Building AI Products: Bridging Gaps Between Product Vision and Technical Reality
4 - 5 Weeks
·Cohort-based Course
Build higher-quality AI products! Live course for PMs & Engineers to apply proven frameworks & bridge product-tech gaps.
Building AI Products: Bridging Gaps Between Product Vision and Technical Reality
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
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.
Building AI Products: Bridging Gaps Between Product Vision and Technical Reality
Course syllabus
Week 1
Laying the Foundation: Discovery, Research & Opportunity Mapping in AI Products
Jun
21
Session 1
Jun
22
Session 2
Week 2
Strategizing AI Products: Vision, Requirements, Roadmap, and Go-to-Market
Jun
28
Session 3
Jun
29
Session 4
Week 3
Demystifying AI/ML – From Fundamentals to Deployment
Jul
5
Session 5
Jul
6
Session 6
Week 4
Scaling, Evolving & Safeguarding AI Products
Week 5
Jul
19
Session 7
Jul
20
Session 8
Client Testimonials
Product Leader from Walmart
Lead Developer from FAANG
Meet your instructors
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 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)
Join an upcoming cohort
Building AI Products: Bridging Gaps Between Product Vision and Technical Reality
Cohort 1
$988
Dates
Payment Deadline
Cohort 2
$988
Dates
Payment Deadline
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
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
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
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Join an upcoming cohort
Building AI Products: Bridging Gaps Between Product Vision and Technical Reality
Cohort 1
$988
Dates
Payment Deadline
Cohort 2
$988
Dates
Payment Deadline
$988
4 - 5 Weeks