Microsoft · on edX
Microsoft's code-first edX course on building AI agents with Semantic Kernel and Azure AI services: function calling and custom tools, RAG with Azure AI Search, multi-agent orchestration, and deploying and monitoring production agents. For developers who want a structured course with an optional paid certificate rather than a docs-style learning path.
Developers and builders. This is an intermediate course in AI Agents & Developer Tools, running about 2 weeks, ~7 hours per week.
Free to audit. Free to audit on edX; the verified certificate costs $120. Price seen 2026-11-01.
An influential essay series, modelled on the 12-Factor App, arguing for owning your prompts, context window and control flow, treating tools as structured outputs, and keeping agents small, stateless and pausable. It suits engineers moving agents from demo to production who want design principles rather than another framework tutorial.
Google and Kaggle's intensive pairs a daily whitepaper with hands-on codelabs on foundation models, embeddings, agents, domain-specific LLMs, and MLOps using Gemini and the Agent Development Kit. For developers who want a dense, free bootcamp-style sprint through Google's GenAI stack.
Builds a healthcare multi-agent system from agents written in different frameworks, wraps each in an A2A server, builds A2A clients, and orchestrates them in sequential and hierarchical workflows using Google ADK, LangGraph, BeeAI and Microsoft Agent Framework. For developers who need agents from different teams or vendors to discover and talk to each other.