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Master production-grade Generative AI engineering across 18 modules and 130+ hands-on steps. Cover transformer architecture, embeddings, vector databases, RAG pipelines, fine-tuning (LoRA/QLoRA), AI agents, LLMOps, and deployment on GCP. Every lesson ships with runnable code, Colab notebooks, quizzes, practice labs, and interview Q&A — built for working software engineers by a Technical Architect with 15+ years of industry experience.