ISO 42001/22989: Fundamentals of Artificial Intelligence -AI
Learn AI auditing & governance with ISO 22989 & ISO 42001. Master key concepts for explaining and managing AI systems.
Course Content
ISO 42001/22989: Fundamentals of Artificial Intelligence -AI is an all-levels Udemy course taught by 180 Grados. It runs 5h 1m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 1 review, with 1 student enrolled. It is a paid course, first published August 2025.
Master the language of Artificial Intelligence (AI) with this comprehensive course, aligning with the internationally recognized ISO/IEC 22989 standard. Understand the practical implications of this standard for AI governance under ISO/IEC 42001.
Through engaging project sessions covering key AI topics – including the AI ecosystem, AI lifecycle, symbolic AI, subsymbolic AI, data quality checking, IoT, and Machine Learning (ML) algorithms – you'll gain the skills to:
- Accurately interpret AI terminology: Confidently define AI systems, AI models, data, datasets, training, validation, and deployment using official definitions.
- Understand AI paradigms: Differentiate between symbolic AI and subsymbolic AI, and recognize the growing importance of hybrid AI approaches.
- Identify core AI algorithms: Locate and understand common ML algorithms like SVMs, CNNs, RNNs, LSTMs, decision trees, and Bayesian networks within the context of ISO/IEC 22989.
- Manage the AI lifecycle: Explain the complete AI system lifecycle, including essential artifacts and the evidence required for auditing (traceability, logging, change control).
- Ensure data quality: Apply practical data quality checking techniques, addressing typical risks such as bias and contamination, and implementing minimum controls.
- Align AI with governance: Map AI terms and artifacts to ISO 42001 Annex A controls, including technical documentation, data management, monitoring, explainability, human intervention, and incident response.
- Define roles and responsibilities: Distinguish the roles of process owners, data custodians, developers, and auditors within an AI-focused FSMS (Financial Services Management System).
- Mitigate AI risks: Identify common AI risks (e.g., prompt injection, uncontrolled consumption) and their relationship to FSMS policies and key metrics.
- Create audit-ready documentation: Build standardized glossaries and data sheet templates for models, data, and algorithmic decisions, optimized for auditing.
- Explore cutting-edge AI tools: Gain familiarity with popular AI tools such as ChatGPT, Eleven Labs, Heygen, Sora, and Explotion.
This course is designed to enhance your skills and provide practical tools for professional growth. It's ideal for those seeking to improve sustainability skills or delve into advanced water management and other vital global applications of AI.
This course falls under informal education, encompassing courses, diplomas, seminars, and conferences. Join over 3000 students worldwide who have rated this course with an average of 4.4+ stars!
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