Most popular programs
Trending now
Power up your resume with in-demand RAG and LangChain skills employers are looking for. Dive into the world of retrieval augmented generation (RAG), Hugging Face, and LangChain and take your gen AI career up a gear in just 2 weeks!
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!
Basic knowledge of Python, PyTorch, and transformer architecture. You should also be familiar with machine learning and neural network concepts.
Lesson 0: Welcome
Module 1: RAG Framework
Module 2: Prompt Engineering and LangChain
Course Wrap-Up
What is RAG (Retrieval-Augmented Generation)?
RAG is a technique that combines AI-generated content with real-time data retrieval to improve accuracy and relevance by grounding responses in external information, commonly used in chatbots and knowledge-based systems
What is LangChain?
LangChain is a framework that enables developers to integrate large language models with external tools, APIs, and databases, facilitating the creation of multi-step, dynamic AI applications
How do AI engineers use RAG and LangChain for generative AI applications?
RAG is used to enhance AI accuracy by pulling in external data for real-time content generation, ideal for systems like customer support bots. LangChain helps build complex AI workflows by connecting LLMs with other services, enabling dynamic, context-aware applications
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
