I gave one star as the content of the 9 modules are quite interesting and the final assessment/exam of each of the nine courses are feasible with the instructions. However, the final capstone project required for the final certificate is not at all feasible: Instructions are rudimentary and poor, instructors are not or days later responding to questions. I understand that a final project is supposed to be challenging, and that's fine, but the instruction provided by the courses beforehand is far from sufficient for that.

The video materials are thorough and great. But the Thiea sandbox labs and capstone provide horrible instructions. The instructions are 99% implicit, and are assuming you know exactly what they are talking about all the way through. They completely skip over crucial components, and leave you to Google searching for hours to figure out one portion not mentioned. It'll tell you maybe 1 instruction, and skips the next 5 instructions of how to get to the next part. I am someone with more than advanced knowledge in 15 programming languages.. I cannot imagine how difficult it is for people with no basis going in. Let me be clear, the difficulty in the labs are not the technical part. But how the instructions are provided in such a horrible way. To think i've spent about a month and a half going through the exams and lectures combined. But have easily spent 8 months trying to finish the labs because of their poor instructions and having to go through them aimlessly. If i knew this course was going to cost me over $400 and be so difficult on the labs I probably wouldn't have signed up for it knowing.

Overall, I liked this capstone project. It was really flexible with practically limitless outcomes of how each student can approach each requirement. Some of the requirements need to be elaborated. For example, I didn't understand what some models were used for until the next section, then had to go back and edit them for the next section after I realized what they were for. I also think the Docker and Kubernetes section could use more work as it was not required for the final grading. This topic was one of the larger sections covered in this certification. The Docker and Kubernetes part was mostly just copy and pasting, and I didn't really feel like I grasped enough of this topic because of that.

I found it to be a very comprehensive project and without a doubt very enriching. I learned more than I expected. Regarding opportunities for improvement: In my experience, about 50% of the time invested in the project was spent trying to understand what needed to be done, that is, I spent a lot of time trying to eternally clarify the purpose of each stage of the project. This could be improved by adding a schematic image of the target in each laboratory.

The final selling point that made me sign-up and for this course was that it included Django development. Approximately half the content was a gentle refresher to me, no harm done. When in any doubt about learning, I figured there is nothing to lose, yet always something to gain. I thought the coverage of content was on-point, as the title suggests the full-stack experience. I liked that final projects are peer-reviewed by real fellow students, which adds a touch of credibility. The course exercises and lab environments were hit and miss, reverting to working locally in some cases. And the quality and inconsistency in the task instructions were sometimes frustrating. With that said, it's was reflective of the real world in that reading documentation, searching Stack Overflow, and trial and error is something you need to do well. The course is sponsored and provided by IBM, so fair to say it's IBM Cloud-centric. This was, however, was an insight coming with AWS, GCP and Azure experience. It was good to use another cloud provider. Any doubts throughout the nine courses leading up to the final capstone project? Sure. But it felt worth the while in the end. The final project seemed significantly challenging yet ultimately a satisfying achievement.

so called teachers are not helpful.learners needing help with unclear instructions are told read closer instead of actual help.Learners being told they need to read better when coursera have had many issues with provided code,backend errors , unstable tools and instructions not matching code provided .they are more of a paid babysitter then actual helpful instructors.i advise anyone looking to learn full stack go look elsewhere where your money and time is valued and this goes for every course in the fullstack learning

Full Stack Application Development Capstone Project offers a comprehensive and hands-on experience, equipping learners with the skills to build robust and scalable applications.

excellent course to get an overview of fullstack technologies. Many topics are just called out, and require external insights to understand (see Docker for example)

Cours très interessant et bien monté. J'ai beaucoup appris et je me suis senti accompagné tout au long. Merci

This project was very challenging. I'm proud to complete and passed it.

The course was awesome. I was never bored while doing the project.

Very interesting, I found it challenging but rewarding!

Because I'm still learning django and bootstrap

Great Course for great people!

Best Project for cloud

Zokirjon Vlijonov

Excelente!

important

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Project was good enough to implement our learning skills and knowledge that are learned in a previous course but the platform using to do projects sometimes it doesn't work properly and sometimes it seems difficult to understand the tasks given. But finally a good course to pursue.

Instructions where not completely accurate in some cases, but overall, it was a good, challenging enough, final project.

IBM Cloud and Theia Labs are error prone; Instructors are fantastic. Helpful, courteous, professional, knowledgable.

The content of the course is good, but the process is a mess. The labs kept crashing, and taking breaks (like sleeping) is not advised. The labs reset every once in a while, and you have to go back to previous labs and redo the process of bringing the content live.

1-lab instruction difficult to understand due to lack of samples.

2- more than 24 hours to answers question on the forum creating over due on final week

3- there is not support from Friday to Sunday.

Confusing instructions, IBM Cloud interface is different (IBM Cloud Foundry is in deprecation and IBM Cloud Functions does not have API option).