In this lab, you'll build a sophisticated AI agent framework that can use tools, maintain memory, plan multi-step tasks, and execute complex workflows autonomously. Learn to implement ReAct patterns, function calling, agent loops, and create a flexible system for building intelligent agents.
Python
AI Agent Framework
Build an autonomous AI agent system. Implement tool usage, memory management, planning, and multi-step reasoning.
5h 20min
10 modules
Advanced
What You'll Build
Learning Objectives
Implement autonomous agent loops and decision-making
Build a flexible tool/function calling system
Create memory systems for agent context
Implement planning and multi-step reasoning
Handle error recovery and fallback strategies
Build observability and debugging tools
Prerequisites
Advanced Python programming skills
Strong understanding of AI/LLM concepts
Experience with async programming
Familiarity with design patterns
Course Modules
1
Agent Architecture Design
Design the core agent architecture, implement the agent loop, and create the foundation for tool integration.
2
Tool System & Function Calling
Build a flexible tool registration system, implement function calling, and handle tool execution safely.
3
Memory Management
Implement short-term and long-term memory systems, conversation history, and semantic memory with embeddings.
4
Planning & Reasoning
Implement multi-step planning, chain-of-thought reasoning, and ReAct (Reasoning + Acting) patterns.
5
Task Decomposition
Break down complex tasks into subtasks, implement task queues, and manage task dependencies.
6
Error Handling & Recovery
Implement robust error handling, retry strategies, fallback mechanisms, and agent self-correction.
7
Agent Observability
Add logging, tracing, and debugging tools. Visualize agent reasoning and decision-making process.
8
Multi-Agent Coordination
Enable multiple agents to work together, implement agent communication, and coordinate complex tasks.
9
Advanced Tools & Integrations
Add web browsing, code execution, file operations, and API integrations as agent tools.
10
Production & Deployment
Optimize performance, implement safety guards, deploy as a service, and add monitoring.
