Artificial Intelligence for Product Designers

Course Goal

To equip product managers and UX/UI designers with the knowledge and practical skills to use artificial intelligence to accelerate routine processes, conduct deep user research (Product Discovery), generate design concepts, rapidly prototype, and design next-generation interfaces (AI-native UI).

Learning Format

Online / Offline / Hybrid
Practical case studies, workshops, interactive sessions
Homework assignments after each lecture and personal feedback from the trainer

What will you gain from the course?

🔗 View benefits

The Problem the Course Solves

The course addresses three main challenges faced by modern designers:

Lack of time and routine: Frees up to 50% of working time. AI takes over icon drawing, reference searching, text generation (Lorem Ipsum is no longer needed), and the creation of routine components.

Superficial research (Product Discovery): No more designing "in the dark." AI helps analyze the market, create detailed User Personas, and generate User Flows in a matter of hours.

Risk of becoming irrelevant in the market: Classic UX/UI is evolving. The course teaches how to design next-generation interfaces (AI-native UI, chat interfaces) where AI serves as the core of the product.

Program

Lesson 1: A New Era of Design. Introduction to Generative AI in UX/UI

How AI is transforming the role of a product designer: from "pixel pushing" to orchestrating systems.
The difference between generative AI (text, graphics) and predictive AI in interfaces.
Overview of the modern designer's stack: ChatGPT, Claude, Midjourney, v0 by Vercel, Figma AI.
Ethics, copyright, and data privacy (NDA) when working with AI.

Lesson 2: AI-Driven Product Discovery: User Research and Analysis

Leveraging LLMs (ChatGPT/Claude) for market analysis and discovering UX insights.
Creating detailed AI User Personas based on real data.
Simulating user interviews using AI (role-playing models for hypothesis validation).
Customer Journey Mapping (CJM) powered by AI.

Lesson 3: Idea Generation, JTBD, and Information Architecture

Brainstorming and overcoming "blank canvas syndrome" using AI
Formulating Jobs-to-be-Done (JTBD) and Value Propositions
Designing site or application Information Architecture (IA) using AI plugins
Generating User Flows and transition logic

Lesson 4: Prompt Engineering for Visual Concept Generation

The art of prompt engineering for visual neural networks (Midjourney, DALL-E 3, Stable Diffusion).
Generating mood boards, stylistic concepts, and unique graphic assets (icons, illustrations, 3D elements).
Controlling style, composition, and color palette in Midjourney (using parameters like --sref, --cref, --ar).

Lesson 5: Rapid UI Prototyping and Figma AI

Overview of built-in AI features in Figma (component generation, auto-layouts, text translation).
Creating wireframes and UI elements from text descriptions using Uizard and Relume.
Generating realistic UI copy (UX Writing) instead of "Lorem Ipsum" placeholder text.

Lesson 6: AI-to-Code: Rapid Validation and Building Working MVPs

Code generation tools for designers: v0.dev, Bolt.new, Claude Artifacts.
How to turn a design concept or prompt into an interactive front-end component (React/Tailwind) without coding knowledge.
Rapid creation and testing of functional micro-MVPs for stakeholder presentations.

Lesson 7: Interface Testing and AI-UX Analytics

Predicting user behavior: using AI attention maps (Attention Maps / Eye-tracking simulation).
Expert UX audits of layouts using multimodal models (uploading screenshots to Claude/ChatGPT).
Automating the analysis of usability test results and user feedback.

Lesson 8: Designing AI-Native Products (Designing for AI)

UX patterns for products where AI is the core (chat interfaces, adaptive UI, predictive prompts).
Simplifying interaction: moving from clicks to natural language (Intent-based UI).
Designing waiting states (AI loading), handling neural network errors and hallucinations.
Designing for trust (Human-AI Trust) and onboarding screens for AI features.

Lesson 9: Presenting Solutions, Storytelling, and Project Defense

Using AI to package design case studies (Behance, Portfolio).
Creating impactful presentations for stakeholders using Gamma / Tome.
Course wrap-up, mentor feedback, and a Q&A session.

FAQ

What are the main problems of the modern designer solved by this course?

The course helps free up to 50% of working time by delegating routine tasks to AI, such as creating icons or finding references. It also solves the problem of superficial research by helping to quickly create User Personas and User Flows, and protects against the risk of losing relevance in the market.

What tools and skills will I learn during my studies?

You will learn to work with ChatGPT, Claude, Midjourney, Figma AI, Uizard and code generation tools like v0.dev. The program covers prompt engineering for visual neural networks, creating interactive micro-MVPs without knowledge of code, and designing next-generation interfaces (AI-native UI).

In what format does the training take place and how long does it last?

The training lasts 5 weeks and includes 18 intensive classes. The format is flexible: you can choose an online, offline or hybrid course option. The process includes practical cases, workshops and constant support of participants in a closed chat.

How to register for the course and join the group?

To start implementing artificial intelligence in your design process and speed up routine work, just click the "Apply" button on this page. We will contact you to clarify the convenient format of participation and provide all the necessary details for the start of training.