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

4.8

stars

67 ratings

About the Course

Ready for an interactive learning experience to develop applications and chatbots for diverse use cases using generative AI? This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain. In the course, you will work on hands-on projects to build chatbots and apps by utilizing popular large language models (LLMs) such as GPT-3 and Llama 2, hosted on platforms such as IBM watsonx and Hugging Face. Additionally, you'll explore retrieval-augmented generation (RAG) technology, enhancing LLMs by incorporating external information beyond their training data. This course also equips you to build voice-enabled chatbots and apps using IBM Watson® Speech Libraries for Embed. To develop these projects, you'll be using Python, making it essential to have a basic understanding of the language. While knowing some HTML, CSS, and JavaScript can be beneficial, it's not a requirement. The course includes supporting videos and readings to build a foundational understanding of models, frameworks, and technologies used in the projects....

Top reviews

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.

Aug 17, 2024

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

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1 - 16 of 16 Reviews for Building Generative AI-Powered Applications with Python

By imtiyaz a

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Jun 3, 2024

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

By Michel

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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).

By Dan O

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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.

By Ülgen S

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Aug 12, 2024

Shallow and outdated content and examples.

By Keshav S A

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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.

By Bob M

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Aug 18, 2024

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

By Bolatan A I

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Sep 19, 2024

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

By Miltos M

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May 8, 2024

Excellent and up to date course. Highly recommended.

By Nguyễn P T H

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Oct 22, 2024

It is a great course, helpful knowledges

By Daniel S

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Jul 17, 2024

Excellent Practical Hands-On Course

By Maysa A

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Aug 7, 2024

sangat memuaskan dan detail

By Hernando A V

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Aug 13, 2024

exelente

By Simha C

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Sep 11, 2024

Awesome

By Lahiru S

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Oct 11, 2024

Good

By PATEL J B

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Oct 8, 2024

Nice

By Carlos Z

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Jun 24, 2024

Los temas son ecelentes pero las explicaciones de las prácticas son malísimas