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 participants will gain:
- Understanding of how AI transforms digital product development
- Ability to identify use cases where AI creates value in ideation, research, and design
- Skills in using AI tools for discovery, user research, prototyping, and roadmap planning
- Capability to assess ethical and business risks in AI implementation
- Experience in building AI-driven processes to accelerate innovation and improve product-market fit
Program of the course "AI for Product Teams"
1
- 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
2
- Forming a product vision and aligning it with business goals
- North Star metrics
- Roadmap planning using AI: Now/Next/Later, RICE, ICE
3
- Market and competitor analysis using AI
- User persona generation with AI
- Identifying unmet needs through data + AI
4
- Brainstorming product ideas with AI
- Rapid validation techniques: mockups, MVPs created via prompts
- Applying AI in JTBD and value proposition design frameworks
5
- 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
6
- Product analytics + AI = new insights
- Building predictive models for feature prioritization
- A/B testing and optimization with AI support
7
- 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
8
- 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
9
- What is an AI-native product and how is it different
- Using LLMs as part of product functionality
- Prompt engineering basics for product teams
Course
18 hours
9 lessons
Online
20000 грн
Education provides
Marina Melnick
SkillsUp founder and CEO, Principal Consultant in WEEM, Career Therapist