AB Yapay Zekâ Yasası (AI Act) 2026: Uygulamalı Kurs

AB Yapay Zekâ Yasası (AI Act) 2026: Uygulamalı Kurs by Dr. Amar Massoud is a comprehensive Udemy training that equips compliance professionals with hands‑on tools to meet the EU AI Act deadlines. Updated July 2026, this free‑coupon‑eligible online course covers classification, technical documentation, impact assessments, and an 18‑month implementation roadmap. Learners gain practical templates, real‑world case studies, and a certification‑ready skill set for AI governance.

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What You'll Learn

• Build a full AI‑system inventory and classify every model according to Md. 6, Annex III, and the Md. 6(3) exemption test.
• Master the creation of Annex IV technical files from scratch, including required content and responsible parties.
• Learn how to draft Md. 13 usage instructions and Md. 26 implementer evidence dossiers for AI deployments.
• Understand the scope and execution of Fundamental Rights Impact Assessments (FRIA) under Md. 27 and align them with GDPR DPIA requirements.
• Create a harmonized evidence matrix that links FRIA, DPIA, and ISO 27001/42001 controls to avoid duplicate work.
• Implement the correct conformity‑assessment path—internal control (Annex VI) versus third‑party assessment (Annex VII).
• Apply the General‑Purpose AI Model obligations in Md. 53 and use the AI Act Implementation Rules for compliance.
• Analyze the three‑tier sanction framework of Md. 99 and map it onto your organization’s risk‑heat map.

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Course Details

• Instructor: Dr. Amar Massoud (Türkçe)
• Language: Turkish (tr‑TR)
• Certificate: Yes, upon completion
• Includes: 7 units with 33 video lessons, 5 fully solved assignments, 23 downloadable Word templates, 7 practice tests (≈ 50 questions)

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What This Course Covers

1. AI System Classification & Exemption Testing

• Detailed walkthrough of Md. 6 definitions and Annex III risk categories.
• Step‑by‑step execution of the Md. 6(3) exemption test for low‑risk AI.
• Practical decision‑tree templates for rapid classification.
• Real‑world example using Lumora HR’s pre‑screening algorithm.

2. Technical Documentation (Annex IV)

• Required sections of the Annex IV technical file and their legal basis.
• How to compile system architecture, training data, and performance metrics.
• Templates for a complete table of contents and version control.
• Alignment with ISO 42001:2023 management‑system controls.

3. Usage Instructions & Implementer Evidence (Md. 13 & Md. 26)

• Crafting clear user manuals that satisfy Md. 13 obligations.
• Collecting and presenting implementer evidence for AI providers.
• Mapping evidence to the AI Act’s conformity‑assessment procedures.
• Sample evidence dossier for a general‑purpose language model.

4. Fundamental Rights Impact Assessment (FRIA) & DPIA Alignment

• Defining the FRIA scope under Md. 27 and identifying affected data subjects.
• Integrating FRIA findings with GDPR DPIA documentation.
• Using the provided FRIA form to assess bias, discrimination, and privacy risks.
• Case study: Conducting FRIA for an automated hiring tool.

5. Conformity‑Assessment Pathways (Annex VI & VII)

• Comparing internal control (Annex VI) versus third‑party assessment (Annex VII).
• Decision criteria based on risk level, resource availability, and market exposure.
• Preparing audit‑ready documentation for each pathway.
• Checklist for successful submission to national supervisory authorities.

6. General‑Purpose AI Model Obligations (Md. 53)

• Interpreting the AI Act’s model‑provider duties and transparency requirements.
• Building a supplier‑evidence matrix for model provenance and testing.
• Applying the AI Act Implementation Rules to mitigate compliance gaps.
• Example of negotiating contractual clauses with an AI model vendor.

7. Sanctions, Risk Heat‑Map, and 18‑Month Roadmap

• Breaking down the three sanction tiers of Md. 99 and their financial impact.
• Constructing a risk heat‑map that visualizes potential fines and reputational loss.
• Designing an 18‑month compliance roadmap aligned with the post‑Omnibus timeline (Dec 2027).
• Final project: Presenting the roadmap to a mock board of directors.

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Who Should Take This Course

• Compliance officers and AI‑governance leads preparing for the EU AI Act deadlines in 2027‑2028.
• Data protection officers extending GDPR programs to include AI‑risk assessments.
• Internal auditors and risk managers responsible for AI control frameworks.
• GRC consultants advising European clients on AI Act readiness.
• Team leads tasked with delivering an AI‑compliance implementation plan for their organization.

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Prerequisites

• Familiarity with GDPR concepts, especially DPIA and Article 6 processing bases.
• Basic understanding of management‑system standards (ISO 27001 or ISO 9001) is helpful but not mandatory.
• No deep technical machine‑learning knowledge required; curiosity about AI governance is sufficient.

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Why Enroll in This Course

This Udemy training delivers a ready‑to‑use compliance toolkit, eliminating the need to search for scattered legal resources. A free coupon provides 100 % off for a limited time, making the course accessible to organizations of any size. The curriculum focuses on actionable deliverables rather than academic theory, ensuring you can start building AI‑act‑ready documentation immediately. Compared with generic AI ethics tutorials, this program targets the specific legal text, deadlines, and practical forms that regulators demand.

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Course Highlights

• Lifetime access to all video lessons, templates, and practice tests, allowing continuous reference.
• Self‑paced learning lets you progress according to your organization’s compliance calendar.
• Certificate of completion validates your AI Act expertise for employers and clients.
• 30‑day money‑back guarantee provides risk‑free enrollment if expectations are not met.
• Mobile‑friendly platform enables study on any device, perfect for busy professionals.
• Real‑world case study based on a Berlin‑based HR tech company, illustrating end‑to‑end compliance.

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Frequently Asked Questions

Q: Is this course really free?
A: