Augmented Product Management
Generative AI is no longer just a writing assistant; it has become the indispensable intellectual and technical partner of the modern Product Manager. This immersive training proposes a paradigm shift: moving from the role of operational "doer" to that of "Product Architect" who orchestrates artificial intelligence to multiply their impact.
The thread of this day is a complete product sprint: in 7 hours, participants will accomplish what usually takes several weeks. From raw data analysis to strategy, and from specification to functional prototyping, we will simulate launching a new product end-to-end.
This session demonstrates how AI can drastically compress the "Discovery" and "Delivery" phases. Participants will learn to transform data insights into concrete interfaces instantly, eliminating technical blockers to focus on user value and market validation.
What you will learn
- Master the "Augmented PM": Use advanced language models to analyze, reason, and build
- Lead accelerated Discovery: Leverage AI to ingest and synthesize massive data corpora (interviews, logs, studies) to detect hidden opportunities
- Industrialize definition: Generate and challenge complete specifications (PRD, User Stories, acceptance criteria) with increased technical rigor
- Prototype in real-time (No-Code/Low-Code): Move from concept to visual reality (Text-to-UI) and deploy a functional MVP using autonomous coding agents
- Simulate Go-to-Market: Create a complete launch strategy and use predictive AI to anticipate and analyze Product Market Fit
Prerequisites
- Practical experience in Product Management (knowledge of Agile cycles, Discovery, User Stories, KPIs)
- Having a "Product" culture is essential. The goal is not to learn the PM profession, but to learn how AI is radically transforming it
- No coding skills required
Target audience
- Product Managers, Senior PMs, Product Owners, Head of Product or CPO looking to evangelize AI usage for velocity gains, Entrepreneurs or "Product Builders" wanting to validate ideas quickly.
Training Program
5 modules to master the fundamentals
Topics covered
- →Introduction: The PM's posture shift in the AI era
- →Ingestion and structuring of massive qualitative and quantitative data
- →Identification of weak signals, "Pain Points" and generation of dynamic Personas based on real data
Activities
Practical workshop: Audit a market dataset and extract a qualified product opportunity
Topics covered
- →Divergent ideation and assisted brainstorming techniques
- →The "Sparring Partner" role: using AI to challenge value proposition and strategy ("Devil's Advocate" method)
- →Automated writing of technical deliverables: PRD, User Stories and acceptance tests
Activities
Practical workshop: Transform the opportunity into a strategic roadmap and development-ready specifications
Topics covered
- →The concept of "Generative UI": describe an interface to see it appear instantly
- →Collaboration with autonomous development agents to transform mockups into functional code
Activities
Practical workshop: Creation and deployment of an interactive MVP testable on mobile in under an hour
Topics covered
- →Multichannel generation of launch assets (Marketing, Communication, Support)
- →Market reception simulation: sentiment analysis and retention prediction
- →Post-launch data analysis to drive the "Pivot or Persevere" decision
Activities
Practical workshop: Product launch simulation and critical analysis of success metrics
Topics covered
- →Synthesis of learnings and action plan to integrate these new reflexes into daily professional life
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Upcoming sessions
No date suits you?
We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.
Register for a custom dateTrain multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote