AI for Digital Products (UI/UX)

Integrate Artificial Intelligence into every stage of the design process — from research to prototype — with greater speed and precision.

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Who This Training Is For

• UX/UI Designers who want to increase speed and quality with AI
• Product Designers and Design Leads with creative teams
• Product teams looking to integrate AI across the end-to-end design process

What Your Team Will Achieve

• Accelerate user research and data analysis with AI
• Generate wireframes, concepts and design variations with generative tools
• Create and test prototypes faster and at lower cost
• Produce interface copy, microcopy and UX writing at scale with AI
• Integrate AI into the design workflow without losing creative control

Training Programme

1. AI in the design process — where and how it fits without replacing the designer
2. Research and data synthesis — interviews, feedback analysis and persona generation with AI
3. Concept generation and wireframing — visual prompts, Figma AI and AI-assisted tools
4. Accelerated prototyping — from sketch to interactive prototype with AI support
5. UX writing and microcopy with AI — consistent voice and tone at scale
6. AI-assisted testing and heuristic evaluation — identifying friction and improving flows

Learning Objectives

• Understand the fundamentals and historical evolution of Artificial Intelligence (Machine Learning, Neural Networks, Deep Learning, LLM and Generative AI)
• Master effective prompt engineering, applying structures such as the DCPT formula
• Use AI visual generation tools (MidJourney, DALL-E 3, Sora, Nano Banana) in the Visual Design process
• Create working applications and websites without coding, through vibe coding (Claude AI, Perplexity AI, TRAE AI, Netlify, GitHub)
• Critically validate AI product ideas, identifying their unique value and the main associated risks
• Apply the principles of Responsible AI Design (fairness, reliability, privacy, inclusion, transparency and accountability)
• Run UX Research with AI support, including the critical use of synthetic users and feedback analysis tools
• Build fast, interactive wireframes and prototypes with AI tools (UX Pilot, Figma Make)
• Apply AI Design Guidelines and behavioural models (Hook Model, feedback loop) to the design of intelligent interfaces
• Develop, test and present a working prototype of an AI product, from concept to final presentation

Format

• In-person or online
• Designed for design and product teams
• Hands-on exercises with real tools
• Cases adapted to the organisation's context

What Makes This Different

This is not a generic AI tools introduction.

It's a training built for designers — focused on the real creative process, product quality, and responsible integration of AI into the design workflow.

Is your design team ready to work with AI?

Request a personalised proposal.