Langchain 1.X : Agentic Ai & Rag Made Clear
Langchain 1.X : Agentic Ai & Rag Made Clear
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 139 Lectures ( 11h 5m ) | Size: 6.57 GB
Build Agentic AI & RAG apps—clear explanations, guided steps, and examples throughout
What you'll learn
Build AI applications using OpenAI APIs and LangChain 1.0
Design workflows using chains, runnables, and prompt templates
Develop agentic AI systems using tools and dynamic decision-making
Implement RAG pipelines using embeddings, vector stores, and search
Build AI apps like Chatbot, Interview Prep, and Chat with PDF
Manage multi-turn conversations
Use middleware for logging, error handling, and runtime behavior
Apply guardrails for safety and human-in-the-loop control
Requirements
Basic Python knowledge
No prior experience with AI, LangChain, or RAG is required
A small OpenAI credit (~$5) is recommended for hands-on demos (usage-based, required by OpenAI—not the trainer).
Description
LangChain 1.xWant to go beyond ChatGPT and actually build your own AI applications?In this course, you’ll learn how to design and develop real-world AI systems, including Agentic AI and RAG systems, using LangChain 1.0 and OpenAI APIs.We start simple—understanding how AI models work and how to call them from code. Then, you’ll build a chatbot, create an Interview Preparation application, and learn to structure workflows using chains, templates, and reusable components.Next, explore Agentic AI, where models decide what to do next using tools. Along the way, you’ll learn production-ready concepts like memory, middleware, guardrails, and real-time streaming.You’ll also connect AI with your own data using RAG, enabling applications like Chat with PDF.** What makes this course unique **:Complex concepts are explained using simple visual, cartoon-style illustrations, making them easy to understand—even if you’re new.** Skills You Will Gain **Build AI apps with OpenAI + LangChain 1.0Design chains Develop agent-based systems with toolsBuild Multi-turn conversationsUse middleware for logging, error handling, and dynamic behaviorApply guardrails (PII detection, human-in-the-loop)Implement RAG pipelines (your data + AI)Build real applications like Chatbot, Interview Prep, and Chat with PDFBy the end, you’ll be able to design and build real AI applications—not just use them.
Developers who want to build real AI applications using LangChain,Python learners interested in applying AI in practical projects,Beginners who understand basic Python and want to get into AI development,Professionals looking to learn Agentic AI and RAG concepts in a simple, structured way,Anyone who wants to move beyond using AI tools and start building their own applications