AI/ML simulator for product managers

This course was like a GPS for my learning journey — well-organized, resource-packed, and super practical. I can now sniff out BS in the vast jungle of AI content online :D.

I learned the foundation for building AI products.

Based on this, I adjusted the operation in our AI-based product, and restructured the roadmap and the format for task setting. The main value for me is the increase in efficiency of current processes in the AI team, and a more effective approach to hypothesis testing. This course will be very useful for product managers and project managers who have never managed AI projects before.

The course has an awesome case study on grocery store recommender systems and there is a mind-blowing section on a pivot on business and product strategy!

The authors of GoPractice courses have put in a lot of work in building scenario-based course material, cite papers and datasets, and have a pragmatic approach and project-based learning on the topics.

I have many educational resources to learn from Coursera, Udacity etc. but GoPractice stands out in the experiential and pragmatic learning.

The simulator paid off 10x already in the middle of the training. With the help of the MVP created thanks to the course, we closed a big client on a good contract.

For me, the main value was the following:

• Received a clear algorithm for working on AI projects;
• Understanding how to evaluate models;
• Understanding how to calculate the economic effect of ML models.
• Also, I now have a regular meeting titled 'AI Engine — Development'.

I would recommend the simulator to managers whose products could incorporate AI. I also think it's important for these managers to have the ability to initiate AI projects.

I thought the course was a great intro to what to expect as an AI PM and provided strong skills and foundation to apply those skills to your job or any projects you are working on.

The simulation approach certainly makes it more interesting than traditional courses and the story format makes it easier to remember lessons. It also gives me the confidence to be able to speak these skills to other professionals.

Certainly enjoyed this course, found it helpful, and would strongly recommend it to others. If I were to work on an AI product, I would feel like I have a strong foundation to start from.

I liked the structure and content of the course, as well as its practical orientation. I would recommend this course to managers and business analysts who are starting to work in data analysis. I have extensive experience interacting with managers of adjacent teams, and I would like colleagues without relevant experience to invest their time in the course before starting work. This will increase communication efficiency and project speed.

From my experience in studying, working, and teaching, I know that real problem-solving works best in education. The course authors did a tremendous job and created the coolest product in which you, as an ML manager, immerse yourself in business problems and try to solve them using ML tools.

Moreover, it is so realistic that it seems like you are really doing this project and making important decisions at every turn, from setting the task to choosing the solution method, analyzing the results, and implementing it. All work situations very much resembled my experience working on ML projects. Even metrics and model performance results looked no different from real ones.

After completing the simulator, you will understand how the business can benefit from ML and you will be able to speak a common language with both ML engineering teams and business stakeholders.

I recommend this course to product managers, ML engineers, and anyone interested in understanding how ML projects can bring value to the business.

Special thanks to the authors for an excellent selection of articles, videos, and books!

An excellent course for managers who deal with ML—building products around data, managing ML teams, or just looking for growth points in their product.

The simulator provides the foundation and mental model of basic concepts, the structure of ML projects, potential problems, and ways to solve them. These real "rakes" that are often stepped on in real projects are the most valuable knowledge that cannot be learned from books.

I recommend it to anyone who wants to dive into the specifics of ML projects. Informative, sobering, and useful.

This course is an exciting combination of technical knowledge about the nature of data and the basics of artificial intelligence, illustrated on real business scenarios. Project managers receive the necessary minimum to understand the work of machine learning technology.

Moreover, the simulator vividly demonstrates how to build effective communication between management and development teams. A common understanding of technical aspects, machine learning principles, and business context is a key factor in the success of ML/AI projects. This course provides all the necessary tools to improve communication and mutual understanding within the team.

The AI/ML project management simulator allows participants to make mistakes during the learning stage and minimize their number in real projects.