Phase 9: Evaluation, Production & Capstone · 50 min · Python

Legal, Compliance & Career Preparation

Copyright, licensing, commercial rights — know the legal landscape. Portfolio, interview prep, resume — be ready to ship.

What you will learn

Navigate copyright considerations: who owns AI-generated content, training data copyright issues
Understand licensing models: Apache 2.0 (FLUX Schnell), MIT (MusicGen), Stability Community License (SDXL)
Understand platform-specific commercial rights: Midjourney, Suno, Udio commercial use terms
Prepare portfolio and interview readiness for generative media roles

Objective

Judge creative outputs with both measurable gates and human critique, then defend the release decision. In the paired studio lab, compile your generative media portfolio: (1) organize all project outputs (images, videos, audio, 3D models) into a portfolio structure, (2) write a licensing compliance report for each output (which model, which license, commercial use status), (3) create an operations runbook for your production generative media platform (deployment, monitoring, incident response, cost management), (4) write a resume-ready project summary for each of the 4 course projects.

The Problem

You've built a generative media pipeline. Can you legally:

Sell images generated with FLUX?
Use SDXL for a commercial product?
Generate music with Suno for a client?
Train a custom model on copyrighted images?

Without understanding copyright, licensing, and commercial rights, you're a legal liability to any employer. This lesson covers the legal landscape and career preparation for generative media roles.

What you'll build
Navigate copyright considerations for AI-generated content, understand licensing models (Apache 2.0, MIT, Stability Community License), understand platform commercial rights (Midjourney, Suno, Udio), and prepare a portfolio and interview readiness for generative media engineering roles.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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