Enroll Course: https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain
The demand for skilled AI engineers is skyrocketing, and if you’re looking to break into or advance your career in Generative AI, understanding Large Language Models (LLMs) is crucial. Coursera’s ‘Fundamentals of AI Agents Using RAG and LangChain’ course offers a comprehensive pathway to acquiring these in-demand, job-ready skills.
This course is designed to equip you with practical knowledge in key areas of AI agent development, specifically focusing on Retrieval-Augmented Generation (RAG), prompt engineering, and the powerful LangChain framework. Whether you’re a seasoned developer looking to pivot into AI or a newcomer eager to learn, this course provides a solid foundation.
The syllabus is intelligently structured to guide you through the intricacies of RAG. The first module delves into the RAG framework, explaining its application in creating intelligent chatbots and detailing the RAG process. You’ll get hands-on experience with concepts like Dense Passage Retrieval (DPR) context and question encoders, their tokenizers, and the FAISS library, a crucial tool for efficient vector searching developed by Facebook AI Research. Practical labs using PyTorch for content appropriateness evaluation and Hugging Face for data retrieval will solidify your understanding.
The second module shifts focus to Prompt Engineering and LangChain. Here, you’ll master in-context learning and advanced prompt engineering techniques to ensure AI models generate relevant and accurate responses. The course then introduces LangChain, an open-source framework that significantly simplifies LLM application development. You’ll explore its essential tools, components, chat models, prompt templates, example selectors, and output parsers. The module culminates with an exploration of LangChain’s document loader and retriever, and its chains and agents for building sophisticated applications. The hands-on labs in this section are particularly exciting, allowing you to enhance existing LLM applications and build your own agent capable of interactive and efficient document retrieval using LLMs, LangChain, and RAG.
Overall, ‘Fundamentals of AI Agents Using RAG and LangChain’ is an exceptional course for anyone serious about a career in AI. It balances theoretical knowledge with practical, hands-on experience, making complex topics accessible and actionable. If you want to build job-ready skills in the rapidly evolving field of Generative AI, this course comes highly recommended.
Enroll Course: https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain