Tech and Business Skills Training In Person Anywhere or Live Online

Advanced Docker Design and Troubleshooting

- Operation of your own container registry incl. user administration- Operation of your own log aggregation for containers- Operation of an own monitoring solution for container and host- Use network plug-ins for typical challenges- Complete management of a cluster environment with Swarm- Load balancing with Docker using a concrete example- Handling secrets for containers- Advanced Compose Techniques

• Meeting typical challenges for the smooth operation of Docker in the enterprise. The basics of the Docker Fundamental Course are used and extended by practical solutions.

App in a day

This course will teach you how to build your own application that is completely secure and private.

• Some of the applications of the Power Platform you will learn to build will allow you to potentially:A) Share information with trusted colleagues and associatesB) Monitor and manage your business operationsC) Monitor and manage your customersD) Share business news on social mediaE) Share business photos and footage

Architecting Hybrid Cloud Infrastructure with Anthos

This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.

• Connect and manage Anthos GKE clusters from GCP Console whether clusters are part of Anthos on Google Cloud or Anthos deployed on VMware.Understand how service mesh proxies are installed, configured and managed.Configure centralized logging, monitoring, tracing, and service visualizations wherever the Anthos GKE clusters are hosted.Understand and configure fine-grained traffic management.Use service mesh security features for service-service authentication, user authentication, and policy-based service authorization.Install a multi-service application spanning multiple clusters in a hybrid environment. Understand how services communicate across clusters.Migrate services between clusters.Install Anthos Config Management, use it to enforce policies, and explain how it can be used across multiple clusters.

Architecting on AWS

Over 90% of Fortune 100 companies use AWS, and demand for skilled AWS Solutions Architects continues to grow. In this course, you'll gain the hands-on experience and technical knowledge needed to design secure, high-performing, resilient, and efficient cloud infrastructure on AWS. Learn best practices using the AWS Well-Architected Framework while building real-world solutions that align with business objectives. This course also helps prepare you for the AWS Certified Solutions Architect – Associate exam and is ideal for professionals working toward becoming a certified AWS Solution Architect.

• Learn to identify services and features that make up the core of AWS solutions and apply them using the AWS Well-Architected Framework. You’ll gain experience designing cloud computing environments that are scalable, secure, and resilient. This hands-on course covers compute services like EC2, database services like RDS and DynamoDB, and modern architectures including containers and serverless architecture. You'll also explore automation tools and monitoring solutions that support the creation of highly available IT solutions, helping you build the skills needed to become an AWS Certified Solutions Architect.

Architecting with Google Cloud: Design and Process

This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.

• - Apply a tool set of questions, techniques and design considerations
• - Define application requirements and express them objectively as KPIs, SLO's and SLI's
• - Decompose application requirements to find the right microservice boundaries
• - Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
• - Choose the appropriate Google Cloud Storage services based on application requirements

Architecting with Google Kubernetes Engine

This course introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and other services provided by Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services, as well as networks and application services. This course also covers deploying practical solutions, including security and access management, resource management, and resource monitoring.

• This course teaches participants the following skills:
• - Understand how software containers work.
• - Understand the architecture of Kubernetes.
• - Understand the architecture of Google Cloud.
• - Understand how pod networking works in Google Kubernetes Engine.

Atlassian Cloud Organization Administration

An expert instructor will teach your team how to manage the Atlassian accounts of your employees and the product access and licenses your company uses. Your team will learn how to add users and manage them without using up too many license seats or giving unauthorized access to data.

• Efficiently manage user access to an organization and its products Navigate a cloud organization Manage product billing and access Add, manage, and update users and groups Recognize the different levels of administration within Cloud products Manage the advanced features of Cloud organizations Take advantage of free, premium, and advanced features

AWS Certified Developer Associate Bundle

Our AWS Certified Developer Associate Bundle includes:- AWS Technical Essentials (AWSE)- Developing on AWS (AWSD)- A voucher for the AWS Certified Developer Associate exam

AWS Certified Solutions Architect Associate Bundle

Our AWS Certified Solutions Architect Associate Bundle includes:- AWS Technical Essentials (AWSE)- Architecting on AWS (AWSA)- A voucher for the AWS Certified Solutions Architect - Associate Level exam

55238 SharePoint Online for Administrators

With more than 250,000 organizations worldwide and 85% of Fortune 500 companies relying on Microsoft® SharePoint® for collaboration and content management, its value in modern enterprise is undeniable. The SharePoint Online for Administrators course equips you to become a skilled administrator who can configure, optimize, and secure SharePoint Online within Microsoft 365 environments. You’ll dive into SharePoint’s architecture with hands-on learning across site collections, user profiles, taxonomy setup, apps, and compliance tools. The course also emphasizes critical areas such as data connectivity, storage management, and search configuration to support seamless collaboration.

• By the end of this training, you’ll be prepared to administer SharePoint Online environments, manage hybrid integrations, and deliver a secure, scalable digital workplace that meets your organization’s collaboration and governance needs. Skills gained include: Understand the architecture and key components of SharePoint Online Configure site collections, storage, user profiles, and social features Set up data connectivity, search, taxonomy, and enterprise content management Deploy apps and configure data loss prevention and information rights management Manage advanced options and features in SharePoint Online

55268 Microsoft Power Automate for End Users

This course delivers an instructor-led product showcase for Microsoft Power Automate from start to finish in an engaging and practical way. Power Automate is a diverse product, turning business processes into automated, consistent and visual workPower Automates. Power Automate is designed to interweave the various products in Office 365 as well as connect to other on-premises and web-based solutions. This course will give you the confidence to select the right actions and workPower Automate logic for your business workPower Automates.

