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Industrial Property Training

Industrial Property Training
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Industrial Property Training gives you a concise, practice-focused roadmap to protect and leverage innovation in AI-driven medical software and devices. Learn to build and manage global patent portfolios, draft strong technical claims, structure patent families, navigate eligibility rules, coordinate with regulatory timelines, run effective freedom-to-operate analyses, and design enforcement, monitoring, and licensing strategies that support real-world commercialization.

Elevify advantages

Develop skills

  • FTO risk analysis: run patent clearance, score blocking rights, guide mitigation.
  • Patent drafting for AI medtech: turn technical effects into strong, valid claims.
  • Global filing strategy: time PCT, EP, US, JP, CN filings with product launches.
  • Portfolio and enforcement: shape families, monitor competitors, plan litigation.
  • Regulatory-savvy IP: align GDPR, HIPAA, MDR, FDA rules with patent protection.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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