Advanced Ai

EU AI Act Compliance & AI Ethics Certification

Q: Does EU AI Act course include a certificate?

Yes. Participants will receive a certificate of completion after successfully completing the course.

Q: What is the EU AI Act?

The EU AI Act is Regulation (EU) 2024/1689, a legal framework that sets harmonised rules for artificial intelligence across the EU. It classifies AI systems by risk and creates obligations for providers, deployers, and other AI value-chain actors.

Gain your EU AI Act certification. Learn Article 11 and 24 requirements, ISO 42001 standards, and AI risk management. Be ready for 2025/2026 deadlines.

89 students
Last Updated on 29th April 2026

EU AI Act Compliance & AI Ethics Certification

Overview

What is EU AI Act and Ethical AI Compliance Training?

EU AI Act and Ethical AI Compliance training is a structured professional programme that teaches organisations how to understand, classify, govern, document, and monitor artificial intelligence systems under the EU AI Act and related Spanish and EU legal requirements.

This course provides a practical EU AI Act summary for business and compliance teams while also going deeper into EU AI Act compliance, high-risk AI systems, EU AI Act Article 50 transparency obligations, EU AI Act Annex III risk categories, GPAI model governance, AI Act fines, and ethical AI compliance.

The training explains the obligations of providers, deployers, importers, distributors, and downstream users. It also helps participants understand how the AI Act interacts with GDPR, LOPDGDD, human rights, equality, workplace regulation, product liability, AI governance, and third-party risk management.

Who Should Enroll in This EU AI Act and Ethical AI Compliance Course?

This course is designed for professionals and organisations that develop, procure, deploy, manage, audit, or govern AI systems.

For Individual Professionals:

If you are a compliance officer, lawyer, data protection officer, AI governance manager, product owner, HR manager, technology consultant, risk professional, software developer, AI project manager, or aspiring ethical AI compliance officer, this course provides practical knowledge for AI Act readiness.

Understand the EU AI Act: Learn the structure, purpose, scope, key definitions, risk categories, implementation timeline, and compliance obligations.
Build AI Governance Skills: Understand how to classify AI systems, document risk, manage oversight, and prepare for audit or regulatory review.
Improve Career Value: Gain knowledge relevant to EU AI Act jobs, AI governance roles, responsible AI consulting, digital compliance, and AI risk management.
Apply Ethical AI Principles: Learn how fairness, transparency, explainability, accountability, non-discrimination, and human oversight support trustworthy AI.

For Businesses and Corporate Teams:

If your organisation uses AI in HR, finance, customer service, healthcare, education, recruitment, fraud detection, marketing, public services, biometric systems, or automated decision-making, this course supports practical compliance readiness.

AI Act Compliance Planning: Build an internal AI inventory, risk classification process, governance model, documentation framework, and monitoring routine.
High-Risk AI Readiness: Understand requirements for high-risk AI systems, including risk management, data governance, documentation, logging, human oversight, accuracy, robustness, and cybersecurity.
GPAI and Generative AI Governance: Prepare for general-purpose AI obligations, transparency rules, synthetic content controls, watermarking, and downstream deployment responsibilities.
Audit and Enforcement Preparedness: Understand market surveillance, regulatory powers, EU AI Act fines, civil liability, contractual controls, and third-party AI risk.

What topics does this EU AI Act and Ethical AI Compliance course cover?

This course covers the EU AI Act from introduction to implementation. It explains the legal structure, definitions, risk categories, high-risk AI system requirements, GPAI governance, transparency obligations, enforcement, liability, ethical AI principles, and Spain-specific legal duties.

The course also includes current implementation guidance. The European Commission explains that the European AI Office and Member State authorities are responsible for implementing, supervising, and enforcing the AI Act, while the AI Board, Scientific Panel, and Advisory Forum support governance. The Commission has also published a General-Purpose AI Code of Practice to help industry comply with AI Act obligations relating to safety, transparency, and copyright for GPAI models.

