.jpg&w=1536&q=75)
Develop judgement in building real-world AI products
5.0 (5)
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)
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
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
01
Current Product Managers pivoting to building AI powered products
02
Mid-career and Lead 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?
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 projects to apply learning
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.
Develop judgement in building real-world AI products
Course syllabus
Week 1
Nov
23
History of AI Development - Key Breakthroughs
Nov
23
Preparing for an AI Powered Product or Feature
Week 2
Nov
30
Evaluating, Monitoring and Explaining your AI Product
Nov
30
Key Decisions in the Product Lifecycle
Week 3
Dec
7
Keeping Abreast
Post-course
Key Decision Making during the Lifecycle of Development
Bonus
Guest Talk : Upcoming AI startups and their Market Potential
Guest Talk : 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
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.
Be the first to know about upcoming cohorts
Develop judgement in building real-world AI products
Course schedule
4-5 hours per week
Saturdays
We will take Saturday day-time PST for live sessions and project discussions.
All live lectures will allow for QnA.
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
Be the first to know about upcoming cohorts