• By the end of this training, you will be able to: Understand when and how to use Power Automate Identify the core components and their proper use Create, edit, and manage Power Automate flows Apply logic functions like conditions, loops, and switches Integrate Power Automate with Office 365, SQL, SharePoint, and other systems Use the Power Automate mobile app for on-the-go automation Maintain, share, and administer flows within Office 365

55301 Mastering Microsoft Project 2019

This three-day instructor-led course is intended for individuals who are interested in expanding their knowledge base and technical skills about Microsoft Project. The course begins with the basic concepts and leads students through all the functions they ll need to plan and manage a small to medium-size project, including how to level resources and capture both cost and schedule progress.

• Understand the discipline of project management as it applies to using Microsoft Project 2019. Create a Work Breakdown Structure. Identify Task Types & Relationships. Define Resources within Project. Make Work Package Estimates. Create an Initial Schedule. Create a Resource Leveled Schedule. Create Projects from templates, Excel files. Create Global templates. Create formulas and graphical indicators. The steps to record a macro. Format Output and Print Reports. Integrate Multiple Projects. Set up a Project with a Calendar, Start date, and scheduling method. Understand Manually Schedule vs. Auto Schedule. Manage multiple projects. Be able to create a master project list with shared resources.

55342 Supporting and Troubleshooting Windows 11

This is a 5-day ILT course that is designed to provide you with the knowledge and skills required to support and troubleshoot Windows 11 PCs and devices in an on-premises Windows Server Active Directory domain environment.

• Important Windows 11 features How these features are used in an Active Directory How to troubleshoot these features

55354 Administering Office 365

This five-day course describes how to set up, configure and manage an Office 365 tenant including identities, and the core services of Microsoft 365. In this five-day course, you will learn how to plan the configuration of an Office 365 tenant including integration with existing user identities; plan, configure and manage core services; and report on key metrics. Although this course and the associated labs are written for Office 365 with Windows 11, the skills taught will also be backwards compatible with Windows 10. This course is based on the features available in the Office 365 E3 license as these are the core features in Office 365 and Microsoft 365 plans.

• Plan and provision Office 365 Manage Users and Groups in Office 365 Deploy and Configure Tools and Applications for Office 365 Plan and Manage Exchange Online Plan and Manage SharePoint Online Plan and Manage Microsoft Teams Plan and Manage other Office 365 Services Implement Security and Compliance in Office 365 Report, Monitor and Troubleshoot Office 365

Accelerating Agile Development for Scrum Teams

Concentrating on the resolution of impediments and creation of high-performing, self-managed teams, this course provides a fundamental understanding of the Scrum framework and Agile development methodology for software development teams. With this training you will improve your focus on business value, minimise waste, and apply Lean principles to team projects.

• - Resolve organisational issues that impede Agile team development
• - Match Agile coaching styles to the maturity level of your teams
• - Avoid "story card hell" through effective backlog management
• - Apply Scrum to portfolio management and multiple team projects
• - Develop agility assessments for improving team performance

Access - Part 1

Professionals using advanced query design techniques complete complex data retrieval tasks up to 40% faster and with greater accuracy than those relying only on basic tools. The Microsoft Access Training – Access Part 2 course equips you with the advanced features, queries, reports, and relational design practices, that make this level of efficiency possible. In this course, you will expand your knowledge of relational database design, promote quality input from users, and learn how to improve database efficiency while strengthening data integrity. You’ll also implement advanced features in tables, queries, forms, and reports, giving you the ability to build databases that are more reliable, usable, and scalable. The training focuses on optimization of Access databases, including performance tuning, normalizing data, applying data validation rules, and improving usability.

• After completing this Microsoft Access training course, you will be able to: Navigate within the Access environment, create a simple database, and customize options. Organize and manage data stored within Access tables. Use queries to join, sort, and filter data across multiple tables. Design forms to simplify data entry and review. Create and format custom reports for professional output. Apply validation techniques to ensure data accuracy and integrity.

Access - Part 2

Professionals using advanced query design techniques complete complex data retrieval tasks up to 40% faster and with greater accuracy than those relying only on basic tools. The Microsoft Access Training – Access Part 2 course equips you with the advanced features, queries, reports, and relational design practices that make this level of efficiency possible. In this course, you will expand your knowledge of relational database design, promote quality input from users, and learn how to improve database efficiency while strengthening data integrity. You’ll also implement advanced features in tables, queries, forms, and reports, giving you the ability to build databases that are more reliable, usable, and scalable. The training focuses on optimization of Access databases, including performance tuning, normalizing data, applying data validation rules, and improving usability.

• Provide input validation features to promote the entry of quality data into a database. Organize a database for efficiency and performance, and to maintain data integrity. Improve the usability of Access tables. Create advanced queries to join and summarize data. Use advanced formatting and controls to improve form presentation. Use advanced formatting and calculated fields to improve reports.

