Building AI Products: Bridging Gaps Between Product Vision and Technical Reality

New
·

4 - 5 Weeks

·

Cohort-based Course

Build higher-quality AI products! Live course for PMs & Engineers to apply proven frameworks & bridge product-tech gaps.

Previously at Klarna, Amazon

Amazon
Klarna
MIT research group
KTH Royal Institute of Technology
BYU

Course overview

Leading Cross-Functional AI Product Development

Common Challenges Faced by PMs in AI Projects


1- Justifying AI decisions and demonstrating ROI to stakeholders.


2- Navigating the hype versus the real capabilities of AI.


3- Communicating across teams without deep technical knowledge.


4- Dealing with inconsistent, missing, or messy data.


5- Aligning priorities and expectations between product and engineering.


6- Addressing ethical risks and bias in AI systems.


7- Keeping up with rapidly evolving tools, frameworks, and best practices.


If these are your challenges lately then this course is for you. It’s a hands-on, live, interactive course designed for Engineers and technical Product Managers. Perfect for those with a strong familiarity with technical development and who enjoy building prototypes.


What You'll Learn


1- Translate AI concepts into clear business value propositions.


2- Ground product roadmaps in realistic technical constraints and opportunities.


3- Communicate effectively with engineering teams—no deep ML expertise required.


4- Apply practical frameworks to align product vision with technical execution.


5- Navigate messy or incomplete data to build functional, user-centric solutions.


6- Identify and address ethical and bias-related risks early in development.


7- Select scalable AI tools that support long-term product growth.


8- Craft metrics and narratives that demonstrate AI impact to stakeholders.


9- Build prototypes with no-code tools like Lovable to quickly test and validate ideas.


Course Format


- Duration: 4-5 weeks

- Live, instructor-led sessions with interactive discussions

- Real-world case study following an AI product from discovery to deployment

- Hands-on activities to apply frameworks and concepts

- Access to a community of peers for collaboration and support


Why This Course is Unique


For the first time ever, a Product Manager and an Engineer are joining forces to teach AI product management. This unique collaboration combines product strategy with technical know-how, giving you the tools to not only understand AI’s potential but also execute successful AI projects from start to finish.


Through this course, you’ll have access to a dedicated channel where you can ask questions, share challenges, and connect with peers and instructors. After each live session, you’ll receive a recording to review at your own pace, ensuring you never miss important details.


You’ll walk away with a deep understanding of how to scope, prioritize, and launch AI products that drive tangible results and create value across teams.


Who this course is not for:


If you are someone who is expecting to do plenty of hands-on coding.

Who is this course for

01

Product Managers new to AI or looking to deepen their AI skills to lead AI Products and collaborate effectively with AI tech teams

02

AI Engineers, Software Engineers and Engineering Leaders looking to collaborate effectively with Product leads to drive successful outcomes

03

Program, Project, Strategy, Marketing, UX Design/Research and Business Leaders seeking an understanding of how to bring AI Products to mark

What you’ll get out of this course

Introductions & Case Study Kickoff

How to set learning intentions and align on goals so you can collaborate meaningfully in the cohort. You'll leave with clarity on the case study and your learning journey.

Communicate AI product value to leadership and cross-functional teams

You’ll develop the skills to translate complex AI outcomes into clear business value, ensuring stakeholder alignment and securing the support you need to move projects forward.

Master iterating on AI products: gather feedback, improve, and scale

How to frame and prioritize AI use cases so you can discover viable, high-impact product ideas. You'll leave with a prioritized list and prototyping prompts.

Learn core ML/AI Foundational concepts and know when to apply them in real product scenarios.

Learn AI with clear, jargon-free explanations from Deepa, an ML Engineer with over 8 years of experience. You’ll master foundational concepts so you can make informed decisions and speak the language of your tech team.


Understand where AI can be leveraged effectively and where it won’t help

Learn to identify use cases where AI can drive real value and spot scenarios where it’s overkill. Armed with this clarity, you’ll make smarter decisions, avoid costly missteps, and build products that solve problems without creating new ones, like bias or user distrust.


Collaborate seamlessly with data scientists and engineers to build winning AI products

Foster true collaboration with your technical teams, ensuring your product vision aligns with their realities. You’ll gain frameworks to bridge the gap between product goals and technical constraints, enabling you to ship AI products faster and more effectively.

Navigate ethical and regulatory challenges in AI

Tackle the ethical minefield of AI with confidence by learning to identify and address issues like bias, fairness, and privacy concerns before they derail your product; keeping your users safe and your company out of hot water.

Leverage the best AI tools to enhance productivity as part of daily workflows

Learn to evaluate the right technologies for every stage of product development. Whether it’s choosing the best LLM for a chatbot or a vectorization tool for search functionality, you’ll build a toolkit that saves time, cuts costs, and delivers results tailored to your goals.


Design realistic and relevant AI timelines to meet business objectives

You’ll learn to account for AI’s unique challenges, like data prep, model training, and iteration cycles, so you can deliver on time without compromising quality or over-promising.

