Develop judgement in building real-world AI products

New
·

2 Weeks

·

Cohort-based Course

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

Previously at

Google
Etsy
Product School
Stanford University

Course overview

What Shipra will teach in 2 weeks

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 on how AI products are built

2) Planning the right dataset and series of experiments

3) Frameworks for making trade-offs and key decisions during the development life-cycle of AI powered products

4) Methods of evaluation for testing, diagnosis and ongoing monitoring of AI powered products

5) 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 potential

2) Case study on innovative data techniques in building AI powered products

3) How traditional AI problems of trust, safety and privacy apply to GenAI applications

4) Non-conventional applications of LLMs in BioTech and Climate

Who is this course for

01

Current Product Managers pivoting to building AI powered products

02

Early to mid-career AI product managers looking to refine their decision-making skills

03

Senior Engineers pivoting from traditional software development to AI powered products

What you’ll get out of this course

Fundamentals of AI Development - A History

How has AI developed over the years?

What were the key breakthroughts and what did they enable?

What can we expect in the future? How do we watch out for and plan for it?

Preparing to use AI in your Product

When should you do it? And when should you not?

Do you have the right data?

How do you prepare the right dataset? (Even when it's non obvious)

How do you plan the right set of milestones or experiments?

Making Trade-offs in Architecture Design

How do you balance cost of development and maintenance with accuracy and latency?

Does the time-to-market justify the above?

How do you estimate the expected time-to-deprecation in the ever-changing world and plan accordingly?

Evaluating an AI Product

How do I diagnose deficiencies in my product?

How do I make launch decisions when metrics are pointing everywhere?

How do I monitor my product on an ongoing basis?


Keeping Abreast

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

This course includes

5 interactive live sessions

Lifetime access to course materials

15 in-depth lessons

Direct access to instructor

2 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Bonus

    Modules

    • Guest Talk : Upcoming AI startups and their Market Potential

    • Guest Talk : Case study on novel techniques for Data-Collection and Evaluation

    • Guest Talk : Non traditional AI applications and Parallel Opportunities

    • Guest Talk: Scope of Trust, Safety and Privacy issues in GenAI Applications

What people are saying

        Shipra's profound domain knowledge, combined with an engaging teaching sets her apart in the world of AI education. Unlike the simplified answers one might get ChatGPT, Shipra has the ability to weave context and relevant examples into her explanations, making complex concepts not only accessible but unforgettable. When she teaches, it sticks.
Marina Slutsker

Marina Slutsker

ex-Google PM, Israel Institute of Technology
        Shipra's course on the foundations of AI and GenAI was clearer and more informative in an hour than a multi-week course that I took from MIT.
Jon Eisenstein

Jon Eisenstein

Unlocked ventures, ex-Google Director
        Shipra Malhotra excels at demystifying complex technical concepts, making them accessible to audiences at all levels. Having attended one of her lectures, I was impressed by how she effectively explained advanced GenAI technology and techniques, fostering an environment of empowerment and exploration. I wholeheartedly endorse her AI courses.
Kelly Gyenes

Kelly Gyenes

Founder, FIREWEED AI
        Shipra is an active member and leader of our PM AI & ML community that I moderate. Her talent for making complex AI concepts accessible has inspired PMs of all levels. Having reviewed her new AI course, I highly recommend it to PMs looking to leverage AI in their products.
Tabrez Shaikh

Tabrez Shaikh

Product Strategy Consultant at Walmart, ex Google PM
        Shipra possesses a unique ability to connect with her students, making complex concepts accessible and engaging. She ensures her content is both comprehensive and comprehensible. What impresses me most is her genuine interest in her students' learning, often going the extra mile to ensure everyone is on the same page.
Manas Minglani

Manas Minglani

Meet your instructor

Shipra Malhotra

Shipra Malhotra

Search ML Lead @Etsy, ex Google, Product School Speaker, Mentor and Coach

Shipra Malhotra is a veteran at building AI powered products with 10+ years of experience.


She is teaching this course with collated knowledge and best practices from her experience, network and all the nuggets on the internet.

A pattern of wavy dots
Join an upcoming cohort

Develop judgement in building real-world AI products

Cohort 1

$499 USD

Dates

Mar 23—30, 2024

Payment Deadline

Mar 22, 2024

|

Bulk purchases

Course schedule

6-8 hours per week
  • Fridays and Saturdays

    We will take Friday evenings and Saturday day-time PST for most live sessions and project discussions.


    All live lectures will allow for QnA.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

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

Learn with a cohort of peers

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

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
Can I get re-imbursed by my company?
I have more questions, how do I contact?
Can I get a hardship discount?
A pattern of wavy dots
Join an upcoming cohort

Develop judgement in building real-world AI products

Cohort 1

$499 USD

Dates

Mar 23—30, 2024

Payment Deadline

Mar 22, 2024

|

Bulk purchases

$499 USD

New
·

2 Weeks