Learner Reviews & Feedback for Developing AI Applications with Python and Flask by IBM
About the Course
Top reviews
NU
Aug 21, 2023
This course inspired me to work extremely hard to hone my coding skills. I really appreciate the opportunity to take this course and wish the course team more success in the future endeavors!
KM
Jul 11, 2021
I loved the course, it was hands-on lab with a through need for skills which you are taught previous in the python course. Puts your mind to creativity. Loved it. Would recommend it.
251 - 275 of 322 Reviews for Developing AI Applications with Python and Flask
By OUSSAMA E A
âąJul 11, 2025
this course is good for beginners people, it gives you a helpful stuff in flask.
By Eric R
âąAug 30, 2024
The course was challenging for a real beginning like me - but good for learning
By Sergio C M
âąJun 21, 2025
sigue con algunos problemas en las traducciones, con términos raros, per bien
By Mduduzi M
âąOct 16, 2022
Errors on the course must be rectified and also update github code push
By Usama Z
âąFeb 16, 2025
Its a little bit complicated but I have learn a lot from this course.
By Aishwarya J
âąSep 27, 2024
Soeme instruction were unclear, could have been defined succinctly
By Kiá»t N V A
âąDec 3, 2022
IBM Cloud Foundry is deprecated so I can't push my app on there.
By Janet W
âąMar 11, 2025
Excellent class. The learning labs are very helpful. Thank you!
By Tony Y S
âąSep 18, 2024
Course content is useful. Lab Environment was not quite good.
By Tumelo M
âąAug 15, 2022
Good course but the programming labs are very slow.
By Rafael S R
âąJun 7, 2024
Final project could be better, too massive
By Gregor G
âąFeb 15, 2025
good course and good assignment test
By Walton M
âąJun 8, 2023
Excellent!! material covered
By Shouvik N
âąJun 22, 2024
Great learning experience
By Carlos G B
âąJun 16, 2025
Highly intense
By femi a
âąOct 3, 2022
Great Course
By Abdullah N
âąSep 5, 2023
good course
By Sakhamuri J N
âąSep 15, 2022
nice
By Krushna P C
âąNov 9, 2025
good
By MANALA Y B
âąMay 3, 2025
Good
By M G M R
âąOct 7, 2024
GOOD
By SUJITHRA D (
âąJul 11, 2023
nice
By Luis E N
âąJul 28, 2022
By Subrat L
âąMay 10, 2025
This project showcases the successful development of an AI-powered emotion detection web application using Python, Flask, and IBM Watson NLP. The submission includes all required componentsâfrom cloning the repository and building the core emotion detection logic to deploying the application via Flask, handling errors gracefully, and running static code analysis. Each step is well-documented with clear screenshots as evidence. The application appears to function correctly and demonstrates good programming practices, including modularization, unit testing, and clean UI deployment.
By Michaela M
âąMar 8, 2025
The lab sessions felt too guided, with step-by-step instructions that took away the challenge of figuring out the approach and steps on my own. It would be more engaging if they encouraged independent problem-solving. Also, having to submit 8-12 screenshots for the final test was frustrating and time-consuming. A code validation systemâlike automated tests or file submissionsâwould be much more efficient. I feel that the overly guided process hinders the overall learning experience and makes it harder to truly understand and retain the material.