GenAI – Roadmap To Learn GenAI. Table Of Contents: Introduction To GenAI. Tokenization & Embedding. Chunking & Types Of Chunking. Vector Indexing. Vector Reranking. Prompt Engineering. Large Language Models(LLMs) Fine Tuning & Adaption Technique. Retrieval Augmented Generation(RAG). Evaluation Metrics. Model Debugging & Troubleshooting.  System Design & Architecture. Deployment, MLOPS & Scalability. Security, Guardrails & Governance. Monitoring & Observability. User Experience & Customization. Multimodal GenAI. Tools, Frameworks & Libraries. Use Cases & Industries Application.  Scenario Based Q & A.

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