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Learner Reviews & Feedback for Project: Generative AI Applications with RAG and LangChain by IBM
163 ratings
About the Course
Get ready to put your generative AI engineering skills into practice! In this hands-on guided project, you鈥檒l apply the knowledge and techniques gained throughout the previous courses in the program to build your own real-world generative AI application.
You鈥檒l begin by filling in key knowledge gaps, such as using LangChain鈥檚 document loaders to ingest documents from various sources. You鈥檒l 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鈥檒l connect to LangChain to develop an effective document retriever.
As your project progresses, you鈥檒l 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鈥檒l 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 29, 2025
Muy buen curso. Explicaciones claras. El 煤nico problema es que despu茅s de una semana me bloquedaron mi cuenta en IBM Cloud.
HA
Aug 19, 2025
Simply great! Learnt a lot and also enjoyed the labs!
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