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Learning Paths

Generative AI Engineer

A visual, end-to-end path to building with generative AI — from Python and LLM foundations through prompt engineering, retrieval-augmented generation, fine-tuning, and finally evaluation, guardrails, and production serving.

Specialization Tracks Generative AI Engineer RelatedAI ConceptsResearch PapersInterview Questions Prerequisites: Python & ML NumPy · PyTorch LLM Foundations Transformers & Attention Tokenization & Embeddings Prompt Engineering Few-shot &Chain-of-Thought Retrieval-Augmented Generation Vector Databases Chunking & Retrieval Fine-tuning & LoRA PEFT · QLoRA Evaluation & Guardrails Deployment & Serving vLLM · TGI Explore AI Concepts

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  1. Generative AI Engineer
  2. Related
  3. Prerequisites: Python & ML
  4. NumPy · PyTorch
  5. LLM Foundations
  6. Transformers & Attention
  7. Tokenization & Embeddings
  8. Prompt Engineering
  9. Few-shot & Chain-of-Thought
  10. Retrieval-Augmented Generation
  11. Vector Databases
  12. Chunking & Retrieval
  13. Fine-tuning & LoRA
  14. PEFT · QLoRA
  15. Evaluation & Guardrails
  16. Deployment & Serving
  17. vLLM · TGI
  18. Explore AI Concepts