AI for Product Teams

Course Goal

Prepare participants for effective integration of artificial intelligence (AI) into digital product development, providing practical understanding of AI tools and their impact on innovation, design, planning, and validation.

The course is designed for

Product managers
Designers
Strategists
Digital teams
Entrepreneurs

Who aim to integrate AI into the product development process

Learning format

Course duration: 18 hours (9 sessions × 2 hours)
Online classes with an instructor
Homework between sessions

What does a graduate of the online course receive

🔗 View benefits

Program

Introduction to AI in the Product Context

How AI is changing approaches to product and UX/CX strategy
What AI is (and what it is not)
Generative AI vs. predictive models
Basic concepts product specialists need to know
Tool overview: ChatGPT, Claude, Perplexity, Midjourney, custom GPT models

Product Vision, Strategy, and Roadmap

Forming a product vision and aligning it with business goals
North Star metrics
Roadmap planning using AI: Now/Next/Later, RICE, ICE

Product Discovery with AI

Market and competitor analysis using AI
User persona generation with AI
Identifying unmet needs through data + AI

Ideation and Validation

Brainstorming product ideas with AI
Rapid validation techniques: mockups, MVPs created via prompts
Applying AI in JTBD and value proposition design frameworks

AI in Product and UX Design

Idea generation using LLM + AI design tools
Creating mockups and MVPs in Uizard, Figma AI, Midjourney
Simulating product functionality based on AI personas
Generating user scenarios, wireframes
Collecting feedback via AI analytics

Data and Decision-Making

Product analytics + AI = new insights
Building predictive models for feature prioritization
A/B testing and optimization with AI support

Stakeholder Management and Communication

Collaboration with development, marketing, operations teams
Product presentations and influencing skills
AI-assisted communication:
Generating meeting summaries, briefs, updates
Product visualization and storytelling with AI

Ethics, Risks, and Governance in AI Implementation

Ensuring a responsible approach to AI in products
Examples of AI failures and why they happened
Risks: bias, hallucinations, lack of transparency
What product teams should know about AI literacy

Building AI-Native Products

What is an AI-native product and how is it different
Using LLMs as part of product functionality
Prompt engineering basics for product teams

FAQ

Who is this course for and are programming skills required?

The course is designed for product managers, designers, strategists, entrepreneurs and digital teams. The program focuses on integrating AI into strategy, product discovery and design, so deep technical skills are not required, instead the basics of prompt engineering are studied.

What practical tasks will I be able to solve after training?

You will learn how to use AI for roadmap planning, market analysis, idea generation and validation through mockups and MVPs (in Uizard, Figma AI, Midjourney). You will also be able to build predictive models, optimize A/B testing and create full-fledged AI-native products.

How is the training and how much time is required?

The training takes place in an online format live with the teacher and lasts a total of 18 hours. The program consists of 9 intensive sessions of 2 hours each. Between classes, practical homework is provided to consolidate skills on real product cases.

What is the cost of the course and how to register?

The cost of the full program is UAH 20,000. To join the group and start effectively integrating artificial intelligence into the development of your digital products, just click the "Apply" button on this page and fill out a short form.