• views: 3 199
• date: 18 April 2026
• posted by: 0nelove

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
Requirements
● Basic knowledge of computers and using software
● A laptop/PC with internet access (Windows/Mac)
● Willingness to learn and build hands-on AI projects
Description
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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