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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

Part 5: APIs, Microservices & MLOps

Part 6: Deploy AI System Production