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Understand the core concepts — what AI is, how machine learning works, and the transformer architecture that powers modern LLMs
Explore every major LLM family — OpenAI, Anthropic, Google, and open-source — their capabilities, pricing, and use cases
Get hands-on with OpenAI, Anthropic, and Google Gemini APIs — authentication, chat completions, streaming, and multi-provider strategies
Master the art of prompt design — from fundamentals to advanced techniques, structured outputs, system prompts, and optimization
Build AI systems that can access external knowledge — embeddings, vector databases, chunking, search, and complete RAG pipelines
Design autonomous AI agents that can use tools, reason about tasks, and coordinate in multi-agent systems
Learn when and how to fine-tune models — LoRA, SFT, DPO, and evaluation — to create custom AI solutions
Build responsible AI systems — safety, bias, regulation, and production deployment with MLOps best practices