Great Course

good course

nice

Good

GOOD

nice

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 components—from 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.

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 system—like automated tests or file submissions—would 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.

It's ok as a general view but the explanation is very poor, the content is good but the methodology for teaching could be improved, also for some reason i am unable to join the professional certificate of Generative AI Engineering, it says i already purchase the specialization and i'm still following the courses but what happens when i finish, it doesn't show that i am in that specialization it says i am in AI developer instead.

I liked this course content, but I am a bit disappointed about its scope. You won't really “Develop AI Applications with Python and Flask”, instead of that, you will be able to develop a web interface to use a remote IBM's Already-Trained AI model, to evaluate some strings via API.

There were some technical issues with Theia. Why does it still use Python 2.7? It appears incompatible with ibm_watson 6.1. The technical issues meant that it took substantially more time to complete the project.

Flask was only covered at very high level. But this course gives a bit of detail on Software Development Process. Hands-on Lab were very helpful.

Its a basic level. You can use existing AI feature as a url and can use it your application. Thats it.

The course was interesting, but the Theia lab they use it full of bugs that you have to work through.

need more practice for programming. Directly assigning project is not appreciable.

why i complete course all grade pass but i dont have certication

The final project API link is outdated and can't be used anymore

the online coding platform is not very good to use.

Often unclear. Took much longer than expected to

the AI sound makes it harder

Final lab has some issues.

Phyton kernel not stable.

No sé

I would have given this course one more star, but the IBM Watson Translator has been deprecated (as of tomorrow, 10 June 2023). The "demonstrate understanding" aim of this course is commendable but it is a clear departure (a wakeup call?) from the earlier "demonstrate memorization" approaches of the earlier coursework. Student be warned: the synopsis does end with "It is intended for you to apply prior Python knowledge." -- you will have to build on 4 different aspects of app dev in order to succeed here.

1. Python Web development using Flask:

2. Watson API implementation: Exchange data using Watson APIs

3. Python Test techniques: Develop functions and application logic and write unit tests

4. Python Packaging: Package the application for distribution with Github. You will demonstrate your foundational Python skills by employing different techniques to develop web applications and AI powered solutions.

My quibble (for other 2 stars) is that this should really have been a 4-week course that could have had two different programming projects and not generated the student angst that shows up so clearly in the comments and moderator responses. For someone who is a more accomplished developer, much of my comments would have been of little concern. To continue to carry forward the majority forward the course could easily have smoothed the learning curve and perhaps made it a little less steep.