Don’t learn AI Agents without Learning these Fundamentals

Abstract

🧪AI Agents Labs for Free: https://kode.wiki/3Wh4DZ6

Learn everything about AI agents from scratch in this comprehensive tutorial. No prior knowledge required. We’ll take you from zero to building production-ready AI systems with hands-on labs.

🎯 What You’ll Learn:

• AI Fundamentals - LLMs, tokens, embeddings, and context windows
• LangChain - Simplify AI development with pre-built components
• Prompt Engineering - Zero-shot, few-shot, and chain-of-thought techniques
• Vector Databases - Semantic search with ChromaDB and Pinecone
• RAG (Retrieval Augmented Generation) - Build intelligent document search
• LangGraph - Create multi-step AI workflows and agents
• MCP (Model Context Protocol) - Connect AI to external tools

🔧 Hands-On Labs Include:

• Making your first OpenAI API calls
• Building semantic search engines
• Creating RAG systems for document retrieval
• Developing multi-agent workflows
• Integrating external tools with MCP