AIGP Author Preparation Course

AIGP Author Preparation Course, available at $99.99, has an average rating of 3.96, with 165 lectures, 5 quizzes, based on 41 reviews, and has 219 subscribers.

You will learn about Define key concepts, used by data protection laws Understand the differences among types of AI systems Understand the applicability of EU data protection legislation to AI (GDPR, AI act, AI clauses) Understand the core risks and harms posed by AI systems Understand the existing laws that interact with AI use Understanding key GDPR intersections Understand the similarities and differences among existing and emerging ethical guidance on AI Understand the basic elements of AI and ML This course is ideal for individuals who are Beginner, key concepts are explained from scratch or Data privacy professionals, who want to expand their understanding of AI It is particularly useful for Beginner, key concepts are explained from scratch or Data privacy professionals, who want to expand their understanding of AI.

Enroll now: AIGP Author Preparation Course

Summary

Title: AIGP Author Preparation Course

Price: $99.99

Average Rating: 3.96

Number of Lectures: 165

Number of Quizzes: 5

Number of Published Lectures: 157

Number of Published Quizzes: 5

Number of Curriculum Items: 176

Number of Published Curriculum Objects: 168

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Define key concepts, used by data protection laws
Understand the differences among types of AI systems
Understand the applicability of EU data protection legislation to AI (GDPR, AI act, AI clauses)
Understand the core risks and harms posed by AI systems
Understand the existing laws that interact with AI use
Understanding key GDPR intersections
Understand the similarities and differences among existing and emerging ethical guidance on AI
Understand the basic elements of AI and ML

Who Should Attend

Beginner, key concepts are explained from scratch
Data privacy professionals, who want to expand their understanding of AI

Target Audiences

Beginner, key concepts are explained from scratch
Data privacy professionals, who want to expand their understanding of AI

The course was completely restructured + new materials were added on July 1, 2024

Embark on a journey to mastering AI and Data Privacy with our cutting-edge course, designed by a highly experienced and multi-certified AIGP (obtained May 2024) CIPP/C, CIPP/A, CIPP/US, CIPP/E practitioner and university lecturer. With over a decade of practical experience and teaching, this course is tailor-made to transform complex concepts into easily digestible knowledge.

Why This Course?

Numerous students have already confirmed that using only this course helped them successfully pass the AIGP exam
Follows & Covers Body of Knowledge: Struggling to find materials for the AIGP prep certification? This course is your one-stop solution.

This AIGP course covers all 7 domains:
- Foundations of Artificial Intelligence
- AI Impacts and Responsible AI Principles
- Current Laws that Apply to AI Systems
- Existing and Emerging AI Laws and Standards
- The AI Development Life Cycle
- Implementing Responsible AI Governance and Risk Management
- Contemplating Ongoing Issues and Concerns
The course is structured to explain all on logical order, because it is my author method not only to help you master exam, but also get knowledge to apply this knowledge in your work. So that you are prepared for the exam in full.
Comprehensive Materials: Access well-organized printed materials and examples to supplement your learning. Students say “It provides deeper lectures and materials even then official one!”
Learn from a seasoned data privacy activist and expert who simplifies complex compliance concepts.
Comprehensive coverage of key IAPP body of knowledge topics, ensuring a well-rounded understanding.
Explanations and examples, to help you understand and be prepared for IAPP exam tasks.
Course is designed for people with different backgrounds(legal/ tech): for some topics there are overview video (for students who are familiar with the topic) and detailed lectures (for students who don’t know about the topic)
Course from 0 to “ready for exam”
Extra unit for students unfamiliar with US Privacy System to prepare you for tricky questions in AIGP test
Final test with 101 questions and explanations for you to check your knowledge

What Will You Learn?

AI Essentials: Understand what AI is, its various types, machine learning categories, and the AI lifecycle.
Historical Context: Gain insights into the history of AI and its evolution.
Global AI Frameworks: Explore major AI regulations such as the EU AI Act, Cyberspace Administration of China’s draft regulations on generative AI, and Canada’s AI and Data Act (C-27), USA state laws.
In-Depth GDPR Analysis: Delve into the principles of GDPR, understanding its implications and applications.

Course Features:

Engaging Content: The course content is designed to be engaging and accessible, breaking down complex AI and privacy law concepts.
Practical Insights: Benefit from the instructor’s real-world experience, offering practical tips and actionable advice.
Supportive Learning Environment: Get your questions answered with ongoing support from the instructor.

Additional Benefits:

Flexible Learning: Opt for extra lectures if you wish to dive deeper into specific topics.
Comprehensive Materials: Access well-organized printed materials and examples to supplement your learning.
Extra Readings: While not mandatory, additional recommended readings are available for those who want to further their knowledge.
Extra Content: Explore extra topics and exclusive materials compiled by the author.
One-stop-course, regularly updated: No need to purchase a new course to stay current or to do research for other materials.

Once the Body of Knowledge is updated and the new version is approved, this course will be promptly updated to reflect the latest changes.

About the Instructor: The course is authored by a distinguished lecturer in university, academic with experience in various universities across the USA, UK, and Europe, currently serving as a Head of data protection department in a global company. This background ensures a blend of academic rigor and practical relevance.

Author successfully used her own course to pass AIGP certification

Disclaimer: This course is NOT sponsored, endorsed andor affiliation with IAPP, and is specifically designed by the

author for IAPP-administered certification exams.

