Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
22 Hour(s) 31 Minute(s)
Language
English
Taught by
DS with Bappy
Rating
Course Overview
Master Generative AI, Model Context Protocol (MCP), and build cutting-edge AI Agent Systems with Python & LLMs
This hands-on course teaches you how to build professional level Generative AI Application, intelligent, autonomous AI Agents using MCP (Model Context Protocol) and modern LLM frameworks.
Whether you’re an AI beginner or an experienced developer, this course will take you step-by-step through the tools, strategies, and architectures that power modern GenAI applications.
What You’ll Learn:
- Introduction to Generative AI and its role in modern development
- Introduction to Large Language Models (LLMs) and how they power intelligent applications
- Generative AI Architecture Basics – understand the core components of a Gen AI application
- Advanced Gen AI Application Architecture for scalable and modular systems
- How to apply the Retrieval-Augmented Generation (RAG) technique for enhanced responses
- Choosing the Right Orchestration Framework for building LLM-powered apps
- LangChain – A modern framework for LLM orchestration
- LangChain Expression Language (LCEL) – Build AI flows with clean, declarative syntax
- Deep dive into the LangChain Ecosystem for agents, tools, memory, and chains
- Mastering Prompt Engineering – Learn to craft optimal prompts for LLMs
- Level 1 Gen AI Applications – Basic AI-powered tools and assistants
- LlamaIndex – An alternative to LangChain for RAG and LLM app orchestration
- LLMOps (Large Language Model Operations) – Manage and monitor LLM Apps
- Level 2 Gen AI Applications – Build intermediate systems with memory, tools, and retrieval
- Develop Multimodal Gen AI Applications (text, image, audio integration)
- Build and deploy AI Agents & Multi-Agent Systems using orchestration frameworks
- Level 3 (Professional) Gen AI Applications – Real-time, scalable, production-ready systems
- CI/CD for Gen AI – Deploy your Gen AI apps with automated pipelines
- Understand and implement MCP (Model Context Protocol)
- Hands-on Projects – From AI assistants to autonomous agents and RAG-powered apps
- Fine-tuning LLMs for domain-specific use cases and better performance
Course Content
- 10 section(s)
- 94 lecture(s)
- Section 1 Introduction to the Course
- Section 2 Introduction to Generative AI
- Section 3 Introduction to Large Language Models (LLMs)
- Section 4 Introduction & Architecture of a Generative AI Application
- Section 5 LLMs & Frameworks for Generative AI
- Section 6 Retrieval-Augmented Generation (RAG) Technique
- Section 7 Choosing Orchestration Frameworks for Application Development
- Section 8 LangChain - A Modern Orchestration Framework
- Section 9 LangChain Expression Language (LCEL)
- Section 10 LangChain Ecosystem
What You’ll Learn
- Understand the fundamentals of Generative AI and Large Language Models (LLMs)
- Design and build scalable Generative AI applications using Advanced Gen AI Application Architecture
- Master Retrieval-Augmented Generation (RAG) techniques for smarter applications
- Explore and leverage orchestration frameworks like LangChain and LlamaIndex
- Gain hands-on experience with LangChain Expression Language (LCEL) and its Ecosystem
- Develop strong Prompt Engineering skills to optimize LLM outputs
- Build end-to-end Gen AI applications across multiple complexity levels (Beginner to Professional)
- Implement AI Agent and Multi-Agent systems for advanced automation
- Integrate Multimodal data (text, image, etc.) into Generative AI applications
- Learn LLMOps (Large Language Model Operations) for efficient deployment and management
- Deploy Generative AI applications to production using CI/CD pipelines
- Understand and implement Model Context Protocol (MCP) for context-aware applications
- Fine-tune Large Language Models (LLMs) to fit custom project needs
- Work on real-world Generative AI projects to solidify practical knowledge
Skills covered in this course
Reviews
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MMukul Soni
Speaking too fast with that accent, Coudn't understand few things what he is actually saying and had to listen it again with captions.
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DDebarpan Haldar
ppkojh
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KK N Venkata sai
Amazing course lot to learn in ai
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RRohit Bharti
Every point and every bit of the LLMs are covered.
