Udemy – Complete RAG Bootcamp: Build, Optimize, and Deploy AI Apps

Unlock the full potential of Retrieval-Augmented Generation (RAG) — the framework behind today’s most accurate, data-aware AI systems. This comprehensive bootcamp takes you from the fundamentals of RAG architecture to enterprise-level deployment, combining theory, hands-on projects, and real-world use cases.

You’ll learn how to build powerful AI applications that go beyond simple chatbots — integrating vector databases, document retrievers, and large language models (LLMs) to deliver factual, explainable, and context-grounded responses.

What You’ll Learn:

• The core concepts of Retrieval-Augmented Generation (RAG) and why it’s transforming AI.
• Building RAG pipelines from scratch using LangChain, LlamaIndex, and FAISS.
• Implementing hybrid search (keyword + vector) for smarter retrieval.
• Creating multi-modal RAG systems that process text, images, and PDFs.
• Building Agentic RAG workflows where intelligent agents plan, retrieve, and reason autonomously.
• Optimizing RAG performance with prompt tuning, top-k selection, and similarity thresholds.
• Adding security, compliance, and role-based governance to enterprise RAG pipelines.
• Integrating RAG into real-world workflows like Slack, Power BI, and Notion.
• Deploying complete front-end and back-end RAG systems using Streamlit and FastAPI.
• Designing evaluation metrics (semantic similarity, precision, recall) to measure retrieval quality.

Tools and Technologies Covered

• LangChain, LlamaIndex, FAISS, OpenAI API, CLIP, Sentence Transformers
• Streamlit, FastAPI, Pandas, Slack SDK, Power BI Integration
• Python, LLM Prompt Engineering, and Enterprise Security Frameworks

Real-World Hands-On Labs

Each section of the course includes interactive labs and Jupyter notebooks covering:

• RAG Foundations – Build your first retrieval + generation pipeline.
• LangChain Integration – Connect document loaders, vector stores, and LLMs.
• Performance Optimization – Hybrid, MMR, and context tuning.
• Deployment – Launch full RAG applications via Streamlit & FastAPI.
• Enterprise Use Cases – Finance, Healthcare, Aviation, and Legal systems.

DOWNLOAD LINK: Complete RAG Bootcamp: Build, Optimize, and Deploy AI Apps

Complete_RAG_Bootcamp_Build_Optimize_and_Deploy_AI_Apps.part1.rar – 1000.0 MB
Complete_RAG_Bootcamp_Build_Optimize_and_Deploy_AI_Apps.part2.rar – 1000.0 MB
Complete_RAG_Bootcamp_Build_Optimize_and_Deploy_AI_Apps.part3.rar – 1000.0 MB
Complete_RAG_Bootcamp_Build_Optimize_and_Deploy_AI_Apps.part4.rar – 1000.0 MB
Complete_RAG_Bootcamp_Build_Optimize_and_Deploy_AI_Apps.part5.rar – 72.1 MB

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