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AI agents are transforming how we interact with technology. In this module, you'll learn how to develop your first AI agent using Microsoft Foundry and Visual Studio Code.

Units in this learning path:

• Introduction
• Generative AI Agents
• Microsoft Foundry
• Microsoft Foundry Portal
• Developer Tools
• Client
• Lab Create Your First AI Agent
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 74 minutes

In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes defining a business use case, selecting a foundation model (FM), improving the performance of an FM, evaluating the…

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate…

This credential earner has essential hands-on knowledge of Internet of Things (IoT), web development, and chatbot technologies. The individual understands and can demonstrate how to build robots capable of interacting with their environment, devices, and people using the latest industry technologies.

This credential earner knows how to integrate Watson artificial intelligence and web services using Node-RED as a programming tool. The individual understands the basics of cloud-based software and web services communications using API REST protocol. The earner can build their own programs to consume data from the internet and integrate them with AI capabilities.

Learn how to implement the A2A protocol to enable agent discovery, direct communication, and coordinated task execution across remote agents.

Units in this learning path:

• Introduction
• Define A2a Agent
• Implement Agent Executor
• Host A2a Agent Server
• Connect to A2a Agent
• Exercise
• Knowledge Check
• Summary

Products: Foundry Tools

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 56 minutes

Learn Microsoft guidelines for the development of responsible conversational AI, such as chat bots and voice-controlled systems.

Units in this learning path:

• Introduction
• Conversational AI Bot Types
• Responsibility Imperatives
• Transparent Trustworthy Bots
• Ensure Bot Reliability
• Make Your Bot Accessible
• Knowledge Check
• Summary and Resources

Products: Azure, Dynamics 365

Roles: Functional Consultant, Business User

Level: Beginner

Subjects: Artificial Intelligence, Chatbots

Duration: 39 minutes

Learn Microsoft development guidelines for fair and secure responsible conversational AI.

Units in this learning path:

• Introduction
• Consequential Use Cases
• Respectful Protecting Bots
• Fair Diverse Bots
• Ensure Bots Respect Users Privacy
• Bot Security
• Bot Responsibility
• Knowledge Check
• Summary and Resources

Products: Azure, Dynamics 365

Roles: Functional Consultant, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 36 minutes

Take control of your inbox, calendar, and contacts in the new Outlook for Windows experience and make the most of its powerful features.

Modules in this learning path:

• Customize New Outlook Windows
• Compose Send Mail New Outlook Windows
• Organize Your Inbox New Outlook Windows
• Manage Calendar New Outlook Windows
• Manage People New Outlook Windows

Products: Microsoft 365 Copilot, Ms Copilot

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 139 minutes

In this course, you will review Domain 1: Fundamentals of AI and ML of the AWS Certified AI PractitionerAIF-C01 exam. Prepare for the exam by exploring these topics and how they align to AWS services and to specific areas of study. Review videos…

In this course, you will review Domain 1: Data Engineering of the AWS Certified Machine Learning - Specialty (MLS-C01) exam. Prepare for the exam by exploring these topics and how they align to AWS services and to specific areas of study. Review…

In this course, you will review Domain 1: Data Preparation for Machine Learning (ML) of the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam. Prepare for the exam by exploring these topics and how they align to AWS services and…