From prompts to autonomous agents
Exploring the frontier of artificial intelligence - from understanding large language models to building autonomous AI agents that can reason, plan, and execute complex tasks.
Progress
Foundation
Intermediate
Agent Fundamentals
Building AI agents with LangChain, tool use, and autonomous task execution
RAG Systems
Retrieval-Augmented Generation - combining search with LLMs for grounded, accurate responses
Memory & Persistence
Implementing short-term and long-term memory systems for AI agents
Multi-Agent Systems
Orchestrating multiple AI agents for complex collaborative tasks
Advanced
Tools & API Integration
Building custom tools and integrating external APIs with AI agents
Agent Reasoning
Advanced reasoning patterns, planning, and self-reflection in AI agents
Agent Safety & Guardrails
Implementing safety measures, human-in-the-loop, and responsible AI agents
Agent Deployment & Scaling
Production deployment, monitoring, and scaling AI agent systems
Specialized Agents
Building domain-specific agents for coding, data analysis, research, and writing
Agent Scaling
Async execution, rate limiting, caching, and performance optimization for agents
Real-World Applications
Building production applications combining agents, RAG, and multi-agent systems
Capstone Project
Final integration project showcasing all AI agent concepts learned