AI product designer cohort
Design the next generation of AI-powered digital products. Learn how product thinking, UX design, and intelligent systems come together to create and prototype smart product experiences.
Why AI Product Design Is Important
Artificial intelligence introduces new possibilities in product development—but also new challenges. Designers must consider how AI behaves, how users understand intelligent systems, and how to build trust in automated decisions. Traditional design approaches are often insufficient. This cohort equips participants with the frameworks needed to think about products where AI is an integrated capability, not an isolated feature.
AI Capabilities & Product Design
Understand how AI capabilities shape and constrain design decisions in real products.
User Interactions with Intelligent Systems
Design intuitive experiences when outputs are probabilistic and behavior is non-deterministic.
Workflows with Machine Intelligence
Build workflows that leverage AI meaningfully, handling edge cases and uncertainty gracefully.
What you will learn
Understanding AI-enabled products
Participants begin by exploring how AI-powered products differ from traditional software systems.
Topics Include
- How AI systems operate within products
- Common patterns in AI-driven applications
- Limitations and challenges of intelligent systems
Identifying product opportunities
Participants learn how to evaluate where AI can meaningfully improve product experiences.
Topics Include
- Problem identification
- Evaluating feasibility
- Understanding user needs
Designing AI interaction workflows
Participants explore how users interact with AI systems and how to design intuitive workflows.
Topics Include
- Inputs and outputs in AI-driven systems
- Feedback loops
- Handling uncertainty and edge cases
Prototyping AI features
Participants learn how to translate ideas into visual and interactive prototypes that demonstrate AI-enabled product concepts.
Topics Include
- Translating concepts into prototypes
- Communicating ideas clearly through visuals
- Testing and validating design approaches
Product Thinking for Intelligent Systems
Participants explore how product strategy changes when AI capabilities are introduced.
Topics Include
- Evaluating product impact
- Designing responsible AI experiences
- Iterating on product ideas
Cohort curriculum
Week 1
The AI mindset mhift
Transitioning from pixel-perfect to system-perfect thinking.
Week 2
Intelligence mapping
Mapping user needs to specific AI capabilities and model types.
Week 3
Generative workflows
Designing multi-step agentic flows and feedback triggers.
Week 4
The feedback loop
User testing for uncertainty and designing correction mechanisms.
Week 5
Prototyping mastery
Using AI tools to build AI interfaces. Advanced Figma and Framer.
Week 6
The final showcase
Pitching your AI-native product to a panel of expert mentors.
Project work
Design and prototype an AI-enabled product concept. You'll apply the technical constraints and interaction patterns learned throughout the cohort to a high-fidelity capstone project.
Productivity
Next-gen task management
Assistants
Context-aware knowledge base
Recommendation
Predictive discovery engines
Automation
Smart workflow orchestration
Mentorship
The cohort is guided by mentors with real-world experience in product development and design, ensuring participants receive continuous support and direction throughout their learning journey.
- Clarifying complex concepts
- Providing feedback on ideas and prototypes
- Sharing industry perspectives
15
Participants only
You won’t get lostin the crowd.
Participants are encouraged to actively contribute to discussions and peer learning.
- Meaningful mentor interaction
- Detailed feedback on projects
- Collaborative discussions
Who this cohort is for
This cohort is suitable for individuals who want to understand how AI influences product development.
Product Designers
Establish a solid base in AI design and learn to incorporate smart features into user experiences.
UX Designers
Discover how AI influences user behavior, interaction styles, and choices in digital products.
Students & Aspiring Professionals
Begin your path into product and AI careers with hands-on experience and structured learning.
Product Managers
Learn to scope, plan, and implement AI features while meeting both business and user needs.
What participants gain
A hands-on, outcome-driven cohort designed to build real AI product design skills. Participants focus on learning by doing — combining concepts, workflows, and real-world application.
Participants will also complete a project that demonstrates their learning during the program.
AI product design foundations
Build a strong understanding of core concepts behind AI-powered products and systems.
AI interaction workflows
Design intelligent user flows and interactions tailored for AI-driven experiences.
Product thinking & prototyping
Practice developing product ideas and turning them into structured prototypes.
Industry perspective
Gain exposure to real-world applications, trends, and how AI products are built in practice.
The Admission Process
Because each cohort is limited to 15 participants, admission follows a short structured process.
Application
Applicants submit a brief form describing their background and motivation for joining the cohort.
Evaluation
Applicants complete a short task designed to understand their thinking process and interest in the topic.
Mentor Interaction
Shortlisted applicants may have a brief conversation with a mentor to assess fit for the cohort. This process ensures that participants are prepared to engage actively in the program.
Apply to Join a Cohort
Applications are reviewed on a rolling basis until seats are filled. If you are interested in learning how intelligent digital products are designed and built, this cohort provides a structured and mentorship-driven path.
Start Your Application