Develop judgement in building real-world AI products

5.0

(5 ratings)

3 Weeks

Cohort-based Course

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

Develop judgement in building real-world AI products

5.0

(5 ratings)

3 Weeks

Cohort-based Course

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

Hosted by

Shipra Malhotra

Search ML Product Manager @ Etsy, ex-Google, Product School Speaker

Shipra Malhotra

Search ML Product Manager @ Etsy, ex-Google, Product School Speaker

Previously at

Course overview

What Shipra will teach in 3 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 of key concepts

2) Planning the right dataset and roadmap

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

4) Frameworks for making key decisions during the development life-cycle 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

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

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

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?

Preparing to use AI in your Product

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?

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?

What are the key paradigms for a safe user experience in AI products?

Evaluating an AI Product

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?

Keeping Abreast

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

Guest Lectures

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

This course includes

5 interactive live sessions

Lifetime access to course materials

4 in-depth lessons

Direct access to instructor

1 project 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

Week 1
Jul 27—Jul 28
Week dates are set to instructor's time zone
Nothing scheduled for this week.
Week 2
Jul 29—Aug 4
Week dates are set to instructor's time zone
Nothing scheduled for this week.
Week 3
Aug 5—Aug 11
Week dates are set to instructor's time zone
Nothing scheduled for this week.
Post-Course
Events
Sep
7
History of AI Development - Key Breakthroughs
History of AI Development - Key Breakthroughs
Sat, Sep 7, 6:00 PM - 7:30 PM UTC
Sep
7
Preparing for an AI powered Product or Feature
Preparing for an AI powered Product or Feature
Sat, Sep 7, 8:00 PM - 9:30 PM UTC
Sep
14
Evaluating, Monitoring and Explaining your AI Product
Evaluating, Monitoring and Explaining your AI Product
Sat, Sep 14, 6:00 PM - 7:30 PM UTC
Sep
14
Key Decisions in the product lifecycle
Key Decisions in the product lifecycle
Sat, Sep 14, 8:00 PM - 8:45 PM UTC
Sep
21
Keeping Abreast
Keeping Abreast
Sat, Sep 21, 5:00 PM - 5:45 PM UTC
Modules
Key Decision Making during the Lifecycle of Development
Key Decision Making during the Lifecycle of Development
1 Project
Bonus
Modules
Guest Talk : Upcoming AI startups and their Market Potential
Guest Talk : Upcoming AI startups and their Market Potential
1 Lesson
Guest Talk : Novel techniques for Data-Collection and Evaluation
Guest Talk : Novel techniques for Data-Collection and Evaluation
1 Lesson
Guest Talk : Non traditional AI applications and Parallel Opportunities
Guest Talk : Non traditional AI applications and Parallel Opportunities
1 Lesson
Guest Talk: Scope of Trust, Safety and Privacy issues in GenAI Applications
Guest Talk: Scope of Trust, Safety and Privacy issues in GenAI Applications
1 Lesson

5.0

(5 ratings)

What students are saying

Meet your instructor

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.

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