AudioCodes SBC in Microsoft Teams Environment: Advanced - Teams

Course TopicsDay 1:- SBC Application Description- Teams Environment: Basic Review- Advanced SBC Interworking Features- Hands-on Lab 1 – SBC Interworking- Advanced SBC Media HandlingDay 2:- Hands-on Lab 2 – SBC Transcoding- Advanced SBC Message Manipulation- Hands-on Lab 3 – Message Manipulation- Tagging and Dial Plan ConceptDay 3:- Call Setup Rules and Tagging- Hands-on Lab 4 – Call Setup Rules-Tagging- Direct Routing Hosting Model- Local Media Optimization- Hands-on Lab 5 – LMODay 4:- ACP Exams:- Certification Exam Part I: Practical- Certification Exam Part II: Theoretical

AB-730T00 Transform business workflows with generative AI

In this course, learners will discover how to apply generative AI to streamline daily tasks, enhance decision-making, and drive meaningful business outcomes. Learners will understand how to use Microsoft 365 Copilot and its functionalities to improve their productivity. The course focuses on real-world use cases—no coding required—making it ideal for those who want to confidently integrate AI into their work.

• Understand how generative AI enhances productivity and decision-making in business workflows.
• Explore real-world use cases of Microsoft 365 Copilot to streamline daily tasks.
• Apply AI tools to automate document creation, communication, and data analysis without coding.
• Integrate AI-driven insights to improve collaboration and business outcomes.
• Confidently use Microsoft 365 Copilot functionalities to optimize performance in a modern workplace.

Advanced Generative AI Development on AWS

The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks. The course structure follows AWS's proven model for generative AI adoption, progressing from experimentation to production-ready implementations.

• - Develop production-ready generative AI solutions using AWS services that meet enterprise requirements for security, scalability, and reliability
• - Evaluate and select appropriate foundation models for specific business use cases, including benchmarking performance and implementing dynamic model selection architectures
• - Design and implement resilient foundation model systems with circuit breakers, cross-region deployment, and graceful degradation strategies
• - Build comprehensive data processing pipelines for multi-modal inputs, including validation workflows and optimization techniques
• - Implement sophisticated vector database solutions using Amazon Bedrock Knowledge Bases, OpenSearch, and hybrid approaches for effective retrieval augmentation

AI Fundamentals with Prompt a Thon using Google NotebookLM

This course gives students a clear start in understanding AI along with hands on practice using Google NotebookLM. The morning helps students learn what AI is, how NotebookLM works, and how to write prompts that lead to useful results. The afternoon turns the room into a working space where students explore a real problem and build a small solution with NotebookLM through a guided Prompt a Thon. Students finish the day with stronger skills in AI thinking, prompt design, and practical use of NotebookLM.

• Explain AI in simple terms and describe common workplace uses Describe the purpose and core features of Google NotebookLM Use NotebookLM to explore files, sources, summaries, and ideas Write clear prompts that guide NotebookLM toward helpful outputs Improve prompts through simple changes that add clarity or context Apply structured prompting during the Prompt a Thon Build and present a small AI supported solution based on a real need

AI Fundamentals with Prompt-a-Thon – Google Gemini & Google Workspace Edition

This one-day interactive course introduces participants to the fundamentals of Artificial Intelligence (AI) through the lens of Google Gemini and Google Workspace. Learners explore what AI is, how Gemini works as Google’s multimodal AI system, and how it integrates seamlessly into everyday Workspace tools such as Docs, Sheets, Slides, Gmail, and Meet. Participants will gain hands-on experience crafting effective prompts and applying AI capabilities directly within Workspace apps to boost productivity, creativity, and collaboration. In the afternoon, learners put their new skills into practice through a guided Prompt-a-Thon, working in teams to solve real-world challenges using Gemini and Workspace. The session encourages experimentation, iteration, and responsible AI use.

• Define AI and explain its role in modern productivity. Describe what Google Gemini is and how it integrates across Google Workspace. Identify when and how to use Gemini within Gmail, Docs, Sheets, Slides, and Meet. Apply prompting techniques to generate and refine outputs effectively within Gemini and Workspace tools. Collaborate using AI to solve real-world workplace challenges. Reflect on ethical considerations such as bias, privacy, and responsible AI use.

AI Fundamentals with Prompt-a-Thon – Perplexity Edition

This immersive course introduces participants to the fundamentals of Artificial Intelligence (AI) with a special focus on Perplexity AI—a conversational research assistant that blends search and generative AI. The morning session explores what AI is, how Perplexity works, and how to use effective prompting techniques to guide its responses for research, writing, and problem-solving. In the afternoon, learners participate in a collaborative AI Prompt-a-Thon, applying Perplexity to real-world challenges. By the end of the day, participants will understand how to think critically, prompt strategically, and use AI tools responsibly to enhance productivity and creativity.

• Define Artificial Intelligence (AI) and describe its practical workplace applications. Explain key AI concepts such as large language models, tokens, context, and hallucinations. Understand what Perplexity AI is, how it differs from traditional search engines, and when to use it. Apply prompting fundamentals including: Instruction, question, and role-based prompts Contextual and few-shot prompts Iterative refinement prompts Use Perplexity for research, summarization, and ideation. Collaboratively solve workplace problems using AI in a guided Prompt-a-Thon. Present refined, AI-driven solutions and reflect on ethical implications (e.g., accuracy, bias, and transparency).

AI Fundamentals with Prompt-a-Thon (Claude Edition)

This one-day course introduces participants to the fundamentals of Artificial Intelligence (AI) and hands-on practice with Anthropic’s Claude, an advanced conversational AI model. In the morning, learners explore what AI is, how Claude fits into the broader AI ecosystem, and how to craft effective prompts tailored to Claude’s strengths, particularly its nuanced reasoning and summarization capabilities. In the afternoon, participants engage in a guided Prompt-a-Thon, collaborating in teams to apply Claude to real-world workplace challenges. The experience builds confidence and creativity while reinforcing core prompting and ethical AI principles.

