Valentino Megale
Tech Entrepreneur · AI, XR & Digital Health Innovator
Main Masterclass
Advanced AI Product Manager
Lead, build and ship AI-powered products with the strategic judgment, technical literacy and execution frameworks required in the AI era.
"A scientist-founder helping professionals build AI-powered products with strategic clarity, scientific rigor and responsible execution."
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AI & Automation
Background
Valentino Megale is a tech entrepreneur, TEDx speaker, researcher, author and lecturer focused on XR, simulation technologies and artificial intelligence, with a special focus on digital health and mental well-being. Trained as a biologist with a Ph.D. in Neuropharmacology, he has international academic research experience across Italy, France and Austria in pharmacology, organic chemistry and molecular biology, with a focus on oncology and neuronal metabolism.
He is the Founder and CEO of Softcare Studios, a digital health startup developing virtual reality solutions for drug-free stress and pain management during medical treatments, as well as clinical skill training through immersive simulation. His work connects AI, simulation and real-world product development in high-stakes environments where quality, safety and impact matter.
Valentino advises XRSI on medical XR, digital safety and privacy in the metaverse, and child safety in virtual worlds. He also serves as President of XRSI Europe, contributing to education, research and advocacy around responsible and safe technology applications.
He is a lecturer at Rome Business School, Program Director of the International Master in Artificial Intelligence, and a startup mentor involved in higher education and consulting initiatives focused on digital innovation in business. Across his work, one thread connects science, entrepreneurship and technology: understanding how minds — human and machine — model reality and act within it.
Education
Ph.D. Neuropharmacology
International Research Experience
Italy · France · Austria
Biology (BSc/MSc)
Scientific Research
Oncology & Neuronal Metabolism
Career
Founder & CEO
CurrentSoftcare Studios
Program Director, International Master in Artificial Intelligence
CurrentRome Business School
President
CurrentXRSI Europe
Advisor — Medical XR, Digital Safety & Privacy
CurrentXRSI
Masterclass
Advanced AI Product Manager
Lead, build and ship AI-powered products with the strategic judgment, technical literacy and execution frameworks required in the AI era.
A 4-hour executive masterclass for product managers, founders, operators and innovation professionals who want to move beyond AI hype and learn how to discover, design, evaluate, launch and scale AI-powered products with confidence.
Who is this for
- Product Managers and Senior PMs ready to lead AI-powered product teams
- Founders building or evaluating AI-enabled products
- Product Owners who need to define AI requirements with precision
- Innovation and strategy professionals entering AI product roles
- Consultants and analysts supporting AI product decisions for clients
- UX and product strategists bridging design and AI capabilities
What you'll learn
- Understand how AI product management differs structurally from traditional PM
- Identify when AI creates genuine leverage vs. when it is AI-washing
- Make confident build/buy/fine-tune/prompt decisions for AI features
- Define AI product requirements using specs, constraints and evals
- Collaborate effectively with ML engineers and data scientists
- Evaluate AI product quality with specific metrics and feedback systems
- Model AI cost structure, token economics and pricing strategies
- Approach responsible AI deployment with safety, ethics and regulatory awareness
- Build a roadmap under technical uncertainty
- Produce a complete AI Product Strategy & Execution Blueprint
Skills acquired
Masterclass details
Tools & Frameworks
Program
Curriculum overview
Module 01 — The AI PM Role
How it differs from traditional PM. Skills gap analysis and the mental model shift required to work at the intersection of ML and product.
Module 02 — AI Literacy for PMs
LLMs, embeddings, classification, generation. Enough technical depth to collaborate with engineers and make confident decisions.
Module 03 — AI Product Taxonomy
Copilots, agents, platforms and pipelines. Mapping AI product archetypes. Choosing the right type for the problem.
Module 04 — AI Opportunity Discovery
Jobs-to-be-done for AI. Identifying high-value use cases. Separating genuine AI leverage from AI-washing.
Module 05 — Defining AI Product Strategy
Make-vs-buy framework for AI. Evaluating foundation models vs custom training. API-first vs embedded AI.
Module 06 — AI Business Models
Token costs, inference economics, gross margin dynamics unique to AI products. Pricing strategies: usage-based, outcome-based, seat licenses.
Module 07 — AI Feature Requirements
Defining input/output contracts. Evaluation criteria instead of acceptance criteria. How to spec a prompt, a model, and a pipeline.
Module 08 — AI Prototyping & Experimentation
Prompt engineering as PM tool. Rapid prototyping with no-code/low-code AI. Running structured experiments. Failing fast before committing to build.
Module 09 — Working with AI Engineering Teams
How to partner with ML engineers and data scientists. Understanding model tradeoffs: latency, accuracy, cost. Shared vocabulary and decision ownership.
Module 10 — Measuring AI Product Quality
AI-specific KPIs: task success rate, hallucination rate, latency p95, satisfaction delta. Building evaluation pipelines and human-in-the-loop quality systems.
Module 11 — AI Safety, Ethics & Responsible Deployment
Bias, hallucination, misuse vectors. Safety by design. EU AI Act and regulatory landscape. Building trust through transparency and guardrails.
Module 12 — Scaling and Iterating an AI Product
Data flywheels, model iteration without regressions, agentic product evolution. Building a roadmap under technical uncertainty.
Final Project
AI Product Strategy & Execution Blueprint — a complete, ready-to-use framework covering your AI opportunity, target user, feature type, build/buy/fine-tune/prompt decision, requirements, eval metrics, cost model, safety checklist, launch roadmap and iteration plan.
Certificate of Completion
Earn a verified certificate
What it proves
Successful completion of all masterclass modules and the final project, verified against your course ID and profile.
When it's issued
Automatically generated after you complete the final module and submit your project. No manual request needed.
How to share it
Your certificate includes a unique verification link. Share it on LinkedIn, your portfolio, or with employers.
FAQ
Common questions
"A scientist-founder helping professionals build AI-powered products with strategic clarity, scientific rigor and responsible execution."
— Valentino Megale
Ready to start Advanced AI Product Manager?
You will leave with a complete AI Product Strategy & Execution Blueprint — a personal operating system for discovering, designing, evaluating, launching and scaling AI-powered products.