
This course contains the use of artificial intelligence.
This course, taught by Aseem Mankotia, delivers a direct, scenario-driven walk through every domain of the IAPP CIPP/US Body of Knowledge — the structure of U.S. privacy law, sector-specific rules like GLBA, HIPAA, FCRA, TCPA, FERPA, and COPPA, government and court access to private-sector data, workplace privacy across the employment lifecycle, and the fast-growing landscape of state comprehensive privacy and breach notification laws. Rather than reciting statute numbers, every chapter frames the law the way the exam does: as an applied scenario where you must identify the obligation, the exception, and the best privacy practice.
Each chapter maps to an official exam domain, highlights heavily tested concepts, and closes with scenario-based practice questions modeled on real exam item styles — never rote definition recall. Aseem Mankotia draws on real-world compliance fact patterns (background checks gone wrong, breach notification triggers, workplace monitoring disputes, state opt-out rights) so you build the judgment the exam is designed to test, not just memorized facts.
The final chapter is a full-length exam simulation with a 2.5-hour time-management plan, pacing strategy, and answer-elimination techniques for the 90-item format. This is an exam-focused preparation course for U.S. privacy law — always confirm the current Body of Knowledge, exam blueprint, scoring model, fees, and membership requirements on IAPP's official CIPP/US page before scheduling, as privacy law and exam mechanics change frequently.
AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official CIPP/US exam guide.