
This course contains the use of artificial intelligence.
This course delivers independent, exam-focused preparation for CSA's Trusted AI Safety Expert (TAISE) credential, built around all ten official TAISE modules consolidated into six exam domains: AI and generative AI foundations, ethics and explainability, the AI model lifecycle and threat taxonomy, governance and compliance frameworks, AI and cloud security, and data privacy with continuous monitoring. Because TAISE is a training-plus-exam bundle administered directly by the Cloud Security Alliance, this course is positioned honestly as a companion resource for conceptual mastery and practice - it does not replace, substitute for, or claim equivalence to CSA's own required training, and candidates must still complete that official training to sit the proctored exam.
Instructor Aseem Mankotia breaks down transformer architecture, RAG pipelines, agentic systems, the OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, the EU AI Act, and CSA's own AI Controls Matrix (AICM) into direct, scenario-driven lessons. Every chapter pairs core concepts with a tabletop lab - threat-modeling an LLM application, building an AI risk register, mapping AICM controls, or designing layered guardrails - so you build the applied judgment the exam's scenario-based questions actually test, not just vocabulary recall.
The course closes with a full 60-question practice simulation modeled on the real exam's 120-minute format and 80% scoring threshold, plus a time-management strategy for pacing, flagging, and reviewing answers. It is designed to sit naturally alongside this catalog's other AI-governance credentials - IAPP AIGP, ISACA AAIA/AAIR/AAISM, Microsoft SC-500, and CompTIA SecAI+ - for professionals building a complete AI risk, security, and governance skill set under Aseem Mankotia's instruction.
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 TAISE exam guide.