Artificial Intelligence Risk And Cyber Security Course 2022

Learn how to govern and secure Artificial Intelligence and Machine Learning systems

What you'll learn

Artificial Intelligence and Machine Learning risks

How to create an AI governance framework

Cyber-security risks of AI systems

How to implement controls in a ML model lifecycle

Requirements

No prior knowledge of AI or Machine Learning needed

No programming or data science experience needed

Description

Artificial Intelligence (AI) is causing massive changes in our lives both at the individual and societal level with the global A.I. market expected to reach around 126 billion U.S. dollars by 2025. As more and more decision making is handled by AI systems, new and unique risks are being introduced due to rapid A.I. adoption.AI governance and cyber-security is a new field for many professionals due to the (seeming) complexity around it. According to Gartner's Market Guide for AI Trust, Risk and Security Management “AI poses new trust, risk and security management requirements that conventional controls do not address.” This groundbreaking course has been addressed to cover this gap so that risk management professionals and cyber-security experts can understand the unique nature of AI risks and how to address them.Are you interested in learning about the new risks which Artificial Intelligence (AI) and Machine Learning introduces ?Do you want to know how to create a governance and cyber-security framework for AI ? If you answered YES then this course is for you ! This course is specifically designed to teach you about AI risks without any prior knowledge assumed. No technical knowledge of AI systems is required for this course.With you course you will learn :The key risks which AI and Machine Learning models introduce and how to address themHow to create a governance framework in your organization to enable AI risk managementThe cyber-security risks which AI systems introduce and how to address themHow to implement security controls at each phase of the Machine Learning lifecycleLets get started !

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: AI Overview

Lecture 2 Overview of AI

Lecture 3 Machine Learning Overview

Section 3: AI Governance and Risk Management

Lecture 4 Need for AI Governance

Lecture 5 AI bias

Lecture 6 AI regulations

Lecture 7 AI Governance framework

Section 4: AI cyber-security framework

Lecture 8 AI cyber-security risks

Lecture 9 AI based attacks

Lecture 10 AI cyber-security framework

Lecture 11 AI based security testing

Section 5: Way forward

Lecture 12 Conclusion

Risk management professionals,Cyber-security experts who want to understand AI controls,AI professionals wanting to understand risks in their field