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
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.
HA
Aug 18, 2025
Simply great! Learnt a lot and also enjoyed the labs!
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