Practical Project Management for Machine Learning Projects (Udemy.com)

Clear explanations, interesting material, originals and creative examples. Really helped my understanding of how to manage a machine language learning project.

Nice course! In 40 minutes you will get a clear understanding about specific features of PM in ML! It would be nice to have a course about ML adoption. Thank you!

I would have give it a 5 if the class was enriched with a use case at the end and the audio was equalized.

Good, useful course. What the instructor said tallies with my own limited experience in machine learning - so I know that I am on the right track. However, agile methodology seems to be necessary according to the instructor - we need to brush up on that. Overall, the course is short, yet complete. Thanks.

Deseo profundizar mas en el tema

I am about to start working with my first ML team as a Scrum Master/Project Manager. I started looking for help on how to approach the management aspect and am very glad that I came across this course! I got half-way through it, went to my first meeting with the team leadership and impressed them with the questions I was able to ask thanks to what I learned from this course! There are things this course isn’t- it’s not in depth, it doesn’t go into specific ML concepts and it’s not very long. But if you need a solid grasp of what you might find, and need to consider, at each ML project phase, this will definitely help you. The instructor even addresses the fact that your team is very likely to be young (since ML and data science are new disciplines and you get kids that are just coming out of school with these skills) and how to adapt to that! Recommend!

I think the course is very basic. Focuses more on Agile rather than Machine Learning projects. What we need to know more is specific issues in Machine Learning programs e.g.

1. When model(s) are being explored iteratively, how do you control/evaluate/track?

2. Approximately what % of effort goes in various phases. (We have the knowledge about regular projects, so would help to know the same for ML project)

3. How do you fix the project plan? The model itself is not finalized, and we have to make a plan.

4. Systematic way or framework of 'identification & mitigation' of risks for ML projects?

This course is very relevant to the Project Manager's role in ML and AI projects and is ground-breaking. It has been an immediate help in some of the challenges we have encountered to date and I recommend it to the professional Project Manager.

Great course for project managers who are just beginning with management of machine learning projects. Thank you so much !!!

described mostly agile process;not upto mark