AI and Cybersecurity
Upskilling Course, 40 Academic Hours
Advance your cyber skills with AI
- Level: Intermediate
As AI continues to transform every industry, cybersecurity is evolving faster than ever. AI is both a powerful tool and a potential threat – capable of automating defenses, detecting anomalies, and even launching sophisticated attacks. Understanding how AI reshapes the cyber landscape is essential for every cybersecurity professional.
Wawiwa’s AI and Cybersecurity course, designed for individuals with an IT or cybersecurity background, explores the growing role of AI in the cyber landscape. It covers AI-driven threats, attack techniques, and defensive strategies, while examining how AI is integrated into modern cybersecurity tools and frameworks.
By enrolling in this course, you're gaining practical experience in applying AI to cybersecurity challenges - strengthening your ability to predict, prevent, and respond to evolving threats with cutting-edge, AI-driven solutions.
Who Is This Course For?
- IT students seeking AI cybersecurity knowledge
- Cybersecurity pros wanting to expand into AI-based offense and defense
- Anyone curious about how AI is transforming cybersecurity
Prerequisites
- Basic understanding of IT concepts
- Knowledge of cybersecurity fundamentals, such as firewalls, encryption, authentication, and basic threat models
- Exposure to machine learning concepts (e.g., supervised and unsupervised learning) is beneficial but not mandatory
Learning Objectives
- Explain fundamental concepts of AI and ML and their relevance to cybersecurity
- Gain hands-on experience using AI to simulate real-world cyberattacks and defenses
- Understand how AI is applied in offensive cybersecurity, including attack vectors and vulnerabilities
- Develop practical skills in using AI-driven cybersecurity tools and integrating ML models into cybersecurity frameworks
- Analyze the ethical, legal, and future implications of AI in cybersecurity
What You'll Get...
- Course presentations as a PDF file
- Cheat sheets and useful documentation
- 16 hours of practical learning experience through hands-on activities and projects
- A Wawiwa certificate upon successful completion of the course
Professional Supervisor and Instructors
Supervising all Wawiwa Cyber courses is Mr. Nadav Nachmias, Head of Cybersecurity Programs at Wawiwