
English | Size: 3.82 GB
Genre: eLearning
Master Agentic AI, RAG, LangChain, FAISS & Local LLMs to Build Real-World AI Assistants (No API)
What you’ll learn
Build real-world RAG (Retrieval-Augmented Generation) AI applications from scratch
Understand how Agentic AI systems work and how to design them
Use Local LLMs (LLaMA via Ollama) — no API cost required
Create intelligent AI assistants that can read, understand, and answer from documents
Work with LangChain, FAISS, and embeddings for building scalable AI systems
Load and process PDF, TXT, and custom data sources for AI applications
Design and implement vector databases for efficient information retrieval
Build a complete RAG pipeline (Retriever + Generator) step-by-step
Develop ChatGPT-like web apps using Streamlit
Create multi-tool Agentic AI systems with reasoning capabilities
Implement prompt engineering techniques for better AI responses
Learn how to structure production-ready AI projects
Build industry use cases like Resume Analyzer, Chatbot, Research Assistant
Debug and optimize AI systems for better performance and accuracy
Deploy and run AI applications locally for real-world usage
Gain practical skills to start a career in Generative AI & AI Engineering
Build a strong portfolio with real-world AI projects
Are you ready to build real-world AI applications without relying on expensive APIs?
Welcome to the Agentic AI Bootcamp, where you’ll learn how to design and develop powerful AI assistants using RAG (Retrieval-Augmented Generation), Local LLMs, LangChain, and FAISS — all from scratch.
This course is designed for beginners, developers, and professionals who want to move beyond theory and start building practical, industry-ready AI solutions. Instead of just learning concepts, you’ll work on hands-on projects that simulate real business use cases in this Agentic AI Bootcamp: Build RAG AI Agents with Generative AI
You’ll discover how to create intelligent AI systems that can read documents, understand context, retrieve knowledge, and respond like ChatGPT — but running locally with zero API cost.
By the end of this course, you will confidently build:
* AI-powered document assistants (PDF & TXT)
* ChatGPT-style web apps using Streamlit
* Agentic AI systems with multiple tools
* Real-world RAG-based AI applications
No prior AI experience is required — we guide you step-by-step using simple explanations and practical coding sessions.
This course is perfect if you want to:
* Start a career in Generative AI & AI Engineering
* Build your own AI tools or startup ideas
* Add high-value AI projects to your portfolio
* Work on real-world applications instead of just theory
The future belongs to those who can build AI, not just use it.
Enroll now and start your journey into Agentic AI and real-world AI development
Who this course is for:
Beginners who want to start learning Generative AI and Agentic AI from scratch
Students looking to build real-world AI projects and improve their portfolio
Python learners who want to apply their skills in AI development
Developers interested in RAG, LLMs, and AI automation systems
Professionals who want to upgrade their skills in AI and emerging technologies
Freelancers aiming to build and offer AI-based solutions to clients
Entrepreneurs who want to create AI-powered tools or startups
Anyone curious about how to build ChatGPT-like AI assistants locally

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trbt.cc/r6xvxdpje79m/AgenticAIBootcampBuildRAGAIAgentswithGenerativeAI.part3.rar.html
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