AI Product Management 🤖📲

Design and Build production-ready applications

Elevate your product management career. Through the course you’ll design a product strategy from value proposition to MVP, create a product roadmap and a pitch deck to communicate how to launch a go-to-market AI solution.

Online on-demand | In-person for teams | Exercises | Resources

Our virtual cohort based course is turning self-paced and on-demand! Join the waitlist now…

Want to know more?
Get our free Making AI Product Decisions report.

T&Cs apply.

🎬 RELEASING SOON

An online only course, self -paced and designed for you to learn anytime, anywhere.
Expect to spend 1.5 hours per week.

🧳 WHAT’S INCLUDED

3 on-demand sessions

PDF templates including AI journey mapping and product roadmaps

Bonus material including data collection methods and user research

✨ BONUS MATERIAL
As part of this course, you’d be able to view a range of resources online including glossary of terms, AI regulations and ceremony guides.

👥 FOR YOUR TEAM
Enrol your team and learn together. Contact us at courses@design3.io for more information.

  • “Very helpful to practice/teach innovation management.”

    ⭐️⭐️⭐️⭐️
    RESEARCHER

  • “Informative enough to understand how building product with AI needs a different approach and how that approach should be.”

    ⭐️⭐️⭐️⭐️⭐️
    PROUCT DESIGNER

  • “Good to learn how people is actually "doing" AI with practical examples.”

    ⭐️⭐️⭐️⭐️
    FOUNDER

  • “Thought provoking on how design thinking requirements remain true and AI augments into the process.”

    ⭐️⭐️⭐️⭐️
    HEAD OF DEPARTMENT

  • “Today's session offered a summary of the essential components and important considerations for developing an AI digital product, with a focus on the role of data.”

    ⭐️⭐️⭐️⭐️⭐️
    PRODUCT DESIGNER

This course is for you if…

🚀

You are an AI management consultant

AI management consultants supporting clients who are transitioning to creating AI solutions in their existing products or develop new products to put in the hands of their customers.

🏗

You lead Product teams

Product leaders looking to respond to executives who want AI in new or existing products to unlock competitive advantages.

💡

You are a founder

Founders building coded, low-code or no-code AI solutions to prepare for scale and demonstrate product-market fit with investors.

📲

You are a Service/UX designer looking to move into a PM role

Designers from researchers to UX and service designers looking to up-skill their understanding of human-centred AI and team dynamics.

Skills you will gain

✅ Develop an AI product strategy responding to customer and business pain points, needs, and identify product-market fit for responsible AI.

✅ Understand team roles, responsibilities, and processes to discover, design, and deliver a responsible AI solution.

✅ Use opportunity mapping to identify where responsible AI is needed in a new or existing product and create prototypes to test black box traps.

✅ Design ethical and sustainable product principles in AI solutions to support feasibility, desirability, compliance, costs, speed, time, and environmental trade-offs.

✅ Build a product roadmap incorporating customer and business insights, design and technology choices to position your responsible AI solution strategically.

✅ Know how to conduct bias assessments on data to mitigate compliance and regulation risks ensuring trust is built with business leaders and customers.

✅ Understand the application of AI model categories from real-world B2B and B2C case studies to facilitate interactive workshops and prototype AI solutions.

✅ Identify where continuous feedback loops are needed to navigate data volatility in AI model training and customer insights.

What’s included

🚀 3 on-demand sessions with lessons in each from foundations of data, UX of data to launching AI products

🛠️ PDF templates including AI journey mapping and product roadmaps

📈 Bonus material including data collection methods and user research templates

🌍 Watch anytime, anywhere access to the course content on any device

Course overview

  • Watch the first session on the introduction to AI and Design

  • The session showcases examples to help you identify whether a new or existing product benefits from an AI opportunity.

    • Dig deep into the evolution of traditional product management to the cutting-edge world of AI product management, understanding the tools needed to be successful.

    • Gain understanding of how to create a product strategy identifying whether a new or existing product benefits from AI opportunities to help customers and your business.

    • Delve into team roles and responsibilities from startups to large enterprises understanding how to discover and deliver a product strategy using an AI solution.

    • Unpack B2C and B2B AI product use cases understand how data and AI technical concepts have been deployed to meet the needs of customers and business leaders.

  • In this session you will develop an AI opportunity tree, understand how to test the opportunity, and create a high-level product roadmap. Demonstrate where you and your team will add value with an AI solution.

    • Use AI opportunity mapping with customer insights and market analysis to create top hypothesis to test value propositions and identify ideal customer

    • Review B2C and B2B projects and understand how to manage scoping decisions based on cost, time, compliance, and sustainability.

    • Delve into the secrets of trade-off making with build vs buy vs hybrid to identify the optimal tech purchases to support product-market fit

  • In the final session, design the human-centred AI experience using a design sprint to test with customers. Gather insight on improving adoption, reducing ethical bias, and develop sustainably to stack the odds in your favour before preparing to scale.

    • Use an AI Design Sprint™ to transition from concept to an AI prototype to test with target customers.

    • Navigate the Black Box of AI to understand the complexities of model building.

    • Delve into feedback loops to learn how to understand volatile data landscapes and usage of your AI solution from customers.

  • Use this session to ask question, get clarifications and get direct input from your tutor.

Meet your tutor, Tim Daines

Tim believes in today's fast-paced world, too much time and money is wasted on product idea meetings. To improve performance, leaders must simplify and accelerate the launch of new experiences, especially in a world where artificial intelligence and humans will co-exist with digital products.

Over 15 years, Tim has guided executives and teams to build responsible AI products across healthcare, life sciences, sustainability, and education. Through his design and product roles at Cambridge Consultants (Capgemini), QuantumBlack (AI by McKinsey&Co), Hitachi Vantara (Hitachi), Amazon (AWS), and high-growth startups, Tim has become an expert at simplifying and accelerating the launch of new digital experiences in today's fast-paced world.

With a focus on human-centered AI, Tim has delivered award-winning AI products and services for diabetes and medication adherence. He is passionate about bridging the gap between business, product, engineering, and data science to create harmonious customer experiences where artificial intelligence and humans can thrive together.

If you’re a business looking to up-skill your team on AI Product Management 

Please get in touch:

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Frequently Asked Questions

  • Once you’ve made a purchase, you should be able to access your course section. The course section will be updated with resources, templates etc will be made available 48 hours before the start of your course.

    We will send you an email updating you through out and can help with any questions you may have.

    The course will be available for you on the Design3 platform that you can access via any device using your log in details.

  • We have tried to accommodate for all major geographies. Please check the timezone before booking your seat and you will receive the calendar invites accordingly.

  • The lecture each week is 2 hours long and another 2 hours will be expected to complete all your exercises. All course materials and recordings of the lectures will be available for you to follow at your own pace during and after the course.

  • Once you access your course, you will be able to access all your resources (PDF) that you can view. Your templates that are part of the exercises are provided as PDF that you can download and add it to your Miro boards. Open a free Miro account here.

  • You can request a refund up to 12 days days before the course starts after that we are unable to refund the course. Keep in mind, you can also exchange the course for other Design3 memberships or course.

  • Certainly! After enrolment, you will receive an invoice for your course purchase to help you get reimbursement approval from your work.

    If you need any additional information, feel free to email us and we can supply you with these.

Still have questions? Drop us a note at courses@design3.io