All related (8)
Deepak Mukunthu
Senior Director of Product, AI/ML Platform, DocuSignJune 27

Assuming you are specifically interested in AI product management, I would suggest these approaches to get started with ML. While I was new to ML/AI, these approaches helped me.

1. Online courses

2. Part-time certifications

3. Conferences

4. Kaggle

5. Publish your work

6. Internship/Volunteering

I covered this in my session on AI/ML Product Management: https://www.linkedin.com/video/event/urn:li:ugcPost:6929801568753971200/

If you are looking for guidance on general product management, let me know. There is a lot of material online and I can point you to.

Suhas Manangi
Group Product Manager, AirbnbJune 7

Product School, Try Exponent, and Product Allinace are good resources for PM interviews prep. 

Later is a good question. Interesting idea. I don't know of any, but it so interesting that someone should be offering it. Perhaps they might have rolled into certification or cohort courses with live projects!

Savita Kini
Director of Product Management, Speech and Video AI, Cisco
Seek to understand and clarify first before assuming you have learnt everything that is to know and propose solutions.  I see there are lot of online courses, documentation, articles -- you can do a lot of reading online to educate yourself about the complexities of model development, data gathering, data labeling, training and testing.  One of the big challenges for AI/ML PMs is understanding whether we have enough data for training the model, is it diverse enough to cover for the specific use-case, model deployment, and corner cases where the model might fail.  There is this notion tha...
Vasanth Arunachalam
Director, Technical Program Management, Meta | Formerly Microsoft
This response also applies to one of the other questions asked here - "What qualities stand out in some of the best TPMs you know?" I strongly believe that you can be a successful technical product manager regardless of your background, as long as you have the passion and growth mindset. It is not rocket science (for that matter, look at Elon Musk for rocket science). So I’ll focus on some of the desirable soft skills that makes one a successful technical product manager - * Able to technically grok how things work, very fast * Balanced (between Strategic and Technical thinking) & Objec...
Suhas Manangi
Group Product Manager, Airbnb
5 years from now, likely there is going to be no difference between a Traditional PM and AI PM. AI is going to be used/present in all products. I see "Traditional PM role" as a foundational one to have, upon which one can grow to become a good AI PM. Good Traditional PM with aptitude for tech and data science is likely to do well as a good AI PM. Taking a Udemy course on basics of AI/ML, and applying to every day PM job will be a great start.
Deepak Mukunthu
Senior Director of Product, AI/ML Platform, DocuSign
While working on ML product/feature, there are 2 sets of metrics: 1. Product success metrics that product managers define. Purpose of the is to measure the business/product outcome you are trying to optimize for. Your standard metrics like customer adoption, usage, retention, satisfaction etc. fall in this bucket. So, product managers choose what's best for the situation at hand. 2. ML metrics that data scienstics define. These metrics measure how good the ML approach/solution/model is. For e.g., good metrics to measure a Regression task are: Root Mean Squared Error (RMSE) or Mean Absolut...
Navin Ganeshan
Head of Driver Products, Amazon Relay, Amazon
(Reposting this from a related question)  A technical product manager at Amazon is generally referred to as a Product-Manager-Technical (PM-T). A PMT can have ownership over a product, a functional area or even a program, but their primary focus is on formulating the vision, the strategy and roadmap for that area. They are also ultimately responsible for the end metrics of adoption, quality and effectiveness of the features they deliver. They are also the primary customer champions synthesizing their current pain-points, as well as anticipating future needs. They develop concept document...
Devika Nair
Director of Product, Oracle Cloud Infrastructure, Oracle
The best tech product managers I know have a very good understanding of their product. This includes understanding the customer needs and market. They use this knowledge to make quick, but data backed decisions about the product direction.  They are also able to influence and bring along a wide range of stakeholders in order to successfully execute.