Business fields · Product Management
AI training for Product Managers
Product managers connect customer needs, business goals and technical delivery. Their day revolves around discovery, prioritisation, specification and alignment with engineering, design, sales and leadership. Generative AI speeds up almost every one of these steps: it analyses customer feedback, interviews and support tickets, helps write product requirements and user stories, structures competitor analyses and prepares roadmap communication for different stakeholders. With vibe coding, product managers can build clickable prototypes themselves and test ideas before committing engineering capacity. AI agents bring together signals from analytics, CRM and feedback tools. That leaves more time for product vision, decisions and conversations with customers.
Who is this course for?
- Product managers
- Product Owners in agile teams
- Heads of Product and product directors
- Product marketing teams
- UX researchers and product designers
Typical challenges we address
- Large amounts of unstructured feedback from many channels
- Heavy effort for specifications and stakeholder alignment
- Prioritising under uncertainty and competing interests
- Long lead times from idea to testable prototype
Practical scenarios from your field
Synthesising customer feedback
Interviews, support tickets, app reviews and surveys are grouped by theme, problem and request and turned into an opportunity overview with supporting quotes for discovery.
PRDs and user stories
Problem statement, target users and goals become drafts of product requirement documents, user stories with acceptance criteria and edge cases, refined with engineering and design.
Preparing prioritisation
AI helps score initiatives using frameworks such as RICE or Kano, surface assumptions and prepare arguments for and against options ahead of prioritisation discussions. Disagreements become easier to resolve.
Competitor and market analysis
Feature comparisons, positioning and pricing models of competitors are structured and updated regularly; claims are backed by sources and checked critically. You keep track of market moves without lengthy manual research.
Prototypes via vibe coding
Product managers use AI coding tools to build clickable prototypes and simple functional demos to test concepts with users and make requirements tangible for the team.
Roadmap and release communication
Roadmaps, release notes, internal enablement material and customer communication are tailored to the audience – technical for engineering, benefit-led for sales and customers. Every audience gets exactly what it needs.
Possible hands-on projects
Feedback hub
A small app that collects feedback from various sources, tags it by theme and shows which problems are mentioned how often and by which customer segments.
RICE prioritisation calculator
An internal tool for scoring initiatives on reach, impact, confidence and effort and displaying them as a sortable ranking. Assumptions are documented per initiative.
Release notes generator
A web app that reads a list of completed tickets and produces release notes in an internal and a customer-facing version.
All 17 courses for Product Managers
AI for business (13)
- ChatGPT for Product Managers
- Claude for Product Managers
- Microsoft 365 Copilot for Product Managers
- Google Gemini for Product Managers
- AI Agents for Product Managers
- Prompt Engineering for Product Managers
- Generative AI for Product Managers
- n8n for Product Managers
- Make for Product Managers
- Perplexity for Product Managers
- Mistral Le Chat for Product Managers
- AI Image & Video Generation for Product Managers
- EU AI Act & AI Compliance for Product Managers
Vibe & agentic coding (4)
Data protection & compliance
Customer feedback and usage data often contain personal information and are subject to the GDPR; they should be pseudonymised before being processed in AI tools. Roadmaps and unreleased product information are trade secrets, and AI features in your own product must be assessed against the requirements of the EU AI Act.
Prerequisites
Experience in product management or as a Product Owner; no programming skills required.
Frequently asked questions
Can AI make product decisions?
No, but it improves the basis for them. AI condenses feedback, surfaces assumptions and prepares options. Product vision, weighing trade-offs and accountability for decisions remain with product management. In the course you use AI deliberately as an analysis and sparring partner without giving up critical judgement.
How far can I get with vibe-coded prototypes?
Very far for clickable interfaces, simple logic and user testing – often within a few hours. Production-ready software with security, scalability and maintainability remains engineering's job. The course shows how prototypes improve collaboration with the team rather than replacing it.
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