Leverage Gen AI Tools to increase productivity

Among the sea of Gen AI Tools, use the right ones that can drastically improve your productivity as a product manager

This course includes

8 interactive live sessions

Lifetime access to course materials

16 in-depth lessons

Direct access to instructor

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

Week 1

Jun 21—Jun 22

    Laying the Foundation: Discovery, Research & Opportunity Mapping in AI Products

    4 items

    Jun

    21

    Session 1

    Sat 6/213:00 PM—5:00 PM (UTC)

    Jun

    22

    Session 2

    Sun 6/223:00 PM—5:00 PM (UTC)

Week 2

Jun 23—Jun 29

    Strategizing AI Products: Vision, Requirements, Roadmap, and Go-to-Market

    4 items

    Jun

    28

    Session 3

    Sat 6/283:00 PM—5:00 PM (UTC)

    Jun

    29

    Session 4

    Sun 6/293:00 PM—5:00 PM (UTC)

Week 3

Jun 30—Jul 6

    Demystifying AI/ML – From Fundamentals to Deployment

    4 items

    Jul

    5

    Session 5

    Sat 7/53:00 PM—5:00 PM (UTC)

    Jul

    6

    Session 6

    Sun 7/63:00 PM—5:00 PM (UTC)

Week 4

Jul 7—Jul 13

    Scaling, Evolving & Safeguarding AI Products

    4 items

Week 5

Jul 14—Jul 20

    Jul

    19

    Session 7

    Sat 7/193:00 PM—5:00 PM (UTC)

    Jul

    20

    Session 8

    Sun 7/203:00 PM—5:00 PM (UTC)

Client Testimonials

        Avinash - I sought mentorship to gain clarity in my career, and your guidance has been instrumental. Our collaboration, which involved exploring various preparation techniques, enhanced my organizational skills and confidence. Your positive outlook inspired resilience, and your emphasis on constructive feedback helped me learn quickly.
Product Leader from Walmart

Product Leader from Walmart

        Excellent session! Deepa is able to convey very complex topics simply. I think the sweet spot for a better learning experience is participation which has been highly encouraged by Deepa. 
Lead Developer from FAANG

Lead Developer from FAANG

Meet your instructors

Deepa Krishnamurthy

Deepa Krishnamurthy

Deepa Krishnamurthy brings over 8 years of hands-on experience in Machine Learning, Data Science, and Analytics. She's passionate about empowering Product Managers and leaders to navigate the complexities of building successful AI products.


Key Experiences & Expertise:

1- At Klarna, she delivered scalable fintech solutions, gaining invaluable experience in translating business needs into robust technical solutions.

2- She has worked at a fast-paced Silicon Valley startup, where she spearheaded the development and deployment of cutting-edge Machine Learning models. She understands the unique challenges and opportunities in a high-growth, technology-driven setting.

3- She successfully led a healthtech idea from a hackathon to securing EU Grants.

4- With a 4.81/5 rating, Deepa has successfully conducted Live Hands-on cohorts for 600+ students in MIT's Applied Data Science Program.


Education: Master's in Machine Learning from KTH Royal Institute of Technology, Sweden

Avinash Mahalingam

Avinash Mahalingam

Avinash Mahalingam brings over 14 years of strategic product management experience across diverse global industries in USA, Canada and India, now leading AI platform innovation at a top Canadian bank and earlier led Product Initiatives at Amazon. He's passionate about empowering product professionals with practical insights gained from building and scaling successful products.


Key Experiences & Expertise:

1- Currently leading AI platform product development for an internal developer platform at a major Canadian bank, offering first-hand exposure to the intricacies of building and scaling AI-powered products.

2- At Amazon Freight, Avinash spearheaded the product strategy and launch of 4 0-to-1 products in billing and payments, demonstrating a proven ability to navigate the complete product lifecycle from inception to market.

His leadership at Amazon drove tangible improvements, including a billing page that significantly reduced payment processing time and achieving over 70% adoption for online payments.

3- A highly-rated mentor (4.9/5) who has guided 50+ product professionals 1:1 on career growth and skill enhancement, bringing a wealth of experience in nurturing product careers.

4- He co-led product management courses for 60+ individuals in live cohorts.


Education:

  • B.Tech in Production Engineering from NIT Trichy
  • MBA from the Marriott School of Management (BYU, USA)
A pattern of wavy dots

Join an upcoming cohort

Building AI Products: Bridging Gaps Between Product Vision and Technical Reality

Cohort 1

$988

Dates

June 21—July 20, 2025

Payment Deadline

June 8, 2025

Cohort 2

$988

Dates

Sep 6—28, 2025

Payment Deadline

Aug 23, 2025
Get reimbursed

Course schedule

16 hours

  • June 21 - July 20, 2025

    11 am EST to 1 pm EST on Sat & Sun

    If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Free resource

Applying Key AI concepts as a Product Manager

Get a glimpse into how you will be applying key AI concepts as a product manager as part of the course

Download the free resource

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

Stay in the loop

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A pattern of wavy dots

Join an upcoming cohort

Building AI Products: Bridging Gaps Between Product Vision and Technical Reality

Cohort 1

$988

Dates

June 21—July 20, 2025

Payment Deadline

June 8, 2025

Cohort 2

$988

Dates

Sep 6—28, 2025

Payment Deadline

Aug 23, 2025
Get reimbursed

$988

4 - 5 Weeks