What is this course
A SYSTEMIC UPGRADE
You already know product design.
Now learn how AI changes the way it works.
Now learn how AI changes the way it works.
01
02
03
CONNECT YOUR WORKFLOW
PROTOTYPE AND ITERATE
DESIGN AI EXPERIENCES
Connect AI to real design tools, research data, design systems, and product context using MCP-powered workflows.
Use generative UI tools to turn ideas into wireframes and interactive prototypes while maintaining control over the design direction.
Build interfaces that communicate uncertainty, support user trust, collect meaningful feedback, and include appropriate fallback mechanisms.
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.
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.
Who want to integrate AI into real product design workflows rather than use disconnected tools for occasional tasks.
Product Designers
Design Leads and Managers
Who want to use design tokens, Figma MCP, and automation to maintain consistency and improve design-to-code parity.
UX/UI Designers
Who want to prototype faster, explore more interface variations, and preserve consistency across AI-generated outputs.
Product Teams
Who are preparing to design AI-native products, agentic experiences, multimodal interfaces, and systems.
UX Researchers
Who want to connect AI with research repositories, synthesize qualitative data, and generate evidence-based personas.
Who is this for
BUILT FOR DESIGNERS
WHO WANT TO STAY RELEVANT
WHO WANT TO STAY RELEVANT
UX RESEARCH, PERSONA SYNTHESIS & CONNECTED DATA
05
AI-DRIVEN DESIGN SYSTEMS
04
DESIGNING FOR INTENT, UNCERTAINTY & PROBABILISTIC UI
EMERGING AI PATTERNS & MULTI-AGENT ORCHESTRATION
07
08
TRUST, FEEDBACK LOOPS & COMPLIANCE
06
DESIGN TOKENS & FIGMA MCP SETUP
03
GENERATIVE UI PROTOTYPING & CLAUDE DESIGN
02
ADVANCED PROMPT ENGINEERING & MCP FUNDAMENTALS
01
Curriculum
EIGHT SKILLS.
ONE MONTH.
ONE MONTH.
Final Project
YOU DON’T GRADUATE WITH JUST A CERTIFICATE.YOU GRADUATE WITHAN AI-ASSISTED DESIGN SYSTEM.
01
02
03
RESEARCH WORKFLOW
GENERATIVE UI PROTOTYPE
DESIGN TOKEN SYSTEM
Connect AI to a structured research source and create a workflow for synthesizing user feedback, insights, and personas.
Produce an interactive prototype or HTML-based interface concept using a generative UI workflow.
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.
Your final project will demonstrate how AI can support research, prototyping, design-system operations, user trust, and production readiness without compromising design quality.
Add your details and proceed to payment.
Secure your spot now
Start your journey at ACA X
Course Fee: 100,000 AMD
Get up to 100,000 AMD back if you submit your annual tax declaration and have income tax.
Master AI skills. Build your future. Lead the change.
X
FREQUENTLY ASKED QUESTIONS
This course is designed for product designers, UX/UI designers, UX researchers, design-system owners, design leads, and product professionals who want to integrate AI into real design workflows.
You do not need to be a developer. However, some experience in product design, UX/UI, user research, design systems, or digital product development is recommended.
Yes. You will complete a practical final project that combines research, generative prototyping, design-system thinking, trust mechanisms, and advanced AI interaction patterns.