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Learn Agent Frameworks, earn certificates with free online courses from Northeastern University and other top universities around the world. Read reviews to decide if a class is right for you.
Build autonomous AI agents and orchestrate multi-agent workflows with LangGraph, AutoGen, CrewAI, and Model Context Protocol, connecting them to enterprise APIs and deploying production-ready applications.
Build a customer support AI agent with the Vercel AI SDK: embed docs into a Supabase vector store, add retrieval and web search tools, classify intents with Zod.
Develop Enterprise Multi-Agent systems using Microsoft Agent Framework, Microsoft Foundry, MCP, Aspire, AG-UI and DevUI
Master MAF with Python , Observability, MCP, A2A, RAG , Real-World Agents with OpenAI , Claude , Foundry
Build stateful AI agents with Letta’s MemGPT architecture, using persistent memory, custom tools, and shared memory for multi-agent coordination.
Master agentic frameworks and design principles to create structured, autonomous AI workflows using LangGraph, CrewAI, BeeAI, and AG2 for advanced multi-agent applications with scalable architectures.
Build a customer support AI agent with the Vercel AI SDK, combining retrieval-augmented generation, vector search, structured outputs, tool calling, and web search.
AI agents are changing how we work with data and software.
Build AI Teams That Get Work Done In this course, you’ll learn how to go from a single chatbot to a full crew of AI agents working together with CrewAI.
You've built basic LLM agents that respond to queries—now let's make them stateful.
Develop practical skills building AI agents with Google's Agent Development Kit (ADK).
Build agentic workflows with Google ADK and Vertex AI Gemini, from prompt chaining and routing to a multi-agent AI Research Assistant.
Enhance the navigation experience of your website by using generative AI (gen AI) to provide a better search experience for your users.
Discover why agent frameworks create unnecessary lock-in and learn composable GenAI patterns for building production-ready agentic systems without vendor dependencies.
Build and run Python AI agents with the OpenAI Agents SDK, exploring conversation flows, chaining, and built-in and custom tools.
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