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Learner Reviews & Feedback for Building Generative AI-Powered Applications with Python by IBM

4.6

stars

276 ratings

About the Course

Ready for an interactive learning experience to build real-world generative AI applications and chatbots? In this hands-on course, you’ll develop a series of guided projects using Python, Flask, Gradio, and LangChain to create AI-powered applications for practical scenarios, including a voice assistant, a meeting summarizer, a language translator, and a personalized career coach. You’ll work with popular large language models (LLMs) such as GPT-3, Llama 2, and Flan-UL2, hosted on platforms like IBM watsonx and Hugging Face. You’ll also explore advanced concepts, such as retrieval-augmented generation (RAG), to enhance LLM responses with external knowledge, and integrate speech-to-text (STT) and text-to-speech (TTS) using IBM Watson® Speech Libraries and OpenAI Whisper to enable voice interactions. While a basic understanding of Python is essential, knowledge of HTML, CSS, or JavaScript is helpful but not required. The course includes supporting readings and videos to build foundational knowledge of the models and frameworks used. In addition, a comprehensive course glossary will help reinforce your learning....

Top reviews

Sep 19, 2024

The course was well-structured with practical and insightful projects.

Jul 23, 2024

Quick overview of lots of things. Needs to be done in two iterations, first rapid read, and copy-paste, second slow, deliberated, and less copy-paste.

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26 - 50 of 53 Reviews for Building Generative AI-Powered Applications with Python

By Daniel S

•

Jul 17, 2024

Excellent Practical Hands-On Course

By Kareem A

•

Aug 12, 2025

Very informative and practical.

By Maysa A

•

Aug 7, 2024

sangat memuaskan dan detail

By Luis c

•

Apr 5, 2025

Excelente contenido

By Anderson F

•

Apr 23, 2026

muito bom o curso

By Francisco M H S

•

Nov 26, 2024

Todo perfecto

By Neusa M

•

Oct 13, 2025

The best !

By Jorge A c c

•

Nov 21, 2025

excelente

By Mashhura N

•

Dec 7, 2024

very good

By Hernando A V

•

Aug 14, 2024

exelente

By Simha C

•

Sep 11, 2024

Awesome

By rakesh p

•

Mar 2, 2026

good

By Mahesh K

•

Sep 23, 2025

Good

By Paras S

•

Sep 19, 2025

nice

By GURJAR S P

•

Jun 23, 2025

good

By JALAL E

•

May 26, 2025

good

By Javier D J T

•

Dec 10, 2024

Good

By Online L

•

Oct 11, 2024

Good

By PATEL J B

•

Oct 8, 2024

Nice

By MIguel S

•

Apr 10, 2026

Great course but it needs to update all the labs with the latest library versions. some of them do not work

By Anyinson V S

•

Jul 25, 2025

super bueno

By Jingjing W

•

Nov 24, 2025

A lot of codes are pre-made and do not have good explanation for understanding. Too little input from learner into the code. The course heavily rely on the lab without laying down good foundation beforehand. For example, there was no explanation of what Embedding means and I had to search it for myself to understand its relationship with LLM.