• Define AI and describe its role in today’s workplace. Explain how Claude and similar large language models (LLMs) function. Recognize common AI use cases that enhance productivity, communication, and creativity. Apply effective prompting strategies specific to Claude, including contextual and chain-of-thought prompting. Evaluate and refine prompts to achieve accurate and useful responses. Collaboratively design and present an AI-driven solution using Claude. Discuss ethical considerations such as bias, privacy, and transparency in generative AI.

AI Fundamentals with Prompt-a-Thon: ChatGPT Edition

This course gives learners a clear and practical look at Artificial Intelligence with an emphasis on how to use OpenAI ChatGPT in day-to-day work. The morning session builds a strong understanding of what AI is, how it works, and how ChatGPT fits into the larger picture. Learners explore the basics of prompting, see real examples, and practice simple techniques that help them get better results. The afternoon is a hands-on Prompt-a-Thon where learners work in small groups to solve real problems by applying what they learned. Each team picks a challenge, builds and tests prompts, and prepares a short explanation of their solution. The experience is interactive and helps learners build confidence using AI tools in practical ways.

• Explain what AI is in simple terms and describe common workplace uses Describe what ChatGPT is and how large language models work at a basic level Use core prompting skills that improve clarity and output quality Apply prompt patterns such as instruction prompts, role prompts, question prompts, context prompts, and refinement prompts Review prompts and outputs with a critical eye and improve them through iteration Work in teams to design real solutions using ChatGPT Present an AI supported idea that explains the problem, the prompt approach, and lessons learned Recognize ethical considerations related to privacy, accuracy, and responsible use

AI Fundamentals with Prompt-a-Thon: Microsoft Copilot Chat

This course introduces participants to the fundamentals of Artificial Intelligence (AI) through the lens of Microsoft Copilot Chat. Learners will explore what AI is, how Copilot Chat works within the Microsoft 365 ecosystem, and how to design effective prompts to boost productivity and creativity. The afternoon focuses on a hands-on “Prompt-a-Thon” where participants work in small teams to identify a workplace challenge and use Copilot Chat to create and refine prompts that deliver practical, real-world results. The session blends conceptual learning with applied practice to help participants leave confident using Copilot Chat in their daily work.

• Define AI and explain how it applies to Microsoft Copilot Chat. Describe how Copilot Chat integrates with Microsoft 365 and supports productivity. Apply prompting fundamentals including instruction, role-based, and contextual prompting. Create and refine effective prompts for Copilot Chat to improve workflows and outcomes. Collaboratively solve real business problems using Copilot Chat in a guided Prompt-a-Thon. Evaluate the ethical implications of using AI tools such as privacy, bias, and transparency.

AI Fundamentals with Prompt-a-Thon: Microsoft Copilot Pro

This hands-on course introduces participants to Artificial Intelligence (AI) through the lens of Microsoft Copilot Pro. The morning session builds foundational understanding of AI concepts and how Copilot leverages them inside the Microsoft 365 suite. Learners will explore prompting techniques not only in Copilot Chat but also directly within Word, Excel, PowerPoint, Outlook, and Teams. The afternoon Prompt-a-Thon invites participants to apply their knowledge by designing practical AI-driven solutions using Microsoft Copilot. Working in teams, they’ll identify real workplace challenges, experiment with prompts, and showcase their results in short presentations.

• Define AI in practical terms and describe how it powers Microsoft Copilot. Explain how Copilot Pro integrates across the Microsoft 365 ecosystem. Demonstrate effective prompting techniques in Copilot Chat and 365 applications. Differentiate between good and poor prompts through hands-on examples. Apply structured prompting to real-world business problems during the Prompt-a-Thon. Reflect on ethical implications of AI use (bias, transparency, data privacy).

DP-500T00 Designing and Implementing Enterprise-Scale Analytics Using Azure and Power BI

This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.

DP-605 Prepare and visualize data with Microsoft Power BI

This course is designed as an introduction to Power BI for data analysis and reporting. Skills include connecting to data and basic data preparation tasks using Power Query, designing report pages for optimal user experience, and exploring how Copilot in Power BI aids the report development process. 

Introduction to DAX for Power BI

Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code.

• At course completion, you should be able toDescribe DAX syntax, data types, and errors
• Use DAX to create calculated columns, measures, and tables
• Explain how DAX calculations are evaluated, along with the differences between row context and filter context
• Configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc.
• Create calculated columns and measures that use data from multiple tables in the data model

Microsoft Power BI - Data Analysis Practitioner

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.

• Analyze data with self-service BI. Connect to data sources. Perform advanced data modeling and shaping. Visualize data with Power BI. Enhance data analysis. Model data with calculations. Create interactive visualizations.

Microsoft Power BI Data Analysis Professional

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

• Analyze data and create reports with Power BI. Connect to data. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Customize and filter visualizations. Use advanced analysis techniques. Share reports and create dashboards in the Power BI Service. Manage and collaborate in the Power BI Service. Enhance reports and dashboards.

Microsoft Power BI Online

This Logical Operations courseware is no longer available on the LO Store, but can be purchased by phone orderThis one-day course familiarizes the student with Power BI Online, which allows the student to intuitively discover and automate the import, transformation, and combination of data across a variety of data sources.