Curriculum Summary:

Module	Key Topics
Module 1: Introduction to EU AI Regulation	Origins and Legislative Structure of the EU AI Act Key Definitions and Regulatory Terminology EU Digital Strategy and Alignment with Other Laws Obligations for Providers, Deployers, Importers, and Distributors
Module 2: EU AI Act Risk Categories	Prohibited AI Practices and Unacceptable Risk High-Risk AI Use Cases and Classification Criteria Transparency Rules for Limited-Risk AI Minimal-Risk AI and Voluntary Best Practices
Module 3: High-Risk AI System Requirements	Governance and Lifecycle Risk Management Data Quality, Training Practices, and Bias Control Documentation, Conformity Assessment, and CE Marking Human Oversight, Monitoring, and System Reliability
Module 4: Governance of General-Purpose and Generative AI	General-Purpose AI Models and Regulatory Scope Systemic GPAI Obligations and Testing Requirements Transparency, Watermarking, and Synthetic Content Rules Responsibilities for Fine-Tuning and Downstream Deployment
Module 5: Enforcement, Risk, and Liability Frameworks	Market Surveillance, Audits, and Regulatory Powers Penalties, Fines, and Non-Compliance Consequences Civil and Product Liability in AI-Driven Systems Contractual Controls and Third-Party Risk Management
Module 6: Ethical AI Principles and Governance Structures	Fairness, Non-Discrimination, and Human Rights Alignment Transparency, Explainability, and Trustworthiness Ethical Risk Assessment and Mitigation Techniques Organizational AI Governance, Oversight, and Accountability
Module 7: Spanish AI Legal and Regulatory Framework	Spain’s Implementation of the EU AI Act GDPR, LOPDGDD, and National Data Protection Duties Spanish Labor, Workplace, and Equality Regulations National AI Strategy, Public Sector Rules, and Enforcement Bodies

What is the Financial Cost/Risk of EU AI Act Non-Compliance?

The financial and operational risk of poor AI governance can be significant. Non-compliance may create exposure to administrative fines, product restrictions, regulatory audits, reputational harm, discrimination claims, data protection breaches, contract disputes, and loss of market access.

AI Act Penalty Exposure: The EU AI Act includes enforcement mechanisms and penalties for serious breaches, making AI governance a financial risk issue as well as a technical issue. Regulation (EU) 2024/1689 is the official EU legal text laying down harmonised rules on artificial intelligence.
High-Risk AI Failure: High-risk AI systems may require strict lifecycle controls, risk management, data quality, technical documentation, conformity assessment, CE marking, monitoring, and human oversight.
Transparency Risk: Article 50-related transparency rules affect interactions with AI systems, synthetic content, generative AI outputs, and deepfake disclosures. The Commission is preparing support instruments for marking and labelling AI-generated content and transparency obligations.
GPAI and Generative AI Risk: Providers of GPAI models must address transparency, copyright, and safety or security requirements, with additional expectations for systemic-risk models.
Spanish Regulatory Risk: Organisations operating in Spain must also consider AESIA oversight, GDPR, LOPDGDD, employment law, equality rules, public sector requirements, and data protection duties.
Operational and Contractual Risk: Weak AI contracts, unclear provider/deployer roles, undocumented model changes, poor vendor due diligence, and uncontrolled downstream deployment can create liability across the AI supply chain.

Learning Outcomes

By completing this EU AI Act and Ethical AI Compliance course, participants will be able to:

Explain the EU AI Act: Describe the purpose, scope, legislative structure, key definitions, implementation timeline, and regulatory terminology of the EU AI Act.
Classify AI Systems by Risk: Distinguish prohibited AI practices, high-risk AI systems, limited-risk systems, minimal-risk AI, and voluntary best-practice categories.
Identify High-Risk AI Duties: Understand governance, lifecycle risk management, data quality, documentation, conformity assessment, CE marking, monitoring, reliability, and human oversight requirements.
Understand GPAI Obligations: Explain general-purpose AI models, systemic GPAI risk, testing requirements, transparency, copyright, safety, synthetic content, watermarking, and downstream deployment responsibilities.
Prepare for EU AI Act Compliance: Build AI inventories, role maps, compliance checklists, evidence files, audit logs, and governance procedures.
Assess Ethical AI Risks: Apply fairness, non-discrimination, transparency, explainability, human rights alignment, and accountability principles.
Manage Enforcement and Liability: Understand market surveillance, regulatory powers, AI Act fines, civil liability, product liability, contractual risk, and supplier controls.
Apply Spanish AI Compliance Duties: Connect the EU AI Act with GDPR, LOPDGDD, workplace rules, equality requirements, public sector duties, AESIA, and Spain’s national AI governance framework.
Support Organisational AI Governance: Design oversight structures, decision rights, review committees, escalation processes, training records, and continuous monitoring.

