LLM Fundamentals
- What is ChatGPT
- Understanding GPT
- Large Language Models
- Parameters
- Tokens and Tokenization
- Temperature and Sampling
- Context Windows
- Prompting Basics
- Your First LLM Call
- Lab Intro
- Lab Walkthrough Your First API Call
- When to Use an LLM
Tools and Workflows
- Roles and Messages
- Introduction
- What are Tools
- Tool Integration
- Lab Walkthrough Build a Tool Calling App
- AI Workflows
- Workflows vs Agents
- When to Use Each
Building AI Agents
- Introduction
- What is an Agent
- Lab Walkthrough Your First Agent Loop
- Agent Components
- Lab Walkthrough Wire Up Components
- Agent Memory
- Lab Walkthrough Agent Memory in Action
- Lab Walkthrough Build a ReAct Agent
- Planning and Reasoning
- Multi Agent Systems
- Lab Walkthrough Apply Agentic Patterns
- Coding Agents
- Error Handling
- Agentic Patterns
- Google Agent Patterns
- Agent Frameworks
- Lab Walkthrough Build a Safe Agent
- Coding Setup
- Lab Walkthrough Build Personal Assistant Agent
Introduction
Production & OpenClaw
- Introduction
- OpenClaw Code Walkthrough
- OpenClaw Architecture
- OpenClaw Pi Packages
- Lab Walkthrough Design Better Tools
- OpenClaw Agent Loop
- Lab Walkthrough Add Persistent Memory
- Testing Agents
- Lab Walkthrough Test Your Agent
- Monitoring and Debugging
- Lab Walkthrough Add Monitoring
- Performance and Scaling
- Security Considerations
- Prompt Engineering Best Practices