• Understand and utilize Power BI Online.Understand and examine the differences between Power BI Desktop and Power BI Online.Understand and explore the Power BI Online interface.Understand and perform importing Excel worksheets, CSV, TXT, PBIX.Understand connecting to databases.Understand other forms of data.Understand data refresh.Understand and perform creating a new Power BI report.Understand and perform adding filters to a report.Understand and perform adding KPI’s to a report.Understand and perform creating a Power BI dashboard.Understand and perform pinning tiles.Understand sharing reports and dashboards.Understand Power BI Mobile.

Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3)

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages.Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

• In this course, you will analyze data with Microsoft Power BI. You will:Analyze data with self-service BI.Connect to data sources.Perform data cleaning, profiling, and shaping.Visualize data with Power BI.Enhance data analysis by adding and customizing visual elements.Model data with calculations.Create interactive visualizations.

Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3)

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages.Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

• In this course, you will analyze data with Microsoft Power BI. You will:Analyze data with self-service BI.Connect to data sources.Perform data cleaning, profiling, and shaping.Visualize data with Power BI.Enhance data analysis by adding and customizing visual elements.Model data with calculations.Create interactive visualizations.Use advanced analysis techniques.Enhance reports and dashboards.Publish and share reports and dashboards.Extend Power BI beyond the desktop.

Next-Level PowerBI / Intermediate PowerBI (TTDPB02)

Next Level Power BI for Experienced Users®is a two-day course that provides attendees already experienced with Microsoft Power BI basics with a hands-on exploration of intermediate and beyond level features.® This course is geared for attendees ready to learn the advanced techniques that you, your business analysts, and your stakeholders need to create complex information from projects, program, and portfolio reporting to utilizing time-phased data and, potentially, data from your enterprise's other line-of-business tools.

• Working in a hands-on learning environment led by our expert facilitator, students will learn how to:-Identify and retrieve data from data sources and understand the different connection methods.-Optimize query performance-Profile and examine the data and apply data shape transformations-Develop a scalable and performance data model-Enhance the data model with DAX using measures, calculated columns and tables-Use variables and aggregations to optimize model performance-Design and create reports and dashboards-Select and add appropriate visualizations-Create paginated reports-Perform Advanced Analytics-Create and manage workspaces-Manage datasets and dataset refresh-Apply row-level security

Administering Advanced Cisco Contact Center Enterprise

The Administering Advanced Cisco Contact Center Enterprise (CCEAA) v1.0 course teaches you how to execute advanced administration tasks associated with the Cisco® Contact Center Enterprise (CCE) solution through an in-depth examination of technical and operational requirements, and of the tools used to configure and ensure CCE solution functionality.This class will help you:- Learn how to optimize management of CCE solutions for proactive management of contact centers tasks- Manage the effects of using CCE solutions for scalability and interaction between the solution components for centralized application management

• After taking this course, you should be able to:
• - Describe the components, protocols, and call flow of Cisco Packaged Contact Center Enterprise (PCCE) by referencing the discovery platform to prepare for further scripting and configuration activities.
• - Run the CCE Bulk Import utility using the CCE Web Administration tool to develop a base line CCE configuration.
• - Configure an advanced VoiceXML (VXML) application implementing DB lookup functionality and digit collection using Call Studio and CCE Scripting tools; present call data collected from the caller to the Agent desktop.
• - Provision CCE to support Cisco Unified Communications Manager (CUCM) calls to the Contact Center using CUCM and CCE configuration tools. This functionality enables CCE Route Requests from CUCM to support contacts initiated from a CUCM managed device (Gateways, Phones, Line Side Interactive Voice Response [IVR] Ports). This functionality can also enable non-Contact Center calls and calls handled by Agents, whether existing or new.

Administering Avaya Aura Communication Manager

This 5-day Virtual Instructor-Led course is designed for individuals responsible for administering and carrying out day to day administration tasks on Avaya Aura® Communication Manager.

Administering Avaya Aura System Manager

This 5-day Virtual Instructor-Led course is designed for individuals responsible for Administering Avaya Aura® System Manager.

Administering BIG-IP

This course gives network administrators, network operators, and network engineers a functional understanding of the BIG-IP system as it is commonly deployed in an application delivery network. The course introduces students to the BIG-IP system, its configuration objects, how it processes traffic, and how typical administrative and operational activities are performed. The course includes lecture, hands-on labs, interactive demonstrations, and discussions.

• - Describe the role of the BIG-IP system as a full proxy device in an application delivery network
• - Set up, start/restart/stop, license, and provision the BIG-IP system out-of-the-box
• - Create a basic network configuration on the BIG-IP system including VLANs and self IPs
• - Use the Configuration utility and TMSH to manage BIG-IP resources such as virtual servers, pools, pool members, nodes, profiles, and monitors
• - Create, restore from, and manage BIG-IP archives

Administering Cisco Contact Center Enterprise

The Administering Cisco Contact Center Enterprise (CCEA) v1.0 course teaches you the contextual information around call flow between components in the Cisco® Unified Contact Center Enterprise (UCCE) solution including intelligent contact routing, call treatment, network-to-desktop Computer Telephony Integration (CTI), and multichannel contact management over an IP infrastructure. You receive hands-on practice using administrative tools to perform routine adds, moves, and changes in an inbound contact center environment.This class will help you:- Leverage the Cisco Unified Contact Center Enterprise (UCCE) for a smooth integration of inbound and outbound voice applications to support multiple communication channels.- Manage a multichannel contact functionality with IP telephony as a unified solution to rapidly deploy within a distributed contact center infrastructure.