Requirements

No prior legal or technical background is required.

A basic understanding of business operations, compliance, data protection, software systems, AI tools, or organisational risk management is recommended.

Participants should have access to a desktop or laptop device with a standard web browser and stable internet connection.

Prior exposure to AI tools, machine learning projects, HR analytics, automated decision-making, customer service chatbots, generative AI platforms, or compliance documentation will be useful but is not mandatory.

This Course Includes

7 detailed learning modules covering EU AI Act compliance, ethical AI governance, high-risk AI systems, GPAI, generative AI, Spanish AI law, and enforcement readiness.

Practical guidance on EU AI Act risk categories, Annex III classification, Article 50 transparency, AI Act implementation timeline, and compliance checklists.

Governance templates for AI inventories, provider/deployer role mapping, risk registers, conformity evidence, human oversight logs, and AI vendor due diligence.

Ethical AI compliance frameworks covering fairness, bias mitigation, explainability, transparency, accountability, human rights, and non-discrimination.

Spain-focused coverage of AESIA, GDPR, LOPDGDD, workplace AI regulation, equality rules, public sector AI use, and national enforcement bodies.

Scenario-based examples involving HR AI tools, generative AI, automated decision-making, AI chatbots, high-risk systems, biometric tools, and third-party AI vendors.

Final assessment and certificate of completion.

Certification

Upon successful completion of the course and final assessment, learners receive a certificate in EU AI Act and Ethical AI Compliance.

For Individuals: The certificate demonstrates knowledge of EU AI Act compliance, ethical AI principles, high-risk AI systems, GPAI governance, transparency duties, enforcement risk, and Spanish AI legal obligations.
For Corporate Teams: The certificate supports internal training records and helps demonstrate that employees have received structured instruction on AI Act readiness, responsible AI governance, and ethical AI compliance.

Why Choose Us

Keyword-Aligned AI Act Training: The course naturally covers the search terms learners use most, including EU AI Act, EU AI Act summary, EU AI Act compliance, EU AI Act PDF, EU AI Act Article 50, EU AI Act Annex III, EU AI Act high risk, EU AI Act implementation timeline, and ethical AI compliance.
Spain and EU-Focused Content: Training connects EU-level AI regulation with AESIA, GDPR, LOPDGDD, Spanish workplace rules, equality duties, public sector AI governance, and national implementation.
Practical Compliance Structure: Learners receive clear frameworks for AI inventory, risk classification, compliance evidence, human oversight, documentation, monitoring, and audit readiness.
GPAI and Generative AI Coverage: The course explains general-purpose AI, systemic-risk models, transparency, watermarking, synthetic content, downstream deployment, and fine-tuning responsibility.
Ethical AI Governance Approach: The programme goes beyond legal text by teaching fairness, explainability, trustworthiness, human rights, bias control, and organisational accountability.

Career Opportunities

Completion of this EU AI Act and Ethical AI Compliance course can support progression into AI governance, digital compliance, legal technology, privacy, risk, product governance, and responsible AI roles.

AI Governance Manager: Design AI oversight frameworks, risk classification processes, monitoring routines, and internal governance controls.
EU AI Act Compliance Specialist: Support organisations with AI Act compliance checklists, AI inventory mapping, provider/deployer duties, documentation, and audit preparation.
Ethical AI Compliance Officer: Lead fairness, transparency, explainability, human oversight, bias mitigation, and ethical risk assessment initiatives.
Data Protection Officer / Privacy Lead: Align AI systems with GDPR, LOPDGDD, automated decision-making rules, data minimisation, and lawful processing requirements.
AI Product Compliance Manager: Support product teams with risk classification, technical documentation, conformity assessment, CE marking, and post-market monitoring.
Generative AI Governance Lead: Manage GPAI use, synthetic content controls, prompt governance, model documentation, and downstream deployment risk.
AI Risk and Internal Audit Specialist: Review AI governance controls, third-party AI contracts, evidence files, monitoring records, and regulatory readiness.

