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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

This trail is your first step into coding on the Salesforce Platform. It covers the fundamentals of Apex, Visualforce, and the Salesforce development lifecycle.

Learn to use the Developer Console, the primary tool for writing, debugging, and testing code in Salesforce.

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…

AWS Step Functions is a low-code visual workflow service used to orchestrate Amazon Web Services (AWS) services, automate business processes, and build serverless applications. In this course, you learn about the different development tools…

Developer Uses Cases for AI with GitHub Copilot explores ways developers can apply AI using GitHub Copilot to enhance productivity, ultimately enabling teams to save time, improve code quality, and boost developer satisfaction.

Units in this learning path:

• Introduction
• Boost Developer Productivity
• Align with Developer Preferences
• AI Software Development Lifecycle
• Understand Limitations Measure Impact
• Knowledge Check
• Summary

Products: Github

Roles: Developer, Devops Engineer, Student

Level: Intermediate

Subjects: Data Integration

Duration: 49 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…

The Online Course Supplement (OCS) is a supplemental resource for the course. The OCS provides a navigable overview of the course as well as reviews and knowledge checks that the student might use on their own or as part of class discussions. An…

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Developing Serverless Solutions on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice

Learn how to design, deploy, and manage agentic AI systems within the software development lifecycle by integrating, orchestrating, and governing autonomous agents using GitHub to ensure safe, reliable, and scalable delivery.

Modules in this learning path:

• Foundations Agentic AI
• Design Agent Architecture Integration
• Agent Tooling Mcp Execution Environments

Products: Github

Roles: Devops Engineer, Administrator, Developer, Solution Architect, Student

Level: Beginner, Intermediate

Duration: 165 minutes