Malthi S S

Instructors:

Malthi SS - Product Executive and Coach(Ex- PayPal, Intuit, SAP) to start-ups, Visiting Faculty - IIM Udaipur

www.linkedin.com/in/malthis

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:(30th March)

• What is AI? Impact of AI in the Digital Products
• Learn the evolution of AI and understand difference between NLP, ML, Deep Learning, Gen AI et al.
• Unpack various layers of an AI stack
• Use Cases across industries of how AI has influenced the digital landscape
• Traditional PM (Software 1.0) vs AI PM (Software 2.0)
• Explains why Product management in AI first world requires serious upgrade
• Case Studies of products
• Understand ROI curve in AI
• Crucial to understand right way to develop AI systems across layers
• Deep dive with a case study
• Exercise - Share outs of similar case studies in other verticals

Module 2 :(6th April)

• Impact of AI in PM function in every stage of PDLC
• Product, Process and people
• UX for AI Products
• Understand why AI products require a very specialized UX
• Levels of AI - Building feedback loops - Case Studies
• Constructs of LLM, Gen AI
• Case study based explanation
• Hands-on exercise

Modules 3:(13th April)

• How to leverage AI for PLG
• Constructs of Machine Learning, NLP, LLM
• Case study based explanation
• Hands-on exercise
• How to build Responsible AI
• Why Building guardrails is must
• Stakeholder management
• AI Tools that can help with PM productivity hacks

Also...

• Frameworks to help you make decisions on how to leverage AI for your products and transform your organization to an AI-first in its approach
• Templates and Toolkits to optimize your deliverables
• Case Studies for references
• Office hours post the sessions

Who should attend this course -

• Product Leaders
• Product Managers
• Data Scientist
• Data Engineers
• Tech Product managers

This course includes

• Live Interaction with Instructors for 9 hours
• Tons of case studies and examples
• Lot of hands-on exercises to apply learnings
• Lifetime access to community members
• Course certificate upon completion
• Lifetime access to course material
• Recordings of the sessions
• Guided feedback
• Network of Like-Minded Professionals
• Access to the community

Outcome and Key Take-aways

• Deep AI Understanding : Will help you to lead AI transformative projects
• Practical AI Application : Real-world case studies and hands-on exercises will help in developing relevant and effective AI products
• Specialized aspects of developing AI powered products will help in career advancement, influencing AI strategy and innovation.

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 

• customizing the model based on your data and context
• Improvising the model based on the feedback loops

Will you be sharing in-depth case studies 

Yes, industry relevant case studies will be shared