Frameworks
Learn popular agentic AI frameworks. Master LangChain, LangGraph, AutoGPT, Semantic Kernel, and build production agents.
Prerequisites
Complete Level 4: Memory
🎯What You'll Learn
- ✓LangChain for building LLM applications
- ✓LangGraph for stateful agent workflows
- ✓AutoGPT and autonomous agents
- ✓Microsoft Semantic Kernel
- ✓Choosing the right framework
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
Framework Landscape
Navigate the landscape of agent frameworks: LangChain, AutoGen, CrewAI, and more.
LangChain Agents
Build agents with LangChain, the most popular framework for LLM applications.
LangGraph for Workflows
Master LangGraph for stateful, graph-based agent workflows with cycles and branching.
AutoGen Framework
Explore Microsoft AutoGen for multi-agent conversations and code execution.
CrewAI Basics
Learn CrewAI for role-based multi-agent teams with hierarchical coordination.
Microsoft Semantic Kernel
Understand Microsoft Semantic Kernel for enterprise AI orchestration and plugins.
Haystack Agents
Build search and QA agents with Haystack framework for NLP pipelines.
Building Your Own Framework
Design your own agent framework tailored to specific use cases and requirements.
Framework Comparison
Compare frameworks across features, performance, ease of use, and ecosystem.
Choosing the Right Framework
Choose the right framework based on project requirements, scale, and team expertise.