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Learner Reviews & Feedback for Develop Generative AI Applications: Get Started by IBM

4.6

stars

513 ratings

About the Course

Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs. You’ll then dive deeper into LangChain, mastering chains, tools, and agents to create smarter, more responsive applications. Through interactive labs, you’ll build a complete generative AI app using Python that accepts user input and processes it through your backend prompt logic. Plus, you’ll explore web-based interfaces using tools like Flask and Gradio, developing real-time user experiences powered by LLMs. By the end, you’ll have the job-ready skills and demonstrable practical experience employers look for to design and implement full-stack GenAI apps that solve real-world problems. Sound good? Enroll today!...

Top reviews

Aug 25, 2025

Step by Step introduction to concepts with Lab Guide and Summarized Notes and Cheet Sheets to revise the concepts.

May 1, 2026

giving 4 stars as no support is provided by teachers. you can not ask deep questions from AI

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101 - 107 of 107 Reviews for Develop Generative AI Applications: Get Started

By Praveen B

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Jan 1, 2026

helpful

By Divyesh G

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Sep 14, 2025

The video content is good. The last lab was amazing because it provided step by step explanation of implementing the app. However, the labs in the first 2 modules are very long and verbose jupyter notebooks with minor bugs here and there. The improvement in the delivery of the labs or going into details of the specifics in videos will help improve this course.

By Sacha v W

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Jan 4, 2026

The first course in the specialization is ok. Code is very condensed and especially the Flask part is copy paste and not really explained. Furthermore, some code snippets are outdated and do not work in course. Fine for an introduction but it should get more flesh and bone in the following courses.

By Siddharth K

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Feb 10, 2026

The videos are too fast and robotic. Concept explanation is very fast and abstract. The LLM output generates random information on its own and there is no explanation for it.

By Francois W

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Dec 12, 2025

This course is quite outdated as it uses an old version of Langchain, which means that the labs are kinda useless. Some of the concepts still apply.

By Adith

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Sep 23, 2025

Very basic level course, could have been more detailed, but does the job.

By Omar A

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Nov 27, 2025

Most of the code does not work. some models are gives end of lifecycle errors and others plainly do not work. some API keys also does not work either. course content is well structured but the estimated of completion is grossly underestimated i.e. a lab that takes 4 hours to complete marked as a one hour assignment.