Back to Develop Generative AI Applications: Get Started

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

4.6

stars

441 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.

Sep 9, 2025

The content covered is very comprehensive and helpful! Would be good if there was less help with the coding tasks, as that would push the learner to memorize things more!

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51 - 75 of 89 Reviews for Develop Generative AI Applications: Get Started

By Michael K

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May 28, 2025

Excellent course

By TH

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Aug 28, 2025

Clear and good.

By Sameep P

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Aug 4, 2025

awesome content

By Emanuele P

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Jul 23, 2025

finito il corso

By Zack M

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Sep 3, 2025

Thorough intro

By Ayush S

•

Nov 24, 2025

great course

By Takahide M

•

Nov 10, 2025

Well done!

By Shaman S

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Sep 20, 2025

very good!

By Barun k B

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Feb 2, 2026

Very Good

By Rodnei S

•

Sep 11, 2025

Excellent

By Abhijit T

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Sep 2, 2025

Excellent

By Luca C

•

Sep 11, 2025

Complete

By Athamanathan K

•

Jan 14, 2026

all gud

By Sanket M

•

Aug 26, 2025

GREAT

By Nabomita G

•

Jul 22, 2025

fsdfs

By Shameem E

•

Nov 20, 2025

good

By MAHIN A

•

Oct 23, 2025

best

By e s

•

Oct 22, 2025

nice

By Vijay K D R

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Sep 8, 2025

Good

By saikiranreddy m

•

Jun 27, 2025

nice

By Ikromjon T

•

Dec 5, 2025

zor

By Filip P

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Jan 16, 2026

A decent course with practical examples in the labs. A couple of videos, in particular those read by AI voices (sometimes really high speed) could be made significantly shorter because they provide a lot of theory that can hardly be retained. Or product information that might be presented better in a written form as a reference / cheatsheet. Labs are excellent but working through them requires significantly more time than the estimated 1 hour. It is difficult to make a learning schedule if one cannot rely on time estimates.

By Jon W

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Dec 2, 2025

A very solid introduction. The lessons are easy to follow, though it's up to you as a learner to pay attention and not just copy/paste code. The content has not been updated to match changes in the libraries (e.g. models no longer existent and changes to lang chain_core.prompt) but these are the same issues you'll need to face in real world development.

By Muhammad N I

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Oct 19, 2025

This course gave me a clear, hands-on introduction to Generative AI applications. The step-by-step explanations and practical exercises made complex concepts easy to understand and apply. Highly recommended!

By ManikandaPrabhu M

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Dec 26, 2025

HandsOn Lab is good but the LangChain versions used could have been v0.1.17 or above to learn the latest features.