Find the right opportunity
Separate genuine AI leverage from features that add cost without creating meaningful value.
Professor-led masterclassEnrollment open
Taught by Valentino MegaleBuild AI products people can
Build AI products people can
trust, use and scale.
A practical operating system for leading AI products—from opportunity and specification to evaluation, safety and launch.
4 hours·Advanced level·Certificate included
$399 · one-time
4 hours
Focused video learning
12 lessons
From strategy to launch
1 blueprint
Built around your product
Lifetime
Access and future updates
Masterclass Introduction
Why Valentino Megale Teaches This Masterclass
Watch a brief introduction from Valentino Megale on what you will build and how this masterclass works.
The outcome
Move from AI ambition to defensible product decisions.
You will learn how to frame the opportunity, communicate with technical teams, define what good looks like and ship with the right commercial and safety constraints.
Write buildable specifications
Translate product intent into inputs, outputs, constraints and quality criteria engineering teams can execute.
Evaluate quality
Design practical evals, human feedback loops and success metrics before an AI feature reaches users.
Model the economics
Understand inference costs, margin pressure and pricing decisions before scaling usage.
Deploy responsibly
Identify failure modes, safety requirements and the trust signals users need.
Build a launch roadmap
Turn uncertainty into an ordered path from working slice to first users and continuous improvement.
Who it is for
Built for people responsible for what happens next.
01
Product managers
Leading discovery, requirements and delivery for AI-powered products or features.
02
Founders
Making build, buy, pricing and product-scope decisions with limited time and capital.
03
Innovation leaders
Turning broad AI initiatives into measurable experiments and accountable roadmaps.
Curriculum
A clear path from understanding to execution.
Each section earns its place by moving the applied project forward. No oversized content library and no filler lessons.
01.1
The AI product manager role
Understand the responsibilities and decisions that distinguish AI product work from traditional product management.
01.2
AI literacy for product leaders
Learn enough about models, embeddings and generation to work confidently with technical teams.
01.3
AI product archetypes
Compare copilots, agents, platforms and pipelines—and match the right archetype to the problem.
Your applied project
Leave with an AI Product Strategy & Execution Blueprint.
Each module contributes to one working document built around a real product opportunity—not a fictional classroom exercise.
Opportunity definition
Build/buy decision
Product specification
Evaluation criteria
Unit economics
Safety checklist
Launch roadmap
Industry Economics & Market Benchmark
What the Market Actually Pays for Real AI Product Leadership.
Transparent industry benchmarks across full-time compensation, fractional advisory rates and avoided engineering costs — based on verifiable public talent data.
Levels.fyi & Glassdoor 2025
$145k – $225k
Senior / Lead AI Product Manager
Average annualized base compensation range for verified AI Product Leaders in US / EU remote technology hubs.
Fractional Advisory Rate
$175 – $350 / hr
AI Strategy & Eval Advisory
Typical market billing rate for practitioners advising startups on model selection, evaluation criteria and product specifications.
Avoided Engineering Waste
$40,000+
Cost of Early Regressions
Estimated developer budget saved per sprint by specifying evaluation guardrails and token unit economics before writing backend code.
MARKET DYNAMICS 01
Beyond Basic Prompting
Companies now filter heavily for product leaders who understand inference margins, latency tradeoffs and evaluation datasets rather than generic feature managers.
MARKET DYNAMICS 02
Direct Gross Margin Protection
Knowing how to balance model tiers, context window usage and caching logic directly protects company gross margins as usage scales.
MARKET DYNAMICS 03
Bridging the Executive-Engineering Gap
The market pays a premium for practitioners who can translate boardroom AI strategy into tight, testable engineering specifications.
* Note: Market benchmarks compiled from Levels.fyi (2025), Glassdoor, Andreessen Horowitz State of AI Talent and verified European tech compensation surveys. Provided strictly for market context and reference; outcomes depend on prior background, execution and market conditions.
Valentino Megale
Your professor
Learn from someone doing the work.
A scientist-founder helping professionals build AI-powered products with strategic clarity, scientific rigor and responsible execution.
Tech entrepreneur · AI, XR and digital health innovator
Ph.D. Neuropharmacology
Founder & CEO · Softcare Studios
AI Program Director · Rome Business School
TEDx Speaker
Included in Enrollment · 24/7 AI Co-Pilot
Trained on This Masterclass: Meet LUNA
You don't build alone. Every masterclass enrollment includes 24/7 access to LUNA—our cognitive AI agent calibrated on Valentino Megale's frameworks to answer technical questions, calculate token margins, and review your applied project blueprint.
Blueprint Auditing
Pressure-test your deliverables against the masterclass evaluation rubrics.
24/7 Q&A
Instant answers and code debugging across every module on your schedule.
Math & Token Economics
Calculate exact inference margins, latency budgets, and SLA constraints.
Zero Token Fees
Included directly in your tuition with lifetime student access.
Make it specific
Add a private 1-on-1 when your project needs direct feedback.
Work with a professor on your actual product, decision or next step after learning the shared method.
Questions
Know exactly what you are choosing.
Secure enrollment through Fiscedge Academy
Start when you are ready
Put the method to work on something real.
Learn at your own pace, keep lifetime access and finish with an applied project you can continue using.
Self-pacedCertificate includedLifetime access