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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

4.8

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207 个评分

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 32 个评论（共 32 个）

创建者 Thamizharasi A

•

Nov 27, 2025

Good

创建者 IP W K

•

Aug 22, 2025

nice

创建者 FRANCISCO J M S

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Oct 30, 2025

A well-structured course with clear and achievable objectives, though the use of translation tools should be improved, as many terms lose their meaning in translation and confuse students who don’t refer to the original English material.

创建者 Sathish S

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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.