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学生对 IBM 提供的 Project: Generative AI Applications with RAG and LangChain 的评价和反馈

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课程概述

Get ready to put your generative AI engineering skills into practice! In this hands-on guided project, you’ll apply the knowledge and techniques gained throughout the previous courses in the program to build your own real-world generative AI application. You’ll begin by filling in key knowledge gaps, such as using LangChain’s document loaders to ingest documents from various sources. You’ll then explore and apply text-splitting strategies to improve model responsiveness and use IBM watsonx to embed documents. These embeddings will be stored in a vector database, which you’ll connect to LangChain to develop an effective document retriever. As your project progresses, you’ll implement retrieval-augmented generation (RAG) to enhance retrieval accuracy, construct a question-answering bot, and build a simple Gradio interface for interactive model responses. By the end of the course, you’ll have a complete, portfolio-ready AI application that showcases your skills and serves as compelling evidence of your ability to engineer real-world generative AI solutions. If you're ready to elevate your career with hands-on experience, enroll today and take the next step toward becoming a confident AI engineer....

26 - Project: Generative AI Applications with RAG and LangChain 的 27 个评论（共 27 个）

创建者 Sathish S

•

Feb 27, 2025

Helped me to get comfortable with hands-on with simple examples and explanations. Together with the coach bot, it helped me in understanding things better. Project at the end was a good way to summarize what i learnt in the course.