Free Download AI Literacy and EU AI Act Compliance
Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 17m | Size: 2.11 GB
Master AI literacy and meet EU AI Act compliance with practical insights, risk frameworks, and governance tools.
What you'll learn
Understand the EU AI Act's risk-based framework (prohibited, high-risk, limited, and minimal-risk systems).
Recognize and apply the Article 4 AI literacy requirements for providers, deployers, and managers.
Explain core AI concepts such as machine learning, algorithmic bias, explainability, and transparency.
Conduct AI risk assessments and design effective mitigation strategies.
Develop and implement AI governance structures, compliance documentation, and incident reporting processes.
Ensure AI systems align with ethical standards, fairness, privacy, and data protection laws (e.g., GDPR).
Apply compliance knowledge in real-world business and management contexts to responsibly deploy AI.
Build ongoing AI literacy programs within organizations to meet evolving compliance needs.
Requirements
No prior technical expertise in AI or coding is required.
Basic familiarity with business operations, compliance, or risk management is helpful but not mandatory.
An interest in AI, governance, and regulatory frameworks will support better engagement.
Description
Artificial Intelligence is no longer a futuristic concept-it's a powerful reality shaping every business sector today. With the EU AI Act officially enforced and continuously updated (as of August 2025), organizations and professionals must ensure not only ethical use of AI but also regulatory compliance. This course, AI Literacy and EU AI Act Compliance, is designed to bridge the critical gap between AI knowledge and legal obligations.You'll start by understanding the EU AI Act's risk-based framework, including prohibited, high-risk, limited-risk, and minimal-risk AI categories. From there, the course explores the Article 4 literacy requirements, ensuring learners gain the knowledge needed to comply with mandatory AI literacy standards. You'll also build a foundation in core AI concepts such as machine learning fundamentals, algorithmic bias, explainability, transparency, and ethical considerations.Through structured modules, the course covers:AI Risk Assessment & Mitigation: Learn how to evaluate, categorize, and reduce AI risks.AI Governance & Oversight: Understand organizational responsibilities, record-keeping, and incident reporting.Privacy & Data Protection: Explore GDPR-aligned practices for safe AI development and deployment.Practical Business & Management Guidance: Gain actionable strategies for managers, leaders, and teams to implement responsible AI practices.By the end of this course, you will:Understand and apply the EU AI Act compliance framework.Build the AI literacy skills mandated for providers, deployers, and managers.Recognize and mitigate ethical, privacy, and bias challenges in AI systems.Develop governance, documentation, and incident response processes for AI oversight.Equip your organization and career with the knowledge to navigate the future of AI regulation.This course is constantly updated to reflect the latest regulatory changes, ensuring that your learning stays current, practical, and compliance-focused.If you're a business professional, compliance officer, AI practitioner, or leader looking to stay compliant and competitive in the age of AI regulation, this course is your roadmap.
Who this course is for
Business professionals and managers responsible for adopting AI responsibly.
Compliance officers, risk managers, and legal teams seeking to meet EU AI Act obligations.
AI practitioners, data analysts, and IT staff who need to align their work with compliance standards.
Executives and decision-makers looking to establish AI governance and literacy programs within their organizations.
Students and professionals aiming to strengthen their careers with knowledge of AI regulations and ethical practices.
Anyone interested in gaining AI literacy and staying prepared for the future of AI regulation.
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