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.
KA
It covers the subjectt and includes fantastic lab notebooks.
AB
One of the best courses for building a solid foundation in RAG and LLMs. THanks for giving me this opportunity to learn
HA
Simply great! Learnt a lot and also enjoyed the labs!
S
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!
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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.
good, clear, but some duplicative, could be better organized
It was a good project for what it was, but please, for the love of god, stop making us use IBM's models and your crumby IDE. They suck in comparison with other models (which is fine, don't be sad), and are limited to your laggy IDE (if you're going to fork VS Code, just let us use VS Code-- don't have us re-learn the wheel by using workaround commands just because you're too afraid to expose your LLM APIs--that we probably wouldn't want to exploit anyway. Just let us use OpenAI or Huggingface; you talk about them in your courses enough anyway).
Really haven't seen such a bad course in a long time. They tell you to code on their cloud environment which is super laggy and i couldn't even complete the project because of so many errors from their side that this ai model isn't supported. then what is supported??
This is terrible given Langchain should be opensource, this course just wants you to use WastonX without teaching you the basics.
El curso “Proyecto: Aplicaciones de IA generativa con RAG y LangChain” ha sido una experiencia sumamente enriquecedora. La calidad del contenido y la claridad con la que se explican los conceptos permiten comprender a fondo cómo funciona la IA generativa aplicada a entornos reales. Pero, sin duda, lo mejor es el taller final, que brinda la oportunidad de poner en práctica todo lo aprendido a lo largo del curso. Integrar RAG, LangChain y modelos de lenguaje en un proyecto completo hace que el aprendizaje sea mucho más significativo y aplicable al mundo profesional. ¡Altamente recomendado!
Muy completo, con explicaciones claras y con todas las opciones para poner en practica, simplemente puedo decir felicitaciones y muchas gracias por todos los conocimientos aportados, por parte de IBM y Coursera.
I highly recommend this course. It has so much information, so many details, and it’s very easy to understand. Don’t waste your time searching,just enroll in this course. It’s the best!
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!
Muy buen curso. Explicaciones claras. El único problema es que después de una semana me bloquedaron mi cuenta en IBM Cloud.
One of the best courses for building a solid foundation in RAG and LLMs. THanks for giving me this opportunity to learn
Great! I learned a lot working on scenario-based problems, creating real-world solutions using LLMs and LangChain.
Excelente!!! La forma en que se explicaron los conceptos y la parte técnica GENIAL. Muchas gracias
clear teaching material, guiding learner to complete the flow
It covers the subjectt and includes fantastic lab notebooks.
Super it was a great journey! Highly recommended 4 all !
Simply great! Learnt a lot and also enjoyed the labs!
one of the best hands on course for RAG practice
The course content is very useful and practical
Great Course! The Labs were very helpful