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.

The dynamics of the course are interesting, especially the peer review, however, the title is overpromising: "Developing AI Applications..." that could be misleading as all you do is a normal application consuming a third-party AI service

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.

This was one of the worst courses I ever had in any learning platform. The first modules won't prepare you at all to be ready to complete the final project. The AI voice generated voice and video content shows a complete lack of comitment to deliver quality content for learners. From my experience, I think I would need to take 3 or 4 previous courses to be ready to complete this one. Some of the content is repetitive, and some of it starts showing you something you should previsouly know (like Python decorators), then after you progress somehow, you will have a video teaching you about decorators... For the content creation team: please, at least put some MINIMUM effort in the content planning and creation, check the order of every item and advice students how to complement all the needed knowledge BEFORE taking this course.

The course was pretty short and didn't really live up to the name of AI & Application Development.

The lectures were to the point and worth watching.

I appreciate that the final project didn't hold your hand the whole way like other IBM courses, but it was still too easy, especially considering that the sample screenshots on the submission page showed exactly what code to write.

Unfortunately, the Skills Network Lab theia environment gave me no shortage of headaches, especially because I couldn't get the Docker service running, no matter what commands or permissions I used. The staff on the discussion forums were zero help on this issue, simply copy-pasting a response that completely ignored the problem and focusing on a later task that those of us with the issue hadn't even got to yet.

This is 8th course of IBM Fullstack developer professional certificate package I am finishing. The materials of final project are of so bad quality that I will probably abandon the whole package. Starting from the thing, that you actually cannot do the final project on your PC (despite the statements in the final projct materials). You are forced to do that in cloud console, which doesn't even save your work. Being fullstack dev for many years (just different stack) I can only sympathize people who need to finish the course. The course does not demonstrate modern state of development at all. What it will do is to put people off such a career.

This one was not pleasant to follow at all. Nothing but sketchy slides read out loud (often including code) by what sounds like an outdated AI voice. Speaking of AI, besides the voice there is actually very little in the course: You have to _use_ a function from some IBM AI library in the final project module, that's it. Some of the videos and labs contain conflicting information, especially when it comes the running a Flask app. Unless you need it for a certificate, do yourself a favor and find another way to learn Flask.