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Mastering AI Product Strategy: From Ideas to MVP

12h 21s
English
Paid

Learn how to shape useful AI products without writing code. This course gives you clear steps to plan, design, and test AI ideas that solve real user problems.

Why This Course

AI now shapes how teams build products. But many lessons on AI feel too technical or too abstract. This course gives you plain guidance that you can use right away.

It is made for product managers and designers who want to bring AI into their work with clear plans, simple tools, and hands-on practice.

What You Will Learn

  1. Spot solid AI use cases that help your users and support your business.
  2. Design clear and helpful AI interactions.
  3. Build quick AI prototypes with no-code tools.
  4. Track results and avoid issues like bias, weak answers, and low trust.

Course Format

You learn from experts with real AI product experience at Amazon, Google, and Uber. They cut through noise and show you methods that work in real teams.

What You Get

  1. Four live online workshops with Polly and Rupa, known for their work on Reforge and Maven.
  2. A video guide to no-code tools so you can start fast.

By the End

  1. A clear process to plan, design, and launch AI ideas.
  2. Comfort using no-code tools to test your ideas fast.
  3. Skills to shape AI products and interfaces without a technical role.

AI is not only for engineers. You can use it to build helpful products with simple tools and a clear plan.

Join the course and start building with AI.

Additional

Use the videos together with the text materials, which you can find in the course resources.

About the Authors

Polly Allen

Polly Allen thumbnail

About Polly Allen

Polly Allen has more than 20 years of experience in software development. She has built and led engineering teams and guided cross‑functional groups of scientists and engineers.

As Principal Product Manager at Alexa AI (Amazon), she led projects where science and tech met. She worked on tools that improved how people interact with voice systems.

Work in NLP

Polly focuses on natural language processing. Her work covers search, navigation, text understanding, and text generation.

In 2020, she led the team that built and shipped Alexa’s first automatic web content summaries. These summaries used transformer models similar to the models behind ChatGPT.

Advocacy and Leadership

Polly works in both product management and machine learning. She supports diversity, inclusion, and equal access in tech. She aims to make AI easy for more people to use and understand.

Investing and Speaking

She is an active angel investor and a former corporate director. She has advised startups and spoken at events on product management, ethics, and DEI in AI.

Education

Polly holds a master’s degree in software engineering from MIT and the University of Victoria. She also earned an MBA from the University of British Columbia.

Rupa Chaturvedi

Rupa Chaturvedi thumbnail

About Rupa Chaturvedi

Rupa Chaturvedi is a product design expert with more than 15 years of experience in the tech industry. She has held key roles at Amazon (Alexa AI), Google, Uber, and several AI-focused startups.

Work and Projects

Rupa is the founder of the Human Centered AI Institute. She creates and leads corporate training and coaching programs that help teams design and build AI products.

She has shaped consumer products that combine AR, AI, ML, and computer vision. She helped build AR tools and conversational AI systems for Amazon and Uber.

Education

Rupa holds a master’s degree in product design from Stanford University. She also completed the Creative Leadership program at THNK in Amsterdam.

Teaching and Mentoring

She holds more than 18 patents in AI design. She teaches UX design for AI applications at Stanford. She also mentors and invests in the food‑tech sector.

Vision

Rupa focuses on the human side of technology. She supports others through her work, teaching, and mentorship.

Watch Online 10 lessons

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#1: 002 Tracing the History of Conversational AI
All Course Lessons (10)
#Lesson TitleDurationAccess
1
002 Tracing the History of Conversational AI Demo
10:51
2
004 Large Language Models Deep Dive Capabilities and Impact
13:59
3
009 Live workshop AI Use Case Evaluation
01:14:00
4
014 Live workshop AI User Experience Design front view
01:45:42
5
015 Live workshop AI User Experience Design slide view
01:45:42
6
022 Live workshop Data Strategy & Planning slide view
01:23:10
7
024 Live workshop Data Strategy & Planning front view
01:23:10
8
032 Live session AI Prototyping and Evaluation Slide View
01:38:25
9
033 Live session AI Prototyping and Evaluation General View
01:38:25
10
034 Optional Office Hours with Rupa & Polly
46:57
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