Join Us: Whether you’re preparing for the AIGP IAPP certification or looking to enhance your understanding of AI and data privacy, this course is designed to equip you with the knowledge and skills you need. Get ready to jump-start your compliance journey with us!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Useful vocabulary

Lecture 3: AI Actors course notes

Chapter 2: Domain 1. Understand the basic elements of AI and ML

Lecture 1: Notion of Artificial Intelligence

Lecture 2: Elements of Artificial Intelligence

Lecture 3: the basics of machine learning and its training methods

Lecture 4: Key OECD developments in AI sphere

Lecture 5: OECD terms interpretation (Recommendation of the Council on AI)

Lecture 6: OECD Classification of AI systems

Chapter 3: Domain I. Understand the differences among types of AI systems

Lecture 1: Types of AI:strong & broad and weak & narrow AI.

Lecture 2: Types of AI models based on structure

Lecture 3: Other classifications

Lecture 4: Robotics and AI in the Fourth Industrial Revolution

Lecture 5: Understanding the differences between robotics and automation

Lecture 6: Machine perception

Lecture 7: Robotic Process Automation (RPA)

Chapter 4: Domain I. Understand the AI technology stack

Lecture 1: Platforms and applications.

Lecture 2: Model types.

Lecture 3: Compute infrastructure: software and hardware (servers and chips)

Chapter 5: Domain I. Understand the history of AI and the evolution of data science

Lecture 1: The Cyclical History of Artificial Intelligence

Chapter 6: Domain I.Understand the AI technology stack

Lecture 1: Leveraging Artificial Intelligence in Business Operations

Lecture 2: Intersection of AI and Cloud Computing

Chapter 7: Domain II –Understand the core risks and harms posed by AI systems

Lecture 1: The Vulnerabilities, Threats, and Challenges of AI Systems

Lecture 2: Read to understand better: Fairness in AI

Lecture 3: Risks to human rights

Lecture 4: Responsible AI principles

Chapter 8: Domain II Bias in AI systems

Lecture 1: Bias & types

Lecture 2: Alternative Taxonomy of biases by EU Parliament

Lecture 3: Sampling bias: short notes

Lecture 4: Tools and Strategies to Mitigate Bias

Chapter 9: Domain II. The characteristics of trustworthy AI systems

Lecture 1: The characteristics of trustworthy AI systems

Chapter 10: Domain II. Similarities and differences among existing and emerging ethical guid

Lecture 1: Fair Information Principles

Lecture 2: The ethical guidance in Fair Information Principles and OECD principles

Lecture 3: Watch OECD Lecture: Shaping Trustworthy AI

Lecture 4: Understanding the Blueprint for an AI Bill of Rights

Lecture 5: High-level Expert Group AI role

Lecture 6: Asilomar principles

Lecture 7: A Comparative Analysis of Major Guidelines

Lecture 8: Unesco Principles"Recommendation on the Ethics of Artificial Intelligence"

Lecture 9: ISO/IEC TR 24028:2020 Brief overview

Chapter 11: Domain III. Existing laws that interact with AI use

Lecture 1: The laws that address unfair and deceptive practices

Lecture 2: Federal Trade Commission

Lecture 3: Relevant non-discrimination laws

Lecture 4: Relevant product safety laws.

Lecture 5: Relevant IP law.

Chapter 12: Domain III. USA: Sectoral laws relevant to exam

Lecture 1: Employee protection

Lecture 2: Constitutional protections,State, contract and tort law

Lecture 3: Federal Laws protecting employee privacy

Lecture 4: Right to financial privacy

Lecture 5: GLBA

Lecture 6: FCRA

Lecture 7: FCRA: what is consumer report?

Lecture 8: FCRA: Rules for credit report agencies

Chapter 13: Domain III. GDPR and AI: key terms of GDPR

Lecture 1: Key definitions:intro

Lecture 2: What is personal data?

Lecture 3: Which data needs special protection: Sensitive personal data

Lecture 4: Who is data controller?

Lecture 5: who is data processor?

Lecture 6: Processing and data subject

Lecture 7: PETS: lecture

Chapter 14: Domain III.Understanding How Current Laws Apply to AI Systems: GDPR aspect

Lecture 1: Scope of GDPR

Lecture 2: Material scope of GDPR

Lecture 3: Territorial scope of GDPR

Chapter 15: Domain III Data protection principles (GDPR) that AI should comply with

Lecture 1: Intro to principles: what is that and why AI apps have to follow them?

Lecture 2: Lawfulness, fairness, transparency

Lecture 3: Fairness & AI

Lecture 4: Transparency and AI

Lecture 5: Purpose limitation

Lecture 6: Data minimalization and purpose limitation

Lecture 7: Lawfulness & Data minimalization & Purpose limitation and AI

Lecture 8: Integrity and confidentiality

Lecture 9: Accuracy

Lecture 10: Accuracy and AI

Lecture 11: Accountability

Lecture 12: Accountability and AI

Chapter 16: Domain III. GDPR and Rights in Connection to Automated decision- making

Lecture 1: What is automated individual decision-making and profiling?

Lecture 2: GDPR & AI & automated decision-making

Chapter 17: Domain III. Liability Reform

Instructors

Prof. Ksenia Laputko
Head of data protection department, lecturer at university

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 11 votes
4 stars: 9 votes
5 stars: 18 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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