Course Overview
Learn to build autonomous AI agents that can reason, plan, and execute complex tasks. This advanced course covers multi-agent systems, tool use, memory management, and production deployment patterns.
1
Agent Fundamentals
Understanding the ReAct pattern, reasoning loops, and how agents decide what actions to take.
ReAct
Planning
Reasoning
2
Tool Use & Function Calling
How agents interact with external systems. Building tools, function schemas, and error handling.
Function Calling
Tool Schemas
API Integration
3
Memory Systems
Short-term, long-term, and episodic memory. Vector stores, conversation history, and context management.
Vector DB
Context Window
Episodic Memory
4
Multi-Agent Systems
Orchestrating multiple agents. Communication patterns, task delegation, and collaborative problem solving.
LangGraph
CrewAI
Orchestration
Hands-On Exercises
- Build a ReAct agent from scratch with LangChain
- Create custom tools for web scraping and API calls
- Implement a memory system with vector database integration
- Design a multi-agent system for complex research tasks
- Deploy an agent to production with proper error handling
- Build a coding agent that can write and execute code
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