• After taking this course, you should be able to:
• - Navigate CCE configuration and scripting tools
• - Configure a dialed number, call type, and media routing domain
• - Build a basic Cisco Intelligent Contact Management (ICM) script
• - Configure agents and skill groups

Administering Splunk Enterprise Security

This course is for ES Administrators and Engineers.This 13.5-hour instructor-led course enables SOC Engineers to use Splunk’s Enterprise Security SIEM for detection engineering, incident response, automation, asset and identity configuration, and threat intelligence management. Other topics include ES event processing and normalization, managing risk, data models, deployment requirements, technology add-ons, and dashboard dependencies..This course may be delivered over two or three days, with 13.5 total hours of content.

Administering Splunk SOAR

This course prepares IT professionals to configure and manage SOAR.

Administering VELOS

Gain a functional understanding of the F5 VELOS platform. Review F5OS platform layers, hardware components, and configuration of system controllers, chassis partitions, and BIG-IP tenants. Differentiate between VELOS and VIPRION in the areas of cabling, blades, chassis partitions, VLANs and LAGs, BIG-IP tenants, and vCMP guest configurations. Configure a VELOS chassis partition, create and modify a BIG-IP tenant, and create system controller and chassis partition backup configuration files. Activate a BIG-IP tenant and create traffic processing objects. Create a BIG-IP backup UCS file and restore it. Practice basic VELOS troubleshooting using basic VELOS system commands, QKviews, logging, and tcpdump output.Topics covered in this course include:- VELOS introduction- Chassis system controller setup- Chassis partition setup- BIG-IP tenant creation and modification- Basic VELOS troubleshooting

• By the end of this course, you will be able to:
• - Describe VELOS system chassis-blade architecture
• - Describe F5OS platform layers
• - Configure chassis system controllers, chassis partitions, and BIG-IP tenants
• - Identify and resolve basic troubleshooting problems using tools such as LED indicators, log messages, and tcpdump

Advanced AOS-CX Switching

This 5-day course prepares you for the HPE Aruba Networking AOS-CX based ACX - Switching certification exams (Written Exam Code: HPE7-A09 and Practical Exam Code: HPE4-A53). Attending this course will teach you the advanced skills necessary to implement and operate enterprise-level HPE Aruba Networking switching solutions. You will build on the skills you learned at the Professional level to configure and manage modern, open standards based networking solutions using HPE Aruba Networking AOS-CX routing and switching technologies. In this course, you will learn about AOS-CX switch technologies, such as:- Switch virtualization with HPE Aruba Networking Virtual Switching eXtension (VSX)- Redundancy technologies such as Multiple Spanning Tree Protocol (MSTP)- Link aggregation techniques, including Link Aggregation Protocol (LACP)- Securing port access with HPE Aruba Networking Dynamic SegmentationThis course is approximately 50% lecture and 50% hands-on lab exercises.

• After you successfully complete this course, expect to be able to:
• - Design optimized network architectures using AOS-CX switches.
• - Troubleshoot and monitor networks using a variety of tools including Command Line Interface (CLI), port mirroring, HPE Aruba Networking Network Analytics Engine (NAE)), IP SLA, and HPE Aruba Networking Central.
• - Configure and troubleshoot HPE Aruba Networking Virtual Switching eXtension and other Layer 2 features.
• - Configure optimized network routes using PBR, OSPF, and BGP techniques.

AI+ Agile Project Management Fundamentals

This comprehensive 3-day instructor-led training provides a deep dive into data engineering practices and solutions on Amazon Web Services (AWS). Participants will learn how to design, build, optimize, and secure data engineering solutions by using AWS services. Topics range from foundational concepts to hands-on implementation of data lakes, data warehouses, and both batch and streaming data pipelines. This course equips data professionals with the skills needed to architect and manage modern data solutions at scale.

• Design and implement scalable data lakes and data warehouses on AWS.
• Build, optimize, and secure batch data processing pipelines.
• Develop and manage streaming data solutions.
• Apply best practices for data governance and security.
• Automate data engineering workflows by using AWS services.

AI+ Project Management Office Practitioner

AI+ Project Management Practitioner

• Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems

BA07 - Implementing an Agile Project

Many of today's Project Management and Business Analyst Professionals are finding themselves leading, managing and analyzing on Agile development teams - only to find that many of the tools and techniques applied when using a traditional project management approach no longer work as effectively or at all. In order to do more than survive in this iterative development environment, today's Project Manager and Business Analyst must employ additional project management and business analysis tools and techniques to effectively lead their teams and deliver their projects.

• After completing this course, students will know how to:Plan, manage and close requirements for software development project in reduced time using Agile Scrum practicesMinimize project uncertainty and risk by applying Agile principles through the Scrum methodEnsure your project delivers required functionality and adds value to the businessCreate an environment of self-management for your software development team that will be able to continuously align the delivered software with desired business needs, easily adapting to changing requirements throughout the process.Learn how to apply Agile Scrum by measuring and evaluating status based on the undeniable truth of working, testing software, creating a more accurate visibility into the actual progress of projects.

Building and Evolving a Project Management Office

This Project Management Office (PMO) training course will provide you the skills and competencies needed to structure a PMO — including how to analyse portfolio and project success, implement a governance model, and conduct and apply lessons learned. You learn how to standardise project management methodologies, processes and templates.A PMO will provide a means of centralisation, standardization, and greater project oversight within your organisation. Attend this course and gain the skills to enhance alignment of project management with portfolio management and evolve PMO maturity through continuous improvement.

