generative-ai-for-beginners and Azure-AIGEN-demos
The first project provides an introductory curriculum for generative AI, which could be complemented by the second project's collection of Azure-specific demos, documentation, and accelerators for practical application within that ecosystem.
About generative-ai-for-beginners
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
Covers practical concepts like prompt engineering, RAG architectures, and API integrations across Azure OpenAI, GitHub Models, and OpenAI endpoints, with dual Python/TypeScript code examples for each lesson. The curriculum progresses through foundational AI concepts to production-ready patterns, supported by 50+ automated language translations and optional .NET variant for framework diversity.
About Azure-AIGEN-demos
retkowsky/Azure-AIGEN-demos
Azure AI Foundry (demos, documentation, accelerators).
Provides hands-on Jupyter notebooks and reference implementations spanning multiple model families (GPT-5, Mistral, Cohere, FLUX) and enterprise AI patterns including agentic workflows, RAG, real-time interactions, and observability through tracing and custom evaluators. Demonstrates integration with Azure AI Search, Model Router for dynamic request dispatching, and Model Context Protocol (MCP) for agent extensibility. Covers end-to-end scenarios from document AI and image anomaly detection to multi-agent orchestration and safety/compliance evaluation frameworks.
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