This course doesn't go into detail about finance or reinforcement learning. The labs are largely broken.

Actual programming was nonexistent, the assignments just had you run already-written jupyter notebooks

The lecture content is great but the labs are not working at all... moving on to a different course

Lacks depth of most topics , too brief of an introduction

Not sure it is good material for real tradings bots

No labs or quizzes for auditing students

Very few real practical exercises.

too basic.

The overview of finance is fine, but the ML is instructed in a very basic and bad manner. The labs are just a torture. All you need is either copy-paste commands from the instruction or run all the cells in the notebook. No thinking, no sir. And in order to do these "assignments" they don't use coursera's local notebooks and grader, no. They use GCP, in incognito mode, and there are problems: 1. GCP's interface changed, so some of the labs' guidelines are not much relevant and you need to find stuff yourself.

2. For jupyter notebook, the education notebook itself is not the most time-consuming part. You will login to GCP, create notebook, wait ten minutes for it to be created (but GCP won't show it, you need to close the tab and relogin to GCP again to see "open jupyterlab"). And then, after 10 minutes you run and read all the cells for a minute. Yep, time management

3. Btw, GCP is in incognito mode. What if it forgets you right in the middle of "education" process? Say you do "git clone" or run the notebook and bum, nothing works, GCP asks you to re-login. Yea, boy, start all over: login, create notebook, wait for it to say "open jupyterlab", etc... Summary, the finance part seem good and clear. ML part is weak. Labs are just torture to waste of time and nerves. Questions they ask also are unclear and structured in a pattern matching manner of "words from lecture - question". One of the worst courses I've ever head. I hope they won't train Neural nets in SQL in the next ones (god bless)

The required labs for passing are not uploaded and there is no support in the discussion forums. This means you can not effectively undertake this course without recreating the required cloud systems yourself.

Also, the content is massively outdated and uses an old version of tensor flow which is now deprecated. The course feels like its around 3 years old but only just been uploaded to coursera now.

Very poor experience in my humble opinion and I want my 2 hours of troubleshooting this back.

A waste of time and money really. Appears to cobbled together from other courses. It doesnt flow, instead jumps around on random topics and none of them link up. It can jump from very basic concepts to suddenly covering complex topics in the in a 2 minute video. The "graded" exercises are pointless. Just following a series of (convoluted) steps and nothing is learned and nothing is actually graded. Dont waste you time with this.

There could be some useful information in there but even with subtitles, the horrible audio quality makes it much too painful to wade through. I gave up and cancelled the course. I'm very disappointed as my cloud experience is entirely AWS and I was looking forward to learning about the Google Cloud alternative. How could a company as strong as Google produce such a staggeringly poor introduction to their platform?

Total disaster. There's no "AI Platform" in google cloud platform and you need to go there to do your labs. Don't buy it, please... Even if I downloaded the ipynb with !git command I still cannot open it in a colab enterprise platform. And, I don't like the millman, because his hands are uncontrollable and it is almost impossible to watch the videos because of it.

There seems to much detail lacking in both ML and Trading aspects of the course. Moreover, the practice labs are not interactive and don't build up to add much to the content. There's not much exploration during labs either. Overall, a very poor introduction.

The lectures are good. The coursework is atrociously bad. It appears to be pulled from a bunch of unrelated courses on both ML and BigQuery. The lectures are worth a listen, but I didn't come away having learned anything about programming ML for Trading.

It not available in China whatsoever. The course works fine. Yet the Qwiklabs are dumb. Even if you log in with a VPN, google will still block you because of geographic location, which is China. You should mention that at the info page or fix the problem.

The finance presentations were well-done. Unfortunately they have nothing to do with the other videos, or the assignments, which are about using GCP and machine learning in general. They have nothing to do with application of the financial material.

Constant headaches trying to get GCP to work. Even if you do get it to run without crashing (unlikely) you don't really learn much in the labs because they are already 100% written for you - its just run this code we provided.

Unable to access required course materials (https://www.coursera.org/learn/introduction-trading-machine-learning-gcp/discussions/search?q=qwiklabs).

More of theory.

Labs are not very poor. Doesn't explain the important part of code.

Intuition is not explained well.

Waste of money

I can't stand the voice and the gestures of one of instructors, they really bother me. Sorry. Leaving because of this.

You basically pay for getting an advertisement. Nothing is actually taught except for introducing the "amazing" GCP.

Everything was superficially stated and the assignments were not clear and workable at all

Outdated instructions. Notebooks don't run since packages changed or API changed

This needs a serious update - The google cloud instructions do not work.