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Master AIGP from zero to pass

Name: Master AIGP from zero to pass
Rating: 4.7 (5 reviews)

New course for preparing for Body of Knowledge 2.0 active February 2025

Created byKsenia Laputko

Last updated 3/2026

English

English [Auto],

What you'll learn

Prepare fully for AIGP Body of Knowledge 2.0
Understand the foundations of AI governance
Understand how privacy, intellectual property, non-discrimination, consumer protection laws apply to AI
Understand the key elements of the first AI regulation in the world- EU AI Act
Understand which industry standards and tools apply to AI (NIST AI RMF, ISO, HUDERIA, NIST ARIA, etc)
Understand how to do AI governance at all stages of AI model development.
You would be fully prepared to actual work as AI Officer in business

Course content

5 sections • 21 lectures • 7h 7m total length

Introduction6:40
Master ai governance and data protection exam strategies, balancing theoretical and scenario-based questions, with elimination tactics, regulatory context, and concise, question-first analysis.

What is AI: term, features, types, risks46:38
Explore what artificial intelligence is, its core definitions, types, training methods, and key risks, including governance considerations for responsible and trustworthy AI.
Establish and communicate organizational expectations for AI governance.50:02
Establish and communicate organizational expectations for ai governance by engaging diverse stakeholders early and defining clear roles for leadership, teams, and end users.
Establish policies and procedures to apply throughout the AI life cycle.35:25
Govern policies across the AI life cycle—from planning to post-implementation—covering data preparation, privacy enhancing technologies, model development, deployment options, and documentation for trustworthy AI.
Domain 1 Test.
Not obligatory lecture: Biases4:06
Extra: Types of AI systems1:50

Understand how existing data privacy laws apply to AI.33:21
Explore how data privacy laws intersect with artificial intelligence, covering GDPR principles, consent, privacy by design, data protection impact assessment (DPIA), data subject rights, automated decision making, and cross-border transfers.
Understand how other types of existing laws apply to AI.46:55
Navigate how existing laws apply to AI, from copyright, data protection, and sector regulations to AI-specific rules like the EU AI Act and the AI Liability Directive.
Product Liability Directive EU5:31
Understand the main industry standards and tools that apply to AI.36:37
Explore the main AI industry standards and tools, including ISO 31000 risk management guidelines, Asilomar Principles, OECD AI principles, WHO standards, and NIST AI RMF.
ISO 42001:2023 Overview2:58
Understand the main requirements of the EU AI Act (updates)28:05
Learn how the EU AI Act defines scope, exemptions, and roles, and applies a risk-based approach—from prohibited and high-risk to limited-risk systems—plus enforcement, penalties, and compliance obligations.
EU AI Act: High-risk systems documentation requirements1:49
EU AI Act: All you need to know about general purpose AI models4:01
Course notes: EU Act prohibited systems3:10
Course notes: EU AI Act: AI literacy0:22
Bonus: Canada proposed "The artificial intelligence and data act (AIDA)"2:42

Govern the designing and building of the AI model.45:52
Explore AI governance across the full life cycle, compare centralized, decentralized, and hybrid models, and define business context, stakeholders, risk assessment, and human oversight for responsible model design.
Govern the collection and use of data in training and testing the AI model.20:39
Govern the collection and use of data in training and testing AI models by enforcing data protection, bias audits, and comprehensive testing across accuracy, robustness, privacy, interpretability, and safety.
Govern the release, monitoring and maintenance of the AI model.23:44
Govern the release, monitoring, and maintenance of AI models by enforcing data security, privacy compliance, data lineage, documentation, testing, risk assessment, incident response, and deactivation procedures.
Test your knowledge

Requirements

No prior AI knowledge required. You would learn everything from scratch.

Description

Are you looking for truly easy AIGP course? Here it is! My experience with previous course allowed me to craft this easy-one-stop-shop for everyone! Its specifically done to help you master BoK 2.0 of 2025. Want to grab a discount ? Visit my Linkedin page, the discount codes are posted there or via private messages.

This course is your ultimate preparation tool for the new AIGP certification exam, updated to align with the 2025 Body of Knowledge launching in February. Designed for easy and digestible learning, it aims to fully equip you with the knowledge and skills to pass the exam with confidence.

Unlike other courses that overwhelm you with irrelevant or AI-generated content, this course draws from a rich variety of trusted sources, including authoritative books, articles, and real-world insights from experienced AI officers. We've meticulously crafted this course to explain every detail of the Body of Knowledge without contradictions or unnecessary complexity.

Why chose us:

Structured to match the exam domains
Each domain from the Body of Knowledge is covered in dedicated video lectures, packed with essential information, flowcharts, and practical advice.

Domain I: Understanding the foundations of AI governance

I.A Understand what AI is and why it needs governance

I.B Establish and communicate organizational expectations for AI governance

I.C Establish policies and procedures to apply throughout the AI life cycle

Domain II: Understanding how laws, standards and frameworks apply to AI

II.A Understand how existing data privacy laws apply to AI

II.B Understand how other types of existing laws apply to AI

II.C Understand the main elements of the EU AI Act

II.D Understand the main industry standards and tools that apply to AI

Domain III: Understanding how to govern AI development

III.A Govern the designing and building of the AI model

III.B Govern the collection and use of data in training and testing the AI model

III.C Govern the release, monitoring and maintenance of the AI model

Domain IV: Understanding how to govern AI deployment and use

IV.A Evaluate key factors and risks relevant to the decision to deploy the AI model

IV.B Perform key activities to assess the AI model

IV.C Govern the deployment and use of the AI model

2. Comprehensive course materials
Receive detailed course notes to make your revision stress-free and effective.

3. Interactive learning
Engage with tasks and tests specifically designed to reinforce your understanding and assess your progress.

4. Targeted reading materials
Each section includes carefully selected resources to deepen your knowledge. Acts, guidances, books pieces and articles.

5. Expert guidance
The course is led by a seasoned university lecturer and practitioner, ensuring you receive expert support and have all your questions addressed personally unlike other on-demand courses.

Who this course is for:

Students and researchers preparing for IAPP AIGP exam
Privacy professionals expanding their knowldege to AI
Managers, founders planning to implement AI in their companies
individuals pursuing career of AI Officer in business

Master AIGP from zero to pass

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 7min

Domain 1. The foundations of AI governance5 lectures • 2hr 18min

Domain 2. Understanding how laws, standards and frameworks apply to AI11 lectures • 2hr 46min

Domain 3. Understanding how to govern AI development3 lectures • 1hr 30min

Domain 4.Understanding how to govern AI deployment and use1 lecture • 27min

Requirements

Description

Who this course is for: