Complete Generative AI Course RAG, AI Agents & Deployment

Name: Complete Generative AI Course RAG, AI Agents & Deployment
Price: 3999 INR

Learn Generative AI from scratch – Build RAG, AI Agents & Chatbots, master MCP, and deploy real-world projects

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HinglishAll levelsLast updated October 2026

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Gain the knowledge and hands-on skills required to step into a Generative AI Engineer role.

Curriculum

12 sections · 53 lessons

Introduction3 lessons

IntroductionPreview
What you will learnPreview
Environment Setup Python, IDEs & Dev ToolsPreview

Generative AI – Foundation3 lessons

AI vs ML vs DL vs GenAI
Large Language Models

Accessing LLMs in Python6 lessons

OpenAI LLMs (Proprietary)
Gemini LLMs (Proprietary)

Prompt Engineering3 lessons

Using Prompt Template
Zero-shot Prompting

Building Generative AI Chatbots4 lessons

Building a chatbot with LangChain
Building a chatbot with Llamaindex

RAG - Retrieval-Augmented Generation4 lessons

Understanding RAG
Building a RAG system in Python with LangChain

AI Agents4 lessons

Understanding AI Agents
Build AI Agent with PydanticAI

LLM Deployment0 lessons

MCP – Model Context Protocol0 lessons

Capstone Projects – Build and Deploy Real-World AI Solutions18 lessons

Section 10 - Capstone Projects - Real-World GenAI Applications
Project 1 - ConvoPro – Private ChatGPT Clone

Bonus 1 LLM Fine-Tuning1 lessons

LLM Fine Tuning with LoRA on Google Colab Text to SQL

Bonus 2 Additional Topics7 lessons

Tokens & Tokenizers
Tokenization Hands-On

Requirements

This course requires only a basic understanding of Python and Machine Learning. No prior knowledge of Generative AI is needed — we start from the fundamentals and progress to advanced concepts. All you need is the curiosity to learn by building real-world projects.

Description

This complete Generative AI course takes you from beginner to advanced with hands-on projects, real-world applications, and career-ready skills. You’ll learn the foundations of Generative AI, explore Large Language Models (LLMs), master frameworks like LangChain, LlamaIndex, CrewAI, and PydanticAI, and deploy your own AI solutions on the cloud. The course is tailored to equip you with both the knowledge and practical experience required to step into a Generative AI Engineer role. Each section includes quizzes & coding exercises to help you test your knowledge and reinforce your skills.

Who this course is for

This course is for students, developers, and professionals with basic Python/ML knowledge who want to become Generative AI Engineers through hands-on projects.

Certificate

Earn a certificate by meeting this course's completion requirements. Each certificate has a unique credential ID that employers can verify online.

Internship pathway

Learners who complete this course become eligible to apply for linked internships.

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Transformer - architecture

Groq LLMs (Open-Source)

Ollama (Open-Source & Local)

Accessing LLMs via LangChain

Accessing LLMs via LlamaIndex

Few-shot Prompting

GenAI Chatbot with Streamlit UI

Deploy GenAI Chatbot on Streamlit Cloud

Building a RAG system in Python with Llamaindex

Build a PDF question-answering RAG app with Streamlit

Build AI Agent with Microsoft's AutoGen

Multi-Agent system with CrewAI

Project 1 - ConvoPro - DB & Environment Setup

Project 1 - ConvoPro - Implementation

Project 1 - ConvoPro - Deploy on EC2

Project 2 - StudyPal – RAG-Powered AI Study Assistant

Project 2 - StudyPal - Environment Setup

Project 2 - StudyPal - Document Ingestion

Project 2 - StudyPal - RAG Pipeline Implementation

Project 2 - StudyPal - EC2 Deployment

Project 3 - AstraRAG - Agentic RAG Chatbot - Production-Grade

Project 3 - AstraRAG - Environment Setup

Project 3 - AstraRAG - Document Ingestion Pipeline

Project 3 - AstraRAG - Build RAG Agent

Project 3 - AstraRAG - Build Backend & Frontend

Project 3 - AstraRAG - Deploy locally with Docker

Project 3 - AstraRAG - EC2 Deployment with Docker

Conclusion

ReAct Agents - Explained

Building ReAct Agent from Scratch

Build AI Agents with LangChain V1

LLM as a Judge

Agent Builder - Build Trading Assistant workflow

Complete Generative AI Course RAG, AI Agents & Deployment

What you'll learn

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Curriculum

Requirements

Description

Who this course is for

Certificate

Internship pathway

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AI DevOps + Full Stack + Real Projects AWS, Azure, GCP, K8S