CompTIA SecAI+ (CY0-001) Certification Exam Prep

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build a strong foundation in artificial intelligence while learning to secure AI systems, aligned with the CompTIA SecAI+ certification. The course covers AI types, machine learning, statistical learning, transformers, deep learning, and their applications in AI security. Explore NLP, large and small language models, GANs, and model training techniques, including supervised, unsupervised, and reinforcement learning. Learn data security, prompt engineering, and AI data structures to strengthen secure AI practices. Finally, discover Retrieval-Augmented Generation, embeddings, AI lifecycle management, and human-centric design to deploy AI systems safely. Hands-on exercises ensure practical understanding of securing AI models throughout their lifecycle. By the end of the course, you will be able to apply AI fundamentals, secure AI workflows, perform prompt engineering, manage AI data and models, implement RAG workflows, and maintain AI systems safely.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course equips learners with the knowledge and skills to secure AI systems effectively, covering threat modeling, security controls, access management, data protection, monitoring, and attack mitigation. You’ll explore practical frameworks like OWASP ML Security Top 10, MITRE ATLAS, and CVE AI guidelines, gaining hands-on insights into implementing robust AI defenses. Through structured modules, learners will understand model evaluation, guardrails, endpoint access, encryption, auditing, and monitoring practices essential for safeguarding AI deployments. The course also examines real-world attack vectors including prompt injection, model inversion, supply chain threats, and adversarial manipulations, teaching you how to anticipate, detect, and mitigate risks. Designed for IT professionals, security engineers, and AI practitioners, this course assumes foundational knowledge in cybersecurity principles and AI systems, offering a structured path from basic controls to advanced defensive strategies. By the end of the course, you will be able to design, implement, and manage comprehensive AI security architectures, apply controls and compensating measures, secure data and access, and utilize AI-enabled tools to protect systems from complex attack vectors.