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Become an AI Product Designer

4.8 (41)

·

4 Weeks

·

Cohort-based Course

Learn how to design AI-powered products and experiences to set yourself up for a successful career in AI.

Guest speakers from

ElevenLabs
Anthropic
Meta
Atlassian
Replit

Course overview

Build AI-Powered Products with Confidence

Why Should You Take This Course?

If you’re a designer OR product builder aiming to break into the AI industry or if your team is starting to build AI products and you feel unprepared, this course is for you. By the end, you’ll feel confident and ready to transition into an AI role, armed with the knowledge and skills to thrive. Previous students reported having significant improvement in both AI Design knowledge, confidence and motivation to drive product building in this space since taking the course.


Why Should You Learn from Me?

With a decade of experience in building AI and AR/VR products, with over 5 years focused on AI-first products, I bring practical insights and skills you won’t find elsewhere. My experience includes leading world-class AI design teams and developing cutting-edge AI products.


Course Overview

Designed for busy professionals:

• Total 4 weeks, 4-5 hours per week commitment

• Recorded Sessions: Available anytime

• Discussion Boards: Participate asynchronously

• Support: Dedicated support and 1:1 guidance

• Resources: Ongoing AI learning materials

• Live Q&As and Discussions: Hands-on learning


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What You’ll Learn:


Week #1 is focused on learning AI Fundamentals. Gain all the key knowledge necessary to understand the technology and how to work with it and in it as a designer.


Week #2 & #3 is focused on AI Design Patterns. Deep dive on existing patterns in the industry, where the current patterns fail, identify new opportunities and how to innovate by creating net new patterns. Learn to work with System prompts, and prototype your AI products using no-code AI tools.


Week #4 is focused on building an AI career with confidence. Learn to take your AI projects and career to the next level, and how to standout in industry.


Mini-projects across the 4 weeks will ladder up to helping you craft the building blocks of an AI Powered product. Many students choose to continue working on these concepts even after the class wraps up.


If you struggle with accountability, and want to work on AI product you're excited to build. This is an excellent opportunity to do so!


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What the course does NOT cover:


My goal is to teach you everything I know within 4 weeks about designing good ai products. By the end of this course, you will be more equipped to build great products compared to existing designers in this space. However there are 2 things this course will not be able to cover due to the limited time:


• Advanced prototyping (instead we will cover no-code tools that will help you get a proof of concept running)



• Portfolio ready project (You might be able to get decent start through this course, that you can feature on your portfolio after investing more time beyond the course)

Who is this course for

01

Product Designers looking to join AI companies or recently switched but concerned about their skill gap

02

Managers, PMs, Engineers and other Leaders new to AI teams, looking to expand their expertise to build AI-powered products and confidently

03

Other technical professionals interested in learning how to build AI powered products.

What you’ll get out of this course

Mastery of AI Fundamentals

  • Understand types of AI models and how to leverage them for your design project
  • Key AI terminologies (NLP, CV, GANs, etc) you'll need to know as you design
  • Emerging product types and potentials
  • Limitations and future potential of AI products
  • AI Design Principles and more.

Expertise in AI Design Patterns

  • Understand End-to-end design process for AI products and how it differs from traditional design
  • Current design challenges and opportunities with AI products
  • Case studies and critique existing AI product interfaces


Design & build your concept

Design an E2E concept (FIGMA for designers, or AI tools for non-designers)

Build a rough MVP for that concept with no-code tools


Prepare for a Career in AI Design

  • What do Design Managers look for in Product Designers looking to join AI teams
  • What to expert when joining / starting an AI Design team
  • Tips for interviewing with AI-design teams
  • Transforming your strengths to enter the AI field
  • Learn directly from industry guests

Practice your AI skills

• Mini-Projects/Brainstorms: 2 outputs to practice course content

• Discussion Sessions / Q&As: 3 live interactions for in-depth discussions

• Case Studies: Critique existing experiences together

Get 1:1 Support and Guidance from Maheen

  • Feeling stuck? Have additional questions? I'll be available throughout the course to help you get the most out of this course.

