LangChain 1.x: Agentic AI & RAG Made Clear - From Scratch

** Why This Course? **

AI is evolving at an incredible pace.

Every day, you'll come across new terms on LinkedIn, YouTube, blogs, and social media—Agentic AI, AI Agents, RAG, Tools, Middleware, Guardrails, and many more.

For beginners, it can feel like a sea of buzzwords, complex diagrams, and unfamiliar concepts. Many people start learning but quickly become overwhelmed because they don't know where to begin or how everything fits together.

This course is designed to change that.

We'll start by understanding how to communicate with Large Language Models (LLMs) and gradually introduce how to build AI applications. Instead of memorizing jargon, you'll understand why each concept exists, how it works, and when to use it.

By the end of the course, you'll have the confidence to move beyond beginner tutorials and continue exploring modern AI frameworks with a clear understanding of the concepts behind them.

** How You'll Learn **

This course takes you from complete beginner to an intermediate level in LangChain and AI application development.

No prior knowledge of OpenAI, Agents, Agentic AI, RAG, or LangChain is required. Every concept is introduced from scratch using simple language and practical examples.

Each major topic concludes with a hands-on lab where you'll apply what you've learned instead of simply watching videos.

To help you practice effectively, every lab includes:

• A complete working solution notebook

• A TODO notebook for guided practice

Throughout the course, you'll build and continuously enhance real AI applications through hands-on coding exercises and Python projects.

You'll learn to build a Chatbot, an Interview Preparation Application, and a Chat with Your PDF application. The Interview Preparation App is enhanced step by step as you learn new concepts, helping you understand how to apply the concepts that you have learnt in the course.

To make complex topics easier to understand, carefully designed visual illustrations and diagrams are used throughout the course, making learning more engaging, intuitive, and memorable.

** Skills You'll Gain **

By the end of this course, you'll be able to:

• Understand how LangChain simplifies AI application development.

• Build AI applications using LangChain and Open AI from scratch.

• Create Agentic AI and Retrieval-Augmented Generation (RAG) applications with confidence.

• Understand Important AI concepts such as Runnable, Tools, Agents, Middleware, Guardrails and RAG.

• Apply these concepts in practical projects instead of simply memorizing theory.

  
  

** Course Topics **

AI Foundations

• AI basics

• OpenAI Python SDK

• Build your first chatbot

Core LangChain

• Messages

• Chains

• Prompt templates

• Build an "Interview Preparation App"

Runnables

• Build workflows using Runnables

• Enhance the "Interview Preparation App" using Runnables

Agentic AI

• Tools

• Agents

• Structured outputs

• Enhance the "Interview Preparation App" using Agents/Tools

Advanced Features

• Streaming

• Middleware

• Guardrails

RAG

• Documents → Embeddings → Vector stores → Retrieval

• Chain-based RAG vs Agentic RAG

• Build a "Chat with Your PDF" application

By the end of this course

You won't just learn LangChain—you'll gain the confidence to design and build your own AI applications from scratch.

** Meet Your Instructor **

I'm Ruchi, a Corporate Trainer and Technical Instructor with over 20 years of experience in software development, enterprise integration, technical leadership, and professional training.

Before becoming a full-time trainer and course creator, I spent more than 12 years at HCL Technologies, where I worked in technical and leadership roles, delivering enterprise solutions and mentoring development teams. I also received multiple awards from HCL and clients, including GE and BEA Systems, for technical excellence and project contributions.

Today, I specialize in Agentic AI, LangChain, RAG, MuleSoft, Java, and Spring, creating practical, hands-on courses that help learners build real-world skills. More than 5,500 learners have enrolled in my courses.

My teaching philosophy is simple: break down complex concepts into easy-to-understand lessons and reinforce them through hands-on labs, so you gain the confidence to apply what you learn in real-world applications.

** Ready to Build Your First AI Application? **

Don't let AI buzzwords hold you back. Start building real AI applications with LangChain, one step at a time. Enroll today and gain practical, hands-on skills that will continue to serve you long after you complete this course.