Curriculum

Module 1: Introduction to EU AI Regulation

4 • 2 hours

1.1 Origins and Legislative Structure of the EU AI Act
1.2 Key Definitions and Regulatory Terminology
1.3 EU Digital Strategy and Alignment with Other Laws
1.4 Obligations for Providers, Deployers, Importers, and Distributors

Module 2: EU AI Act Risk Categories

4 • 2 hours

2.1 Prohibited AI Practices and Unacceptable Risk
2.2 High-Risk AI Use Cases and Classification Criteria
2.3 Transparency Rules for Limited-Risk AI
2.4 Minimal-Risk AI and Voluntary Best Practices

Module 3: High-Risk AI System Requirements

4 • 2 hours

3.1 Governance and Lifecycle Risk Management
3.2 Data Quality, Training Practices, and Bias Control
3.3 Documentation, Conformity Assessment, and CE Marking
3.4 Human Oversight, Monitoring, and System Reliability

Module 4: Governance of General-Purpose and Generative AI

4 • 2 hours

4.1 General-Purpose AI Models and Regulatory Scope
4.2 Systemic GPAI Obligations and Testing Requirements
4.3 Transparency, Watermarking, and Synthetic Content Rules
4.4 Responsibilities for Fine-Tuning and Downstream Deployment

Module 5: Enforcement, Risk, and Liability Frameworks

4 • 2 hours

5.1 Market Surveillance, Audits, and Regulatory Powers
5.2 Penalties, Fines, and Non-Compliance Consequences
5.3 Civil and Product Liability in AI-Driven Systems
5.4 Contractual Controls and Third-Party Risk Management

Module 6: Ethical AI Principles and Governance Structures

4 • 2 hours

6.1 Fairness, Non-Discrimination, and Human Rights Alignment
6.2 Transparency, Explainability, and Trustworthiness
6.3 Ethical Risk Assessment and Mitigation Techniques
6.4 Organizational AI Governance, Oversight, and Accountability

Module 7: Spanish AI Legal and Regulatory Framework

4 • 2 hours

7.1 Spain’s Implementation of the EU AI Act
7.2 GDPR, LOPDGDD, and National Data Protection Duties
7.3 Spanish Labor, Workplace, and Equality Regulations
7.4 National AI Strategy, Public Sector Rules, and Enforcement Bodies

Mock Exam

1 • 30 minutes

Mock Exam of the EU AI Act and Ethical AI Compliance Course

Final Exam

1 • 30 minutes

Final Exam of the EU AI Act and Ethical AI Compliance Course

Frequently Asked Questions

This course explains the EU AI Act and how organizations can manage AI systems responsibly while meeting regulatory and ethical requirements.

This course is suitable for professionals in Ai Development, Developers involved in implementing Ai and people in legal, compliance, management, consulting fields.

No. No prior experience in artificial intelligence development or programming is required to take this course.

Yes. Participants will receive a certificate of completion after successfully completing the course.

Yes. The Act has extraterritorial reach. If your AI output is used in the EU, you must comply.

Full requirements for high-risk systems become mandatory on August 2, 2026.

Data or transparency-related violations can trigger fines up to €20 million or 4% of annual turnover.

The EU AI Act is Regulation (EU) 2024/1689, a legal framework that sets harmonised rules for artificial intelligence across the EU. It classifies AI systems by risk and creates obligations for providers, deployers, and other AI value-chain actors.

Yes. The course covers EU AI Act compliance from risk classification to documentation, governance, human oversight, transparency, GPAI obligations, enforcement readiness, and audit preparation.

Yes. The course includes ethical AI principles such as fairness, non-discrimination, human rights alignment, explainability, transparency, trustworthiness, risk mitigation, and organisational accountability.

$59.00 ~~$95.00~~

This Course Includes

15 Hours
Access from mobile and PC
Study materials included
Certificate of completion