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IBM

Mastering Generative AI: Agents with RAG and LangChain

IBM via edX

Overview

The demand for technical gen AI skills is rocketing. AI engineers with competencies in large language models (LLMs), and related methodologies and frameworks such as RAG and LangChain, are highly sought-after. This Mastering Generative AI - Agents with RAG and LangChain course builds the job-ready skills you need to catch the eye of an employer.

During the course, you’ll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain. You’ll build your understanding of RAG, its applications, and its process, along with encoders, their tokenizers, and the Facebook AI similarity search (FAISS) library. Further You’ll learn how to apply in-context learning and prompt engineering to design and refine prompts for accurate responses. Plus, you’ll dive into the world of LangChain tools, components, and chat models, and work with LangChain to simplify the application development process using LLMs.

Throughout the course, you’ll get hands-on practice in online labs developing applications using integrated LLM, LangChain, and RAG technologies. Plus, you’ll complete a real-world project you can talk about in interviews.

If you’re looking to build job-ready skills in RAG and LangChain that employers are looking for, ENROLL TODAY and get ready to power up your resume!

Syllabus

Lesson 0: Welcome

  • Video: Course Introduction
  • Reading: Professional Certificate Overview
  • Reading: General Information
  • Reading: Learning Objectives and Syllabus
  • Reading: Grading Scheme

Module 1: RAG Framework

  • Reading: Module Introduction and Learning Objectives
  • Video: RAG
  • Video: RAG, Encoders, and FAISS
  • Lab: RAG with Hugging Face
  • Lab: RAG with PyTorch
  • Practice Quiz: Module 1: RAG Framework
  • Reading: Summary and Highlights
  • Practice Quiz: Transformers and Fine-Tuning
  • Graded Quiz: RAG Framework

Module 2: Prompt Engineering and LangChain

  • Reading: Module Introduction and Learning Objectives
  • Video: Introduction to LangChain
  • Video: Introduction to In-context Learning
  • Video: Advanced Methods of Prompt Engineering
  • Lab: In-Context Engineering and Prompt Templates
  • Video: LangChain: Core Concepts
  • Video: LangChain Documents for Building RAG Applications
  • Video: LangChain Chains and Agents for Building Applications
  • Lab: LangChain
  • Lab: Guided Project: Summarize Private Documents Using RAG, LangChain, and LLMs
  • Practice Quiz: Prompt Engineering and LangChain
  • Reading: Summary and Highlights: Prompt Engineering and LangChain
  • Graded Quiz: Prompt Engineering and LangChain
  • Reading: Cheat Sheet: Fundamentals of Building AI Agents using RAG and LangChain Transformers
  • Reading: Glossary: Fundamentals of Building AI Agents using RAG and LangChain

Course Wrap-Up

  • Course Conclusion
  • Reading: Congratulations and Next Steps
  • Reading: Team and Acknowledgements
  • Reading: Copyrights and Trademarks
  • Course Rating and Feedback
  • Reading: How to claim your certificate?
  • Reading: Claim your badge here

Taught by

Joseph Santarcangelo

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