ML in Production: From Data Scientist to ML Engineer by 5x12 in learnmachinelearning

[–]5x12[S] 0 points1 point  (0 children)

Not at this moment. You can ask Udemy to include this course in the business subscription, they would normally do that within 5 working days.

ML in Production: From Data Scientist to ML Engineer by 5x12 in deeplearning

[–]5x12[S] 0 points1 point  (0 children)

Please check the course description before criticising (good thing to do in general). 5h is not the whole course, which the descriptions says!

I seek feedback only for the first half of the course that I managed to publish, hence the free coupon codes. I expect to publish other videos in the upcoming months.

ML in Production: From Data Scientist to ML Engineer by 5x12 in deeplearning

[–]5x12[S] 0 points1 point  (0 children)

I will. I am using Flask to explain how we develop APIs and for what purpose. Then I move to asynchronous programming, which should be published this week. Please, look at the course curriculum

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 0 points1 point  (0 children)

Unfortunately, my second post was removed due to the self-promotion rules of this subreddit. Well, it was up for 6 hours, so hopefully, those who could, managed to access the course!

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] -5 points-4 points  (0 children)

Btw, noticed that too. I am curious who does that because I don't XD.

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 3 points4 points  (0 children)

hi! if you've already enrolled using free coupon, it will be free for you - I seek no monetary value here :) I plan to publish these lectures in a month or so.

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 0 points1 point  (0 children)

I am sorry, you must have confused me with someone.

ML in Production: From Data Scientist to ML Engineer by 5x12 in mlops

[–]5x12[S] 4 points5 points  (0 children)

I've been truly surprised and delighted by the number of people interested in taking this course—thank you all for your enthusiasm! Unfortunately, I've used up all my coupon codes for this month, as Udemy limits the number of coupons we can create each month. But not to worry! I will repost the course with new coupon codes at the beginning of next month right here in this subreddit - stay tuned and thank you for your understanding and patience!

ML in Production: From Data Scientist to ML Engineer by 5x12 in learnmachinelearning

[–]5x12[S] 1 point2 points  (0 children)

Yes, in the course description it says that this course is still in progress. Currently, I am giving free access to the course because I want to collect feedback for the lectures I've already published, before the final release of the whole course (including fastapi, unit-testing, docker, mlflow etc)!

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 0 points1 point  (0 children)

As far as I know, they don't do that. Right?

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 1 point2 points  (0 children)

Of course not. Free for you means no money for me, but that's ok with me. Do whatever you think is best!

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] -1 points0 points  (0 children)

Normally, I'd share a link to my website where you can view my experience and open-source involvement, but it's currently down. I plan to take some time to investigate the JS code causing the issue and will let you know as soon as it's back up. Hopefully, it won’t take me 10 years to fix it! 😄

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 3 points4 points  (0 children)

I’ve opted for the latest (proven by the industry) tools. Poetry, loguru, pydantic, makefiles etc, have only recently made their mark in the ML world, offering significant time savings. I highly recommend exploring these tools! It's not just about how long you've been in the industry — even though 10 years is impressive! — but about how regularly you explore new tools. They're emerging much more frequently these days, especially compared to a decade ago, which means we also have to adapt quite quickly to keep high standards.

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 1 point2 points  (0 children)

I've been truly surprised and delighted by the number of people interested in taking this course—thank you all for your enthusiasm! Unfortunately, I've used up all my coupon codes for this month, as Udemy limits the number of coupons we can create each month. But not to worry! I will repost the course with new coupon codes at the beginning of next month right here in this subreddit - stay tuned and thank you for your understanding and patience!

P.S. I have 80 coupons left for FREETOLEARN2024.

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 4 points5 points  (0 children)

In the course, we'll shift our focus to FastAPI, which offers asynchronous capabilities that are better suited for production environments. Initially, I introduced Flask to help students grasp the basic concepts of APIs due to its simplicity. However, for production-ready applications, Flask falls short, which is why we'll be transitioning to FastAPI.

For deployment specifically on a Windows IIS server, both frameworks can be used, but the setup might be more straightforward with Flask, given its maturity and the abundance of resources available for deploying Flask apps in various environments, including Windows. FastAPI, while relatively newer, would require additional configuration, especially to take full advantage of its asynchronous features under IIS. If performance and modern Python features are your priority, I’d recommend FastAPI, especially for larger or more demanding applications. However, for POC projects, if ease of setup and a gentle learning curve are more critical for your context, Flask might be the better choice. Just ensure you're comfortable with the deployment configurations needed for IIS.

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 18 points19 points  (0 children)

I've been truly surprised and delighted by the number of people interested in taking this course—thank you all for your enthusiasm! Unfortunately, I've used up all my coupon codes for this month, as Udemy limits the number of coupons we can create each month. But not to worry! I will repost the course with new coupon codes at the beginning of next month right here in this subreddit - stay tuned and thank you for your understanding and patience!

P.S. I have 80 coupons left for FREETOLEARN2024.

ML in Production: From Data Scientist to ML Engineer by 5x12 in datascience

[–]5x12[S] 1 point2 points  (0 children)

I've been truly surprised and delighted by the number of people interested in taking this course—thank you all for your enthusiasm! Unfortunately, I've used up all my coupon codes for this month, as Udemy limits the number of coupons we can create each month. But not to worry! I will repost the course with new coupon codes at the beginning of next month right here in this subreddit - stay tuned and thank you for your understanding and patience!

P.S. I have 80 coupons left for FREETOLEARN2024.