AI IN
PRODUCT DESIGN
Move beyond isolated prompting and one-off AI experiments. Learn how to connect AI with research data, Figma, design systems, design tokens, generative UI tools, and emerging multi-agent workflows.
What is this course
A SYSTEMIC UPGRADE
You already know product design.
Now learn how AI changes the way it works.
This course is designed for product designers who want to use AI without losing design intent, systemic consistency, user trust, or craft.
You will learn how to integrate AI into the complete product design process—from research and early prototyping to design systems, feedback loops, and production-ready interfaces.
- 01
CONNECT YOUR WORKFLOW
Connect AI to real design tools, research data, design systems, and product context using MCP-powered workflows.
- 02
PROTOTYPE AND ITERATE
Use generative UI tools to turn ideas into wireframes and interactive prototypes while maintaining control over the design direction.
- 03
DESIGN AI EXPERIENCES
Build interfaces that communicate uncertainty, support user trust, collect meaningful feedback, and include appropriate fallback mechanisms.
Who is this for
BUILT FOR DESIGNERS
WHO WANT TO STAY RELEVANT
Product Designers
Who want to integrate AI into real product design workflows rather than use disconnected tools for occasional tasks.
UX/UI Designers
Who want to prototype faster, explore more interface variations, and preserve consistency across AI-generated outputs.
UX Researchers
Who want to connect AI with research repositories, synthesize qualitative data, and generate evidence-based personas.
Design Leads and Managers
Who want to use design tokens, Figma MCP, and automation to maintain consistency and improve design-to-code parity.
Product Teams
Who are preparing to design AI-native products, agentic experiences, multimodal interfaces, and systems.
Curriculum
EIGHT SKILLS.
ONE MONTH.
- 01
ADVANCED PROMPT ENGINEERING & MCP FUNDAMENTALS
- 02
GENERATIVE UI PROTOTYPING & CLAUDE DESIGN
- 03
DESIGN TOKENS & FIGMA MCP SETUP
- 04
AI-DRIVEN DESIGN SYSTEMS
- 05
UX RESEARCH, PERSONA SYNTHESIS & CONNECTED DATA
- 06
TRUST, FEEDBACK LOOPS & COMPLIANCE
- 07
DESIGNING FOR INTENT, UNCERTAINTY & PROBABILISTIC UI
- 08
EMERGING AI PATTERNS & MULTI-AGENT ORCHESTRATION
Final Project
YOU DON’T GRADUATE WITH JUST A CERTIFICATE.YOU GRADUATE WITH AN AI-ASSISTED DESIGN SYSTEM.
Your final project will demonstrate how AI can support research, prototyping, design-system operations, user trust, and production readiness without compromising design quality.
Join the Bootcamp- 01
RESEARCH WORKFLOW
Connect AI to a structured research source and create a workflow for synthesizing user feedback, insights, and personas.
- 02
GENERATIVE UI PROTOTYPE
Produce an interactive prototype or HTML-based interface concept using a generative UI workflow.
- 03
DESIGN TOKEN SYSTEM
Define reusable color, typography, spacing, and interface tokens that can guide both design and implementation.
- 04
FIGMA MCP WORKFLOW
Demonstrate how AI can read from or write to a Figma environment while maintaining system consistency.
- 05
FEEDBACK FRAMEWORK
Design feedback mechanisms, transparency patterns, fallback states, and human-review points for an AI-assisted experience.
Start your journey at ACA X
Master AI skills. Build your future. Lead the change.
Course Fee: 100,000 AMD
Get up to 100,000 AMD back if you submit your annual tax declaration and have income tax.