Instructors:
Malthi SS - CPO @HerKey , Product Executive and Coach(Ex- PayPal, Intuit, SAP) to start-ups, Visiting Faculty - IIM Udaipur, Masters Union
Anuj Gupta - AI Leader(20 yrs of exp), Incubated & led AI efforts & built AI systems in both startups (0-1, 1-n) & Fortune 50 leading to acquisitions, IPOs. Led AI efforts at Possibly India’s first startup to be funded for AI (back in 2013)
AI Advisor to many startups & MNCs
His work endorsed by CMU, DeepMind, Google AI, YC Start-Ups
www.linkedin.com/in/anujgupta-82
Together, both bring the best of the Product & AI worlds with 42 years of industry experience between them.
Course Overview
** In depth & exclusive content to help seasoned product managers transition into AI first world with tons of case studies and examples**
Module 1:(15th June 2024)
Module 2 :( 22nd June)
· Economics of AI - How does the P&L shapes up
· Building Ux for AI first products
· Building Feedback Loops
· Data Management for AI first products
· Hands on Exercise
Modules 3:(29th June)
· Problem mapping to solution strategy -
· Building responsible AI
· AI first product PDLC
· Hands-on exercise
· AI Tools that can help with PM productivity hacks
Also...
Who should attend this course -
This course includes
Outcome and Key Take-aways
FAQs
Who can attend this course?
Anyone who is building digital products. Product Managers, Product Leaders, Entrepreneurs, Data Scientists, Data Engineers
Do I need to be familiar to AI/ML technology to join this course?
Being familiar is helpful but no expertise is needed. This course is designed for anyone new to AI world.
Will I be building any LLMs in this course?
No, we shall briefly touch upon what are LLMs and how should a PM unpack them along with Data scientist.
Will I be learning how to code in python or execute any modeling?
No, this is not part of the course
Do I need to know how to use an API for this course?
Preferably yes, to have a better understanding of the concept and comfort of doing the hands-on exercises
What will be covered in the hands-on exercises?
We plan to build some small prototypes with deterministic workflows where you can learn and experience
Will you be sharing in-depth case studies
Yes, industry relevant case studies will be shared