• - Develop a vision and charter of a Project Management Office (PMO)
• - Evolve a PMO to improve project success
• - Automate processes in Project Portfolio Management tools
• - Enhance alignment of project management with portfolio management
• - Evolve PMO maturity through continuous improvement

Certified Associate in Project Management (CAPM)

Did you know that project management professionals earn up to 25% more than their non-certified peers?  If you're looking to launch a career in project management, the CAPM® (Certified Associate in Project Management) certification is the perfect starting point. This globally recognized credential from the Project Management Institute (PMI)® demonstrates your understanding of fundamental project management principles, processes, and best practices. This CAPM exam prep course equips you with the knowledge and confidence to pass the exam and apply project management frameworks effectively. Covering all knowledge areas in PMI’s PMBOK® Guide, the course ensures you develop a strong foundation to manage projects successfully. Whether you're a recent graduate, career switcher, or project team member, earning CAPM certification sets you apart and opens doors to new opportunities in project management.

• This course is designed to fully prepare participants for the CAPM certification exam while providing a strong foundation in project management principles. You will develop skills in project planning, scheduling, cost estimation, risk management, and stakeholder engagement. The course also enhances your ability to understand and apply PMI’s project management framework to real-world scenarios, ensuring you're ready to excel on the exam and in professional settings.

Complex Project Management

Learn Complex Project Management in this intensive real-world, three-day project scenario training course. Learn how to assess, communicate and manage complex projects. Gain a deep understanding of essential influencers of project success or failure and a tool set to address the specific issues for your complex project.Managing complex projects is much more than applying a set of standard practises. This course will help you recognise the level of complexity early, establish the proper initial conditions, and communicate the drivers of success and failure to management, stakeholders and the project team.

• - Incorporate the science of complexity into project management strategies
• - Manage complex projects involving strategic risks
• - Apply a complexity assessment model and adaptive process
• - Minimise uncertainty by leveraging best practices from Critical Chain, Agile, and Lean approaches

PMI Authorized PMP Exam Prep

Gain comprehensive project management professional knowledge and prepare for the PMP® certification from Project Management Institute. The training covers project management methodology, creating high-performing teams, how to start the project, execute tasks, and keep track of progress.

• Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals, Course ObjectivesDefine project management fundamentalsDefine project management within the organizationDefine the project management methodologyCreating a High Performing TeamImplementation and Execution of the Project with the Agile ApproachKeeping your teams on trackTo Align Projects with Organizational Strategies and Goals

PMI Project Management Office Certified Professional (PMI-PMOCP)

This PMI-PMOCP exam prep course equips PMO professionals to transform their offices into value-driven, strategic business assets that deliver measurable outcomes. Created by global PMO experts, this instructor-led course is suitable for PMO practitioners at all career levels. Participants learn how to position the PMO as a key business partner by identifying customer needs and crafting a compelling PMO value proposition. The course explores techniques for assessing project management maturity at both customer and organizational levels. Learners also discover how to tailor, onboard, and continuously enhance PMO services to align with evolving stakeholder expectations. Finally, the course covers methods to measure customer satisfaction and value perception, ensuring the PMO’s impact is visible and recognized.

• Explain how to position the PMO as a value-driven, strategic business partner within the organization.
• Identify customer needs and define a clear PMO value proposition aligned to business outcomes.
• Assess project management maturity for both customers and the wider organization to inform PMO services.
• Design, tailor, and prioritize PMO services that address specific stakeholder expectations and organizational context.
• Implement effective approaches for onboarding, operating, and continuously enhancing PMO services.

55318 Advanced Automated Administration with Windows PowerShell

This three-day course teaches students how to automate administrative tasks using PowerShell. Students will learn crucial scripting skills such as creating advanced functions, writing controller scripts, and handling script errors. Candidates will learn how to use PowerShell when working with Microsoft Azure, SQL Server, Active Directory, IIS, Windows PowerShell Workflow, .NET resources, the REST API and XML, CSV & JSON formatted data files.

• Create advanced functions. Use Microsoft .NET Framework and REST API in Windows PowerShell. Handle script errors. Use XML, JSON, and custom formatted data. Manage Microsoft Azure resources Analyze and debug scripts Understand Windows PowerShell workflow.

55341: Installation, Storage, and Compute with Windows Server

This five-day course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing storage and compute by using Windows Server, and who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019. The course and labs also focus on how to administer Windows Server using not only the traditional tools such as PowerShell and Server manager, but also Windows Admin Center.

• Prepare and install Windows Server and plan a server upgrade and migration strategy. Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to manage disks and volumes. Describe enterprise storage solutions, and select the appropriate solution for a given situation. Implement and manage Storage Spaces and Data Deduplication. Install and configure Microsoft Hyper-V, and configure virtual machines. Deploy, configure, and manage Windows and Hyper-V containers. Describe the high availability and disaster recovery technologies in Windows Server. Plan, create, and manage a failover cluster. Implement failover clustering for Hyper-V virtual machines. Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation. Create and manage deployment images. Manage, monitor, and maintain virtual machine installations.

55343 Networking with Windows Server 2016

55343A is the Community Courseware equivalent of retired Legacy Course 20741BC - Networking with Windows Server 2016. This 5-day classroom-based course provides the fundamental networking skills required to deploy and support Windows Server in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019.

