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Labs
Explore a growing library of guided technical labs, curated from Microsoft advocates and community experts. Build real projects in your own environment—apply modern workflows, explore AI tools, and develop job-ready skills.
Entry point for developers new to AI. Beginner-friendly, free or trial-compatible. Don't have an Azure subscription yet? Start your free trial today
21 lessons covering AI fundamentals, prompt engineering, and building with LLMs. Start from zero and build your first generative AI apps.
12 lessons on building AI agents with AutoGen, Semantic Kernel, and LangGraph. Learn how agents reason, plan, and use tools.
Learn MCP fundamentals through real-world examples in .NET, Java, TypeScript, Python, Rust, and JavaScript. Build modular, scalable AI workflows.
Code-centric, applied labs for developers building AI applications.
Run language models on your own machine with Foundry Local. Build RAG pipelines, AI agents, and multi-agent workflows in Python, JavaScript, and C# — no cloud account required.
Hands-on course covering AI-assisted development from the terminal — code review, test generation, debugging, custom agents, and MCP integration with GitHub Copilot CLI.
Get started with the AI Toolkit in VS Code. Compare multimodal models, augment them with prompts and data, then prototype an agent with MCP tools.
Build agents and connectors for Microsoft 365 Copilot. Multiple tracks — API plugins, declarative agents, and custom engine agents.
A hands-on introduction to the Azure Developer CLI (azd). Build and deploy a real-world application to Azure using modern development workflows and best practices.
Infrastructure, migration, and operations for IT Pros and Platform Engineers.
Simulate production traffic spikes, deploy self-healing agents, and troubleshoot Kubernetes clusters using natural language and MCP integrations.
Deploy an AI-powered e-commerce app on Azure, then use Azure Monitor, AKS, and Azure OpenAI to troubleshoot and optimize it in guided workshop exercises.
Configure Log Analytics, Application Insights, data collection rules, and alert notifications. Build comprehensive monitoring for Azure workloads. ~85 minutes.