AI Project Management: Full Beginner Course

The video teaches how to prepare for and manage AI annotation and red-team projects: define the work, plan people and costs, organize quality reviews, handle changes, report progress, and deliver the results. It includes practical decisions and a first 30-days preparation plan. You’re the AI PM. Now what? 🎯 The sponsor wants 4,800 labeled messages and 300 red-team cases in six weeks. The team wants to start today. What do you clarify before assigning the first task? This 44-minute visual workshop shows how to prepare for managing AI annotation and red-team projects. Follow a realistic fictional project through eight missions and 13 practical exercises. It’s designed for aspiring AI project managers, annotation leads, QA coordinators, and people moving from contributor work into project leadership. 🎯 YOU’LL LEARN TO • Understand the work behind text, audio, image, and robotics annotation. • Ask useful kickoff questions and define scope, owners, and acceptance criteria. • Use a pilot to estimate effort and plan contributor and reviewer capacity. • Build a budget that includes preparation, training, review, corrections, and coordination. • Explain contingency, actual costs, and the forecast to finish. • Give clear QA feedback and manage instruction changes. • Organize authorized red-team tests, evidence, findings, and retests. • Handle added scope and write useful stakeholder updates. • Prepare a handoff package and your first 30-days plan. 🔍 PRACTICE THE DECISIONS What should you do when reviews fall behind? When a model build changes after testing has started? When extra work arrives without extra time? When the task counter says “complete,” but required checks remain unfinished? Work through the evidence and compare your decision with a worked PM response. ⏸️ HOW TO USE THE LESSON Pause at each challenge. Write your answer, calculation, or draft document. Resume to compare your approach with the explanation. Keep your work to build a small fictional PM portfolio. CHAPTERS 00:00 Your first morning as the AI PM 01:36 Learn the workflow 05:47 Run kickoff and write scope 10:28 Plan people and time 16:17 Build the budget 21:18 Run quality and support people 27:27 Manage red-team evidence 32:43 Handle changes and status 38:54 Finish the project and prepare for the role 🎵 This is a read-along lesson with calming instrumental music and no spoken narration. All project scenarios, budgets, rates, and test results are original fictional teaching examples. Rates are illustrative, not market benchmarks. Background photos are AI-generated. For real assignments, follow your project’s approved instructions. 💬 Which decision made you reconsider your first answer? Tell us in the comments. Subscribe to @TheAIScopeLab for practical lessons about AI annotation, evaluation, red teaming, and project management. #AIProjectManagement #DataAnnotation #AIRedTeaming