Back to Project: Generative AI Applications with RAG and LangChain
Learner Reviews & Feedback for Project: Generative AI Applications with RAG and LangChain by IBM
160 ratings
About the Course
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.
Top reviews
S
Dec 18, 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!
WT
Jun 28, 2025
Muy buen curso. Explicaciones claras. El único problema es que después de una semana me bloquedaron mi cuenta en IBM Cloud.
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