Chevron Left
返回到 Building Generative AI-Powered Applications with Python

学生对 IBM 提供的 Building Generative AI-Powered Applications with Python 的评价和反馈

4.7
236 个评分

课程概述

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....

热门审阅

AC

Jan 8, 2025

I really enjoyed this course. It contains many labs that helped me a lot to understand and practice more in real-world apps. Really appreciate the effort THANKS A LOT ! :)

KA

Jul 22, 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.

筛选依据:

1 - Building Generative AI-Powered Applications with Python 的 25 个评论(共 40 个)

创建者 Michel

Aug 30, 2024

This course gave me a good starting point for building my own RAG enhanced tool. It would be great if you could test the solutions locally on your own PC without creating an account and especially without uploading payment details when still learning (e.g. providing an API key with a certain amount of tokens/ calls per day without credit card).

创建者 Dan O

Jun 13, 2024

The content sounded and felt artificially delivered (because there was never a 'face' to the course'.) and 2 or 3 of the projects could not be completed because there were API credential issues with WatsonX.

创建者 Ülgen S

Aug 12, 2024

Shallow and outdated content and examples.

创建者 SURAJ K A

May 14, 2025

There is no tutorial for coding part. just a single basic intro video. rest i had to figure out how to do it. Only first module has code resource for tutorial rest of modules just have introduction to project. at least you can tell how to use the tools used in the tutorial. even if you want us to create project on our own.

创建者 Paul S

Apr 30, 2025

Terrible 'course'. Very little in the way learning and almost of the modules are reliant on using the IBM IDE - not able to take the learning into my own IDE without paying for a subscription to IBM Watson. Dreadful course

创建者 Bas L

Jan 20, 2025

Really enjoyed this project based course. A lot nicer to learn and interesting to follow than some other IBM courses. Definitely recommend this one

创建者 imtiyaz a

Jun 2, 2024

Lab access and code implementation, explanation make this course unique.

创建者 Leonardo A K V

Feb 3, 2025

The Hands-on page was down like the 70% of the time, and the projects are the same, just call some APIs and copy/paste some code, not very interesting nor helpful. I recomend to do less projects but make the user do more stuff.

创建者 Kevin D

Dec 12, 2024

This is a great course to actually build real applications with practical use cases. Its a pain to use Watson X but you can alter the code to connect to a local llm(if you're actually coding in VS code and not that skill-network side app - hopefully they take this as a hint to revise some of this course) in LLM Studio or Ollama. I Highly suggest it if you want to learn how to build real apps.

创建者 Selene E G

Aug 24, 2025

The course was very dynamic and practical, which made the learning experience engaging. Although at times the Lab environments stopped working, this was compensated by the fact that the instructions for the practical activities were always clear and complete.

创建者 DESAI F S

Jun 28, 2025

This Coursera course is highly practical and teaches you how to build real-world AI apps using LangChain and LLaMA 2. It’s great for learning industry-relevant skills, though it can be light on advanced theory.

创建者 Dennis V

Apr 27, 2025

ottimo corso per creare vere applicazioni...alcuni snippets tuttavia richiedono ulteriori approfondimenti e spiegazioni,tipo langchain (un mondo di utilizzi) , da usare come modelli ed usare come guide.

创建者 Asma C

Jan 9, 2025

I really enjoyed this course. It contains many labs that helped me a lot to understand and practice more in real-world apps. Really appreciate the effort THANKS A LOT ! :)

创建者 Keshav S A

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.

创建者 Ayodele K

May 16, 2025

Great course with foundational learning on AI. Will be taking the AI engineer course soon

创建者 Bob M

Aug 18, 2024

Excellent examples as you complete the lab work to reinforce the lesson objectives.

创建者 Bolatan A I

Sep 18, 2024

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

创建者 Moe M

Dec 2, 2024

Amazing hands on learning and exposure to various tech

创建者 Miltos M

May 8, 2024

Excellent and up to date course. Highly recommended.

创建者 Chester H

Aug 13, 2025

Very Practical, balanced with theories, It was fun!

创建者 Mark W

Jan 26, 2025

Love the direct programming application labs

创建者 Nguyễn P T H

Oct 22, 2024

It is a great course, helpful knowledges

创建者 Daniel S

Jul 17, 2024

Excellent Practical Hands-On Course

创建者 Kareem A

Aug 12, 2025

Very informative and practical.

创建者 Maysa A

Aug 7, 2024

sangat memuaskan dan detail