• Plan and implement an IPv4 network. Implement Dynamic Host Configuration Protocol (DHCP). Implement IPv6. Implement Domain Name System (DNS). Implement and manage IP address management (IPAM). Plan for remote access. Implement DirectAccess. Implement virtual private networks (VPNs). Implement networking for branch offices. Configure advanced networking features. Implement Software Defined Networking.

55344: Identity with Windows Server

This five-day instructor-led course teaches IT professionals how to deploy and configure Active Directory Domain Services (AD DS) in a distributed environment, how to implement Group Policy, how to perform backup and restore, and how to monitor and troubleshoot Active Directory - related issues with Windows Server. Additionally, this course teaches students how to deploy other Active Directory server roles, such as Active Directory Federation Services (AD FS) and Active Directory Certificate Services (AD CS). Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019. The course and labs also focus on how to administer Windows Server using not only the traditional tools such as PowerShell and Server manager, but also Windows Admin Center.

• Install and configure domain controllers. Manage objects in AD DS by using graphical tools and Windows PowerShell. Implement AD DS in complex environments. Implement and administer Active Directory Rights Management Services (AD RMS). Implement AD DS sites, and configure and manage replication. Implement and manage Group Policy Objects (GPOs). Manage user settings by using GPOs. Secure AD DS and user accounts. Implement and manage a certificate authority (CA) hierarchy with AD CS. Deploy and manage certificates. Implement and administer AD FS. Implement synchronization between AD DS and Azure AD. Some exposure to and experience with Active Directory concepts and technologies in Windows Server. Experience working with and configuring Windows Server. Experience and an understanding of core networking technologies such as IP addressing, name resolution, and Dynamic Host Configuration Protocol (DHCP) Experience working with and an understanding basic server virtualization concepts. Monitor, troubleshoot, and establish business continuity for AD DS services.

55348: Administering Microsoft Endpoint Configuration Manager

This five-day course describes how to use Configuration Manager and its associated site systems to efficiently manage network resources. In this five-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize Endpoint Protection, manage compliance, and create management queries and reports. Although this course and the associated labs are written for Microsoft Endpoint Configuration Manager and Windows 11, the skills taught will also be backwards compatible with previous editions of System Center Configuration Manager and Windows 10.

• Describe the features Configuration Manager and Intune include, and explain how you can use these features to manage PCs and mobile devices in an enterprise environment. Analyze data by using queries and reports. Prepare a management infrastructure, including configuring boundaries, boundary groups, and resource discovery, and integrating mobile-device management with Intune. Deploy and manage the Configuration Manager client. Configure, manage, and monitor hardware and software inventory, and use Asset Intelligence and software metering. Identify and configure the most appropriate method to distribute and manage content used for deployments. Distribute, deploy, and monitor applications for managed users and systems. Maintain software updates for PCs that Configuration Manager manages. Implement Endpoint Protection for managed PCs. Configure an operating-system deployment strategy by using Configuration Manager. Manage and maintain a Configuration Manager site.

55371 Windows Server Administration

This five-day instructor-led course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing identity, networking, storage and compute by using Windows Server, and who need to understand the scenarios, requirements, and options that are available and applicable to Windows Server. The course teaches IT professionals the fundamental administration skills required to deploy and support Windows Server in most organizations.

• By the end of this training, you’ll be able to manage identity, networking, storage, compute, virtualization, and security within Windows Server. You'll also understand upgrade and migration paths for legacy environments. Deploy and manage core Windows Server infrastructure components Implement and manage AD DS, Group Policy, and identity services Configure networking: DHCP, DNS, IPAM, and remote access Set up Hyper-V virtualization and storage services Manage security, backup, high availability, and disaster recovery

8D612 IBM TRIRIGA Application Platform v3.7

The course provides an introduction to the TRIRIGA Application platform and how to modify the existing TRIRIGA applications and processes or create new ones. The course covers navigation and mechanics of the TRIRIGA Application Platform toolset that is used for creating and modifying objects. Students are also provided background on importing data to TRIRIGA, how to use the Form Builder and the Reporting Dashboard.

• After completing this course you should be able to:Perform moderate-level IBM TRIRIGA application customizations by using the PlatformCreate and modify business objects by using the Data ModelerCreate and modify user interfaces by using the Form Builder toolDefine lists and classificationsImport data by using the Data IntegratorImplement business logic with workflowsCreate reports and queries by using the Report Manager and the IBM TRIRIGA Reporting Dashboard

Active IQ Unified Manager Troubleshooting

In this course, you learn how to troubleshoot and solve 60% of all cases involving Active IQ Unified Manager (AIQUM). You learn to properly frame and get assistance on the other 40%. The course materials include an exercise workbook that guides you through various troubleshooting situations.

• - Install Active IQ Unified Manager on Windows and Linux
• - Deploy an AIQUM OVA instance
• - Examine the maintenance console
• - Explore the AIQUM management interface
• - Explain the performance component

Administration of Active IQ Unified Manager ONTAP

Through brief lectures, exercises, and classroom discussion you discover how to deploy and maintain NetApp® Active IQ® Unified Manager. You also learn how the performance-management features of Unified Manager provide a unified approach to storage management that reduces complexity. This course can be delivered in a traditional classroom or a virtual classroom.

• This course focuses on enabling you to do the following:
• - Describe the NetApp data management solutions
• - Define common data management terminology
• - Install and maintain a Unified Manager deployment
• - Use Unified Manager to monitor the health and performance of your storage infrastructure