CF

Mastering AI Product Strategy: From Ideas to MVP

12h 21s
English
Paid

Mastering AI Product Strategy: From Ideas to MVP is a 10-lesson 12 hours self-paced course by Polly Allen, Rupa Chaturvedi. Learn how to shape useful AI products without writing code.

Course facts

Lessons
10
Duration
12 hours
Level
All levels
Language
English
Updated
Instructor
Polly Allen, Rupa Chaturvedi
Price
Premium

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.

Who teaches Mastering AI Product Strategy: From Ideas to MVP?

Polly Allen

Polly Allen thumbnail

Polly Allen is a US AI product strategist and educator focused on the product-management craft for AI initiatives — particularly the discipline of taking AI ideas through to shipped MVPs in real product organisations.

Her CourseFlix listing carries Mastering AI Product Strategy — From Ideas to MVP — a structured treatment of the AI-product-management discipline: opportunity identification, feasibility assessment, the prototype-to-MVP arc, and the cross-functional patterns for shipping AI features in real product organisations.

Material is paid and aimed at product managers and engineering leads responsible for AI product roadmaps. For broader content, see CourseFlix's AI for Business & Product category page.

Rupa Chaturvedi

Rupa Chaturvedi thumbnail

Rupa Chaturvedi is an AI product strategist and educator focused on the product-management craft for AI initiatives. She is a co-instructor on Mastering AI Product Strategy alongside Polly Allen.

Her CourseFlix listing carries Mastering AI Product Strategy — From Ideas to MVP — a structured treatment of the AI-product-management discipline: opportunity identification, feasibility assessment, the prototype-to-MVP arc, and the cross-functional patterns for shipping AI features in real product organisations.

Material is paid and aimed at product managers and engineering leads responsible for AI product roadmaps. For broader content, see CourseFlix's AI for Business & Product category page.

What lessons are included in Mastering AI Product Strategy: From Ideas to MVP?

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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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Frequently asked questions

What are the prerequisites for this course?
The course is designed for product managers and designers who want to integrate AI into their work without needing a technical background. There are no specific prerequisites in terms of coding skills or prior AI knowledge, but familiarity with product development processes would be beneficial.
What will I build during this course?
Participants will work on building quick AI prototypes using no-code tools. The course includes live workshops where you will engage in AI use case evaluation, design AI user experiences, and plan data strategies. By the end of the course, you will have a clear process to plan, design, and launch AI ideas.
Who is the target audience for this course?
The course is intended for product managers and designers looking to incorporate AI into their projects without needing advanced technical skills. It is suitable for those who want to understand AI applications in product strategy and develop new skills in using no-code tools for AI prototyping.
How does this course differ from more technical AI courses?
Unlike technical AI courses that focus on coding and algorithms, this course emphasizes practical application and strategic planning. It covers identifying AI use cases, designing AI interactions, and building prototypes with no-code tools, making it accessible to non-engineers.
What platforms or tools will be used in the course?
The course includes a video guide to no-code tools, enabling participants to build AI prototypes quickly. While specific tools are not named, the focus is on easy-to-use platforms that allow for rapid testing of AI ideas without programming.
What topics are not covered in this course?
The course does not cover technical programming or deep AI algorithm development. Instead, it focuses on the strategic and practical aspects of AI product development, such as use case evaluation, user experience design, and data strategy.
How much time should I expect to commit to this course?
The course includes four live online workshops and optional office hours, providing ample opportunity for hands-on practice and interaction with instructors. Although a specific runtime is not listed, the nature of the live sessions suggests a significant time commitment for active participation.