The NIST AI Risk Management Framework is a free, voluntary guide from the US National Institute of Standards and Technology for managing the risks AI systems pose to people, organisations and society. This free course explains trustworthy AI, the Govern, Map, Measure and Manage functions, Profiles, assessment without certification and links to ISO/IEC 42001, with a worked example.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
NIST AI 600-1 is the free, voluntary Generative AI Profile of the NIST AI Risk Management Framework, published in July 2024. This free course explains its twelve generative AI risks, how its suggested actions map to Govern, Map, Measure and Manage, pre-deployment testing, content provenance and incident disclosure, and how use is evidenced without certification, with a worked example.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 42005:2025 is the international guidance standard for assessing and documenting how AI systems can affect individuals, groups and society. This free course explains its assessment process and record structure, lifecycle timing, thresholds and roles, its link to ISO/IEC 42001 and legal assessments, and walks through a worked example.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 42006:2025 sets the extra requirements for bodies that audit and certify AI management systems against ISO/IEC 42001, on top of ISO/IEC 17021-1. This free course explains auditor competence, audit time, scope, impartiality and the certification cycle, with a worked example and how to judge a certificate.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 5338:2023 is the international standard for AI system life cycle processes, extending ISO/IEC/IEEE 15288 and 12207 for machine learning and heuristic systems. This free course explains its four process groups, the generic, modified and AI-specific process types, knowledge acquisition, AI data engineering and continuous validation, and how to apply it from inception to retirement.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 22989 is the international standard that defines the core vocabulary and concepts of artificial intelligence. This free course explains what an AI system is, how machine learning and data fit in, autonomy versus automation, trustworthiness characteristics, the AI life cycle and stakeholder roles, how the standard supports ISO/IEC 42001 audits, and how it relates to other AI standards and the EU AI Act.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 23053 is the international framework for describing AI systems that use machine learning. This free course explains the parts of an ML system (task, model, data and tools), the main learning approaches, the ML pipeline from data acquisition to operation and monitoring, how the framework supports risk, impact and audit work, and how it relates to ISO/IEC 22989, 5338, 23894 and 42001.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
The ISO/IEC 5259 series is the five-part international standard family on data quality for analytics and machine learning. This free course explains its vocabulary, the data quality model and measures, managing quality across the data life cycle, labelling and supplier processes, governance by leadership, and how the series relates to ISO/IEC 25012, ISO/IEC 42001 and the EU AI Act.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 25059 is the SQuaRE quality model for AI systems, extending ISO/IEC 25010 with sub-characteristics such as robustness, transparency, user controllability and intervenability. Learn the extended product and quality-in-use models, how to write measurable AI quality requirements, and how AI systems are evaluated.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
ISO/IEC 25012 is the international data quality model of the SQuaRE family. This free course explains its fifteen characteristics and the inherent and system-dependent points of view, how to turn them into measurable requirements, how data quality is measured and evaluated with ISO/IEC 25024 and 25040, and how the model relates to ISO 8000 and other data standards.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
The DAMA-DMBOK is DAMA International's vendor-neutral body of knowledge for managing data as an asset. Learn the current revised second edition, the DAMA Wheel and its knowledge areas, governance and stewardship roles, data quality and metadata practice, maturity assessment, the CDMP, and how it relates to DCAM, ISO 8000 and ISO/IEC 27001.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
DCAM is the EDM Association's (formerly EDM Council) capability assessment model for enterprise data management. This free course explains the eight components of DCAM v3, how sub-capabilities are scored on the six-level scale, how to run an assessment and calibrate the results, and how to turn the findings into a practical improvement roadmap.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
CDMC is the EDM Council's framework for managing and protecting sensitive data in cloud, multi-cloud and hybrid environments. This free course explains its six components and 14 key controls, how to implement them with automation, metadata and evidence, how readiness and certification assessments work, and how CDMC relates to DCAM, ISO/IEC 27001 and the CSA Cloud Controls Matrix.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.
The OWASP Top 10 for LLM Applications is a free, community-built guide to the most important security risks in software built on large language models. This course teaches the ten 2026 entries, from prompt injection to improper output handling, how to map them to a real design, which controls hold when the model is fooled, and how to assess an LLM feature.
Free course: a 60-minute tutorial with diagrams, a 25-question knowledge check and a certificate you can verify online.