AISecurity.Academy
Courses

Course tracks

Each track follows one book chapter by chapter. Open a track to see every module, what it covers, and its learning objectives.

Module 1 in pilot production

AI Security Fundamentals

Securing models, applications, and AI systems across the lifecycle.

Who it is for. Students in cybersecurity and AI programs, AI and ML engineers, and cybersecurity practitioners who need a rigorous account of how AI systems work before they can threat-model, defend, monitor, and assure them. No prior exposure to adversarial machine learning is assumed.

  • Foundations of SecureAI (1–5)
  • The AI Threat Landscape (6–12)
  • SecureAI Engineering and Defense (13–18)
  • Governance, Risk, and Workforce Readiness (19–24)
View the modulesAbout the book
Track outline from the book

AI Security and Governance: Strategy and Leadership

An enterprise framework for secure, responsible, resilient, and mission-aligned AI.

Who it is for. Executives and boards, CISOs and Chief AI Officers, heads of AI security, architects, security operations, risk and audit professionals, procurement, privacy and legal leaders, and public-sector technology leaders.

  • Leadership, Strategy, and Enterprise Context (1–3)
  • Governance and Portfolio Control (4–6)
  • Threats, Architecture, and Engineering (7–12)
  • Secure Delivery and Assurance (13–15)
  • Operations, Detection, Incident Response, and Resilience (16–17)
  • The Enterprise Ecosystem (18–19)
  • Building the AI Security Organization (20–22)
View the modulesAbout the book
Track outline from the book

Microsoft Copilot Studio Governance and Security

Secure architecture, agent identity, data protection, runtime defense, monitoring, and enterprise governance for Copilot Studio agents.

Who it is for. Copilot Studio makers and AI engineers, AI security engineers and red teamers, cloud and enterprise security architects, Power Platform administrators, Microsoft 365 and identity engineers, SOC and detection engineers, GRC teams, and federal and regulated-industry architects.

  • Foundations of the Agentic Enterprise (1–2)
  • Secure Architecture and Lifecycle (3–6)
  • Adversarial Security and Runtime Defense (7–9)
  • Security Operations and Assurance (10–11)
  • Enterprise Governance at Scale (12–15)
View the modulesAbout the book

How each module works

One chapter, one module

Each module follows a chapter of the source book, so its learning objectives, figures, and references are already written and reviewed.

Short lecture videos

Two or three videos of 8 to 13 minutes each, with captions and a clean transcript, built from the chapter and its figures.

Hands-on labs

Guided exercises with an orientation video, learner instructions, an evidence template, and a completion rubric. Labs run locally or on free public practice targets, and only against systems you are authorized to test.

Knowledge check

Single-best-answer questions mapped to the chapter's objectives, with an answer key that explains every option. Passing score 80%.

Authorized use

Labs use systems you own, synthetic data, or public practice targets that explicitly permit testing. The techniques taught here must not be used against systems without authorization.