Ethically Responsible and Secure AI with
Privacy Regulations

A Comprehensive Course on Security for AI and Generative AI with Data privacy regulations

Course Summary

The course comprises five modules covering foundational AI concepts, ethical considerations, international cyber laws, and regulatory frameworks. Participants delve into AI regulations such as the EU AI Act and NIST AI Risk Management Framework, learning practical applications through real-world case studies.

Key topics include securing AI systems, mitigating risks during training, and leveraging generative AI techniques against threats like phishing and malware. The course equips learners with essential knowledge to navigate the dynamic landscape of AI, security for AI, and Data Privacy effectively

Course Summary

Course Duration :

4 Months / 60 Hours

Course Method :

Virtual : Weekend sessions for 4 months

11am - 3pm Every Saturday - 4 Hours

Physical : (Optional) 1 day closing sessions

Course Fees :

$1080 or INR 90, 000 ( Inaugural Offer)

Industry Leaders as Instructors or Mentors

Group Learning Assessments (50%)

Wok shops, case studies, articles, and labs

Periodic individual skill Assessments (50%)

Multiple Choice based assessments

Express Your Interest

Course Outline

Module 1

Introduction AI
and Generative AI

9 Hours

Introduction to artificial intelligence

Supervised and unsupervised machine learning with demo use cases

Introduction to Generative AI

Developing Generative AI models
Using AI models and Generated Content Responsibly
Getting ready for the age of Generative AI

Module 2

Ethical and
Responsible AI

12 Hours

Introduction to artificial intelligence

Supervised and unsupervised machine learning with demo use cases

Introduction to Generative AI

Developing Generative AI models
Using AI models and Generated Content Responsibly
Getting ready for the age of Generative AI

Course Outline

Coure Outline

Module 1 9 hours

Introduction AI and Generative AI - 9 Hours

Module 2 12 hours

Ethical and Responsible AI

Ethics and Responsible AI
Introduction to Ethics of AI and Responsible AI
Case studies
Issues and challenges

Module 3 9 hours

AI Regulation and Framework - 9 Hours

EU AI Act – Overview and Case Study
NIST AI Risk Management Framework – Overview and Case Study
ISO 42001 AI Management System – Overview and Case Study
Google Secure AI Framework (SAIF) Overview and Case study

Module 4 15 hours

AI and Cybersecurity

Fundamentals of AI for Security
Actors in the Cyber Security ecosystem and how Artificial Intelligence impacts their roles
Securing a Machine Learning System
Mitigating Risk at Training by Validating and Maintaining Datasets
Detecting and Analysing Anomalies
Network-level threats and mitigation using machine learning
IoT threats and mitigation using machine learning
Emerging threats and mitigations

Generative AI and cybersecurity

Fundamental concepts of Generative AI in cybersecurity.
Apply generative AI techniques to real-world cybersecurity scenarios (UBEA, threat intelligence, report summarization, and playbook)
Assess the use of generative AI in cybersecurity against threats (i.e. phishing and malware)
Understand potential NLP-based attack techniques.
Mitigate attacks on generative AI models -real-world case studies

Module 5 15 hours

Global Regulations and Frameworks for Data Privacy

Cyber Security and Data Privacy Laws in US

US - Federal Cybersecurity and Data Privacy Laws
Gramm-Leach-Bliley Act (GLBA)
Health Insurance Portability and Accountability Act (HIPAA)
Federal Information Security Modernization Act (FISMA)
Federal Risk and Authorization Management Program (FedRAMP)
Children’s Online Privacy Protection Act (COPPA)

Cybersecurity and Data Privacy Laws in Europe:

General Data Protection Regulation (GDPR)
Network and Information Systems Directive (NIS Directive)
ePrivacy Regulation
Payment Services Directive 2 (PSD2)
Cybersecurity Act

Cybersecurity and Data Privacy Laws in Canada:

Personal Information Protection and Electronic Documents Act (PIPEDA)
Digital Privacy Act
Canada’s Anti-Spam Legislation (CASL)

Cybersecurity and Data Privacy Laws in APAC

Personal Data Protection Act (PDPA) - Singapore
Cybersecurity Law of the People's Republic of China
Information Technology Act, 2000 - India
Privacy Act 1988 - Australia
Personal Information Protection Act (PIPA) - Japan

Why CloudSecGuru?

Why cloudsecguru

What makes us unique?

Top 3 factors that makes us unique

Get Insights from Industry Experts : Network with Industry experts & leaders of cyber security industry

Drive Deep with practical use cases : Industry use cases that help understand the concepts practically

Engage in Fun filled learning: interactive engagement and gamification to learn skills with fun

The platform

CloudSecGuru is a unique platform for security professionals and students alike to learn the cybersecurity concepts, tools, and best practices while having fun. The organization stands to providing Comprehensive, Effective, Engaging and Accessible Cyber Security Education to Create a Secure and Safe Technology Ecosystem.

Who is this course for?

Who is this for?

Seniors looking for leadership growthTo understand and build strategic, functional & technical programs to enhance cyber security programs

Professionals interested in upskillingTo gain competitive advantage by learning emerging requirements, technologies, ideas, and approaches in cyber security and cyber laws