Cohort 2

Build the necessary technical depth to make trade-offs and exercise judgement during the lifecycle of an AI driven product

Shipra Malhotra

Product Lead @Dropbox Dash, ex Google, Product School Speaker, Mentor and Coach

Develop judgement in building real-world AI products

Google

Dropbox

ABOUT THE INSTRUCTOR With over 10+ years of experience launching AI products at Google, a strong technical acumen and unique teaching ability; Shipra Malhotra is now offering this course to help you level up your skills in building and launching successful AI driven products. ABOUT THE COURSE This course is designed to give you --1) Foundational technical knowledge of key concepts2) Planning the right dataset and roadmap 3) Methods of evaluation for testing, diagnosis and ongoing monitoring of AI powered products4) Frameworks for making key decisions during the development life-cycle of AI powered products5) Ways to keep abreast in this ever-changing field This course will be heavy in the usage of examples (specially from Search and Recommender systems) for the purposes of demonstrating key principles. Guest talks on --1) Upcoming AI startups and evaluating their potential2) Case study on innovative data techniques in building AI powered products3) How traditional AI problems of trust, safety and privacy apply to GenAI applications4) Non-conventional applications of LLMs in BioTech and Climate

What Shipra will teach in 3 weeks

Current Product Managers pivoting to building AI powered products

Mid-career and Lead AI Product Managers looking to refine their decision-making skills

Senior Engineers pivoting from traditional software development to AI powered products

Who is this course for

What you’ll get out of this course

How has AI developed over the years?What were the key breakthroughts and what did they enable?What can we expect in the future?

Fundamentals of AI Development - A History 

When should you do it? And when should you not?How do you prepare the right dataset? (Even when it's non obvious)What requirements must be set in advance to form a complete picture?How do you plan the right set of milestones or experiments?

Preparing to use AI in your Product

How do you balance cost of development and maintenance with accuracy and latency?Does the time-to-market justify the above?What are the key paradigms for a safe user experience in AI products?

Making Trade-offs in Architecture Design

How do I diagnose deficiencies in my product?How do I make launch decisions?How do I explain why my product is behaving a certain way?How do I monitor my product on an ongoing basis and avoid PR fiascos?

Evaluating an AI Product

Reading materials and selected sources for staying up-to-date

Keeping Abreast

Veterans from the industry speaking about their experience with AI and their ground-up experience

Guest Lectures

Go back to course content and recordings whenever you need to.

Lifetime access

Stay accountable and share insights with like-minded professionals.

Community of peers

Share your new skills with your employer or on LinkedIn.

Certificate of completion

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Entrepreneur, ex-Google PM, Israel Institute of Technology

Product Strategy Consultant at Walmart, ex Google PM

What people are saying

Meet your instructor

We will take Saturday day-time PST for live sessions and project discussions. All live lectures will allow for QnA.

Saturdays

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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