Join a Community of AI Designers and Stay Inspired

  • Build a network of peers in the AI design field and stay inspired with key resources, influencers, and companies to follow.

This course includes

8 interactive live sessions

Lifetime access to course materials

27 in-depth lessons

Direct access to instructor

6 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

Feb 5—Feb 9

    Introduction to AI Design [Covered in Wednesday Class]

    • Feb

      6

      Course Kickoff

      Thu 2/61:30 AM—3:00 AM (UTC)
    4 more items

    AI & ML Fundamentals

    3 items

    Brainstorm Your AI Product Concept [Covered in Saturdays class]

    • Feb

      8

      Live Workshop

      Sat 2/85:00 PM—7:00 PM (UTC)
    1 more item

Week 2

Feb 10—Feb 16

    Project: AI Product One Pager

    • Feb

      13

      [Optional] Project Crit

      Thu 2/131:30 AM—3:00 AM (UTC)
      Optional
    1 more item

    Established and Emerging AI Design Patterns

    5 items

    New Design Patterns for AI Products [Covered in Saturdays class]

    • Feb

      15

      Live Session + Q&A

      Sat 2/155:00 PM—7:00 PM (UTC)
    3 more items

Week 3

Feb 17—Feb 23

    Project: AI Patterns

    • Feb

      20

      [Optional] Project Crit

      Thu 2/201:30 AM—3:00 AM (UTC)
      Optional
    1 more item

    Refining AI Products

    5 items

    Building a Career in AI Design [Covered in Saturdays class]

    • Feb

      22

      Live Session + Industry Panel

      Sat 2/225:00 PM—7:00 PM (UTC)
    5 more items

Week 4

Feb 24—Mar 2

    Project: Pitching your AI Product

    • Feb

      27

      [Optional] Project Crit

      Thu 2/271:30 AM—3:00 AM (UTC)

    Staying Current in the AI Industry

    3 items

    Final Project Showcase

    • Mar

      1

      Project Showcase + Final Q&A

      Sat 3/15:00 PM—7:00 PM (UTC)
    2 more items

4.8 (41 ratings)

What students are saying

What people are saying

        Maheen is an immensely talented designer who streamlines simplicity and delight in AI-driven product experiences as magical moments through deeply understanding the people she is designing for and clear focus of core AI capabilities. I’ve learned so much from Maheen over the years, and her valuable depth of knowledge continues to resonate!
Marcy Regalado

Marcy Regalado

Design Manager at Pulley, former Design Lead at Meta
        Maheen is an exceptional Product Design Leader, and this course is a fantastic resource for anyone looking to break into the AI field.  If you have the opportunity to learn from Maheen, I highly recommend it.
Chavez Procope

Chavez Procope

Product Design Lead @ Cash App

Meet your instructor

Maheen Sohail

Maheen Sohail

Design Lead Manager with a focus on creating 0-1 innovative products. Maheen's work encompasses various emerging technologies, including Artificial Intelligence, Augmented Reality and Virtual Reality.


She is passionate about diversity, making emerging tech accessible. In her free time, she enjoys surfing and experimenting with different storytelling techniques, such as film, audio, and AI art.

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Course schedule

4-5 hours per week

  • Self-Paced

    2 hours per week

    Do this at your own time:

    • Read/Watch course content
    • Put learnings into practice through short hands-on projects
  • Wednesdays

    5:30 PM PST / 8:30 PM EST

    Optional Office hours

  • Saturdays

    9:00 AM PST / 12:00 PM EST

    • Content Overview
    • Discussions
    • Brainstorms
    • Q&A


    NOTE: If you're unable to make it to above sessions, you can watch videos and engage with content at your own pace at a later time.

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

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