AI Agent Engineer: From Zero to Production
Comprehensive course on AI Agent Engineering — from Python & ML foundation, NLP & LLMs (LLaMA, Mistral, Qwen, Phi), RAG with Vector DB (FAISS, Milvus, Pinecone), to building AI Agent systems with LangChain, LlamaIndex, CrewAI, LangGraph. Practice Fine-tuning, Prompt Engineering, Tool Calling, Multi-Agent. Deploy production with FastAPI, Docker, Microservices, MLOps, CI/CD on AWS/Azure/GCP. Fully meets AI/ML Engineer recruitment requirements at leading technology companies.
Part 1: Foundation — Python, ML & AI Tooling
Part 2: NLP & Large Language Models (LLMs)
Part 3: RAG, Embeddings & Vector Database
Part 4: AI Agent & Agent-based Systems
Lesson 12: AI Agent Fundamentals — Concepts & Architecture150 minLesson 13: Tool Calling, Function Calling & ReAct Pattern180 minLesson 14: Multi-Agent Systems — CrewAI, AutoGen & LangGraph180 minLesson 15: Memory, Planning & Reasoning in AI Agent150 minLesson 16: Building Production AI Agent — End-to-End Project240 min