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Learning Outcome

• Analyse how generative AI transforms cyber threats, defence strategies, and the overall cybersecurity risk landscape.
• Identify, assess, and mitigate AI-specific threats including deepfakes, prompt injection, phishing, and data poisoning attacks.
• Apply generative AI techniques to enhance threat detection, incident response, vulnerability management, and security operations.

• Evaluate ethical, legal, and governance considerations for responsible deployment of generative AI in cybersecurity environments.
• Design secure AI systems using best practices in data hygiene, adversarial testing, and supply chain risk mitigation.
• Anticipate future cybersecurity challenges by assessing emerging technologies, regulatory trends, and GenAI-driven threat evolution.

• Understand the fundamental principles of ChatGPT and how it works.
• Master prompt engineering techniques to create high-quality, targeted content.
• Apply ChatGPT in blogging, copywriting, and book creation to produce compelling and engaging material.
• Analyze and troubleshoot common issues with ChatGPT and understand its limitations.
• Implement ChatGPT for business applications, such as marketing ads, business planning, and productivity enhancement.

Sneak Peek

https://youtu.be/0itY8yvU-9chttps://vimeo.com/1090387788?share=copy#t=0

Course Overview

AI for Cybersecurity: 99+ Generative AI Lessons is an advanced, future-focused programme designed to equip learners with a deep and practical understanding of how generative artificial intelligence is reshaping the cybersecurity landscape. As cyber threats evolve in sophistication, speed, and scale, this course explores how GenAI simultaneously amplifies adversarial capabilities and strengthens defensive resilience. Learners are guided through the transformation of cyber threats, comparing traditional attack vectors with AI-enhanced techniques such as deepfakes, AI-powered phishing, prompt injection, data poisoning, and automated malware development.

The course moves beyond theory to examine real-world applications of generative AI in cybersecurity defence, including threat detection, incident simulation, vulnerability management, digital forensics, identity protection, and security operations. Ethical, legal, and regulatory dimensions are embedded throughout, ensuring learners understand responsible deployment, privacy protection, governance frameworks, and global compliance expectations. Advanced topics such as AI-driven SOAR, quantum-era security challenges, predictive threat intelligence, and future GenAI-enabled risks prepare learners to think strategically and proactively.

A strong emphasis is placed on secure AI system development, adversarial testing, data hygiene, and safeguarding AI supply chains and intellectual property. The programme also addresses the human and socioeconomic impact of GenAI, from workforce transformation to public trust and cybercrime economics. By combining practical case studies, forward-looking analysis, and applied security strategies, this course empowers learners to confidently leverage generative AI while mitigating its risks. It is designed for professionals seeking to remain relevant, resilient, and leadership-ready in an AI-driven cybersecurity era.

Who Is This Course For?

• Cybersecurity Analysts
• SOC Professionals
• IT Security Managers
• AI and Machine Learning Practitioners
• Digital Forensics Specialists
• Risk and Compliance Professionals
• Technology Consultants
• Cybersecurity Students and Career Switchers

Requirements

• Basic understanding of cybersecurity concepts
• Familiarity with general IT systems and networks

Course Instructor

Dr. Peter Alkema

Dr. Peter Alkema is a highly accomplished leader in Digital Transformation and Architecture, with extensive experience in both the corporate and academic spheres. Over the course of his career, he has garnered recognition as the Gartner CIO of the Year in 2016 and has been featured on CNBC Africa. Dr. Alkema is also the founder and leader of South Africa’s largest banking hackathon, which was later published as a case study by Harvard Business School in 2019.

With a passion for technology, business, and self-development, Dr. Alkema has taught over 100,000 students across various disciplines. His academic journey culminated in a PhD from Wits University in Johannesburg in 2020, where he introduced a pioneering theory on Agile software development teams.

In addition to his work in digital transformation and academia, Dr. Alkema authored a woodworking book in 2014, which sold over 10,000 copies, showcasing his diverse expertise.

Driven by a commitment to providing impactful education, Dr. Alkema’s goal is to empower professionals and learners to embrace the future of technology and business. His courses are designed to offer clear, concise, and actionable insights, helping students gain the confidence and knowledge they need to succeed in today’s fast-evolving landscape.

Accreditation

This course is accredited by CPDQE. The demand for professionals to engage in Continuing Professional Development is escalating, irrespective of the industry, career stage, or job function. CPD serves as an impactful mechanism for skill enhancement, maintaining the relevance of academic credentials, and strategically advancing one’s career. 

This CPDQE Certified Course will ensure that you have obtained the required CPD trainings for your professional development.

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Frequently Asked Questions

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