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Practical AI: Risk Management & Best Practices

Mar 5, 2026 - Apr 2, 2026

  • 29 Days
  • 6 Steps
Get a certificate by completing the program.
Everyone who has completed all the steps will get a badge when the program ends.

About

Practical AI: Risk Management & Best Practices is a multi-session masterclass for anyone creating AI-generated content, products, or services for clients, teams, or organizations. Whether you’re a designer, writer, agency professional, freelancer, or content creator, this course teaches you how to use AI safely, ethically, and responsibly. You’ll learn to navigate legal, operational, and ethical risks while gaining practical tools to deliver high-quality AI outputs with confidence. What You’ll Learn: Ownership & Copyright: Understand U.S. & global copyright rules for AI content, identify potential risks. Tools, Terms & Traps: Break down TOS for popular AI platforms & track compliance for commercial use. Data Ethics & Client Liability: Protect client data, avoid bias, & manage responsibility when AI output is wrong. Contracts & Disclosure: Draft transparent agreements & implement ethical use frameworks for your team or clients. AI Integrity & Sustainable Practice: Vet workflows, implement human review, & design AI systems that align with your brand values. BONUS Downloadable Workbook Source Materials Certification & Badge: Complete the course and earn a certificate of completion and a shareable badge, showing the world your expertise in responsible AI marketing. Why This Class Matters: Whether you provide services to clients, manage projects for a team, or produce creative work for others, this masterclass equips you to use AI safely, ethically, and responsibly. You’ll learn how to protect client data, avoid legal and ethical pitfalls, and deliver AI-generated outputs with confidence and integrity. Join Practical AI: Risk Management & Best Practices and build a sustainable, responsible AI

You can also join this program via the mobile app. Go to the app

Overview

  • Module 1
  • 🗓 Review
  • Module 2
  • Module 3
  • Module 4
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