Artificial Intelligence Risk and Cyber Security Course 2026

Learn how machine learning drives AI by teaching computers to learn from data through training data, algorithms, and models to predict outcomes and support governance and risk management.

Explain why AI governance is essential to mitigate new AI risks, including biases, privacy concerns from facial recognition, deep fakes, autonomous weapons, and job disruption, with examples like Tay.

Explore the global landscape of AI regulations and frameworks, from OECD principles to the EU AI Act, ISO 42001, and NIST AI RMF, emphasizing risk-based approaches, accountability, and harmonization.

Learn to implement a technology- and algorithm-agnostic AI governance framework with four general parts—AI policy, AI committee, AI risk management framework, and principles of integrity, explainability, fairness, and resilience.

Highlight artificial intelligence cybersecurity risks, from non-unique infrastructure and data-security threats to artificial intelligence–specific data poisoning and backdoors. Explore model evasion, extraction, and poisoning across training data and deployment.

Explore AI-based attacks that poison training data, evade models, and perform data extraction, using self-driving cars as a real-world illustration of adversarial inputs and membership inference.

Learn AI-based security testing to reveal vulnerabilities before production using MITRE ATLAS and red team/blue team approaches, with tools like CounterFit and the Adversarial Robustness Toolbox.

Differentiate agentic AI’s autonomy and decision-making from generative AI’s content creation and prompts. Use agentic AI for threat detection and IT operations, and generative AI for content and code generation.

Discover the AWS Generative AI Security Scoping Matrix, a five-scope framework that guides governance, risk management, and security controls across public, enterprise, and other deployment scopes.

Explore the agentic ai security scoping matrix, detailing four scopes from no agency to full agency, and the six security dimensions for applying secure agentic ai within your organization.