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Learner Reviews & Feedback for Project: Generative AI Applications with RAG and LangChain by IBM
35 ratings
About the Course
Get ready to put all your gen AI engineering skills into practice! This guided project will test and apply the knowledge and understanding you’ve gained throughout the previous courses in the program. You will build your own real-world gen AI application.
During this course, you will fill the final gaps in your knowledge to extend your understanding of document loaders from LangChain. You will then apply your new skills to uploading your own documents from various sources.
Next, you will look at text-splitting strategies and use them to enhance model responsiveness. Then, you will use watsonx to embed documents, a vector database to store document embeddings, and LangChain to develop a retriever to fetch documents.
As you work through your project, you will also implement RAG to improve retrieval, create a QA bot, and set up a simple Gradio interface to interact with your models. By the end of the course, you will have a hands-on project that provides engaging evidence of your generative AI engineering skills that you can talk about in interviews.
If you’re ready to add some real-world experience to your portfolio, enroll today and fuel your AI engineering career.
Top reviews
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1 - 7 of 7 Reviews for Project: Generative AI Applications with RAG and LangChain
By Shiping Y
•Dec 19, 2024
The best of the one of AI foundation courser, Thanks a lot, only this course give code detail material, really learned a lot, Super, Bravo!
By LO W
•Dec 14, 2024
clear teaching material, guiding learner to complete the flow
By HOW T D T
•Feb 14, 2025
one of the best hands on course for RAG practice
By Iryna L
•Jan 15, 2025
i so glad to been here :)
By RAZAFINIMANANA A
•Dec 5, 2024
Très bien !!!
By 329_SUDIP C
•Dec 2, 2024
Nice course
By Georg H
•Dec 30, 2024
This course does not teach well. It goes over the material way too fast without really explaining anything. It informs you about the things you have to learn, albeit elsewhere.