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

Are these your struggles lately as a PM with AI in the mix:


😞 Struggling to justify AI decisions to stakeholders?

😞 Tired of ‘AI can do anything’ hype? 

😞 Feeling out of your depth with AI jargon?

😞 Crippled by messy, missing data?

😞 Butting heads with tech team on AI priorities?

😞 Worried about AI doing more harm than good? 

😞 Overwhelmed by new AI tools every week?

😞 Pressure to show AI’s worth? 

😞 Features spiraling out of control?

😞 Users ignoring your shiny AI tools?


We want to tell you that you don’t need to be an expert in AI concepts to build better, user-centric AI products and prove AI ROI to leadership.


For the first time ever, Deepa, an ML Engineer (ex- Klarna) and Avinash, a Product Management Leader (ex- Amazon) have come together to show how you can build AI products from the combined perspectives of an AI engineer and a PM, and how you can-


😁 Learn to translate AI models into clear business wins that get instant buy-in.

😁 Ground your roadmap in what’s real, so you’re building trust.

😁 Grasp just enough tech to lead confidently without needing a specialization in machine learning.

😁 Master practical ways to navigate data quality nightmares to ship AI that actually works.

😁 Use frameworks that align your vision with your tech team’s reality, so you’re building together, not apart.

😁 Learn to spot and fix ethical concerns and biases early, so your product is fair, trusted, and future-proof.

😁 Focus on the most stable and scalable AI Tools, so you’re building on solid ground, not trends.

😁 Craft metrics and stories that prove value fast, so your project gets the green light and keeps it.

😁 Learn to scope AI solutions that deliver impact without turning into a science experiment.

Design intuitive experiences that make AI feel like a helper, not a hurdle.


We’ve designed this 100% live, instructor-led, and interactive course to help you build essential skills to bridge communication gaps between business stakeholders and technical teams, translate business requirements into ML metrics, and guide the entire AI development lifecycle as one cohesive team.


Through one real-world-inspired case study, follow an end-to-end AI product journey from discovery to deployment, experiencing how strategy, product decisions, and technical realities unfold, just like in real life. Every single session is taught live with hands-on activities and discussions, ensuring no recordings or passive videos, only active learning to sharpen your AI product management skills.


Whether you're managing your first ML project or looking to enhance your AI product leadership, you'll gain actionable strategies to navigate the unique challenges of building successful AI products.


If this resonates with you, get started by downloading the free pre-course material towards the end of this page. Hope you enjoy tables as much as we do!!


If you like that, then you’re gonna love the 100% live, interactive, 4-week cohort with hands-on projects.


We don’t want to mislead anyone, and be clear that this course isn’t for you if:


🚫 You’re a beginner with no product management background.

We assume a basic understanding of product management concepts, even if you’re new to AI.


🚫 You’re a leader seeking only high-level AI strategy without execution.

While we cover strategy, this course emphasizes actionable skills to ship AI products, not just boardroom discussions. If you’re only looking for a 30,000-foot view without getting into the details, this might not meet your needs.


🚫 You’re not able to commit the time for live sessions.

We have made the course highly interactive and while recordings are available, you will benefit more as you will work with your team on a singular case study throughout the course. We would not recommend missing more than 1 live session.

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

    Apr

    26

    Session 1

    Sat 4/263:00 PM—5:00 PM (UTC)

    Apr

    27

    Session 2

    Sun 4/273:00 PM—5:00 PM (UTC)

Week 2

Jun 23—Jun 29

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

    4 items

    May

    3

    Session 3

    Sat 5/33:00 PM—5:00 PM (UTC)

    May

    4

    Session 4

    Sun 5/43:00 PM—5:00 PM (UTC)

Week 3

Jun 30—Jul 6

    Demystifying AI/ML – From Fundamentals to Deployment

    4 items

    May

    10

    Session 5

    Sat 5/103:00 PM—5:00 PM (UTC)

    May

    11

    Session 6

    Sun 5/113:00 PM—5:00 PM (UTC)

Week 4

Jul 7—Jul 13

    Scaling, Evolving & Safeguarding AI Products

    4 items

Week 5

Jul 14—Jul 20

    May

    17

    Session 7

    Sat 5/173:00 PM—5:00 PM (UTC)

    May

    18

    Session 8

    Sun 5/183:00 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 architected and delivered scalable fintech solutions, gaining invaluable experience in translating business needs into robust technical architectures.

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

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

$790

Dates

June 21—July 20, 2025

Payment Deadline

June 8, 2025

Cohort 2

$790

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

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

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

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

$790

Dates

June 21—July 20, 2025

Payment Deadline

June 8, 2025

Cohort 2

$790

Dates

Sep 6—28, 2025

Payment Deadline

Aug 23, 2025
Get reimbursed

$790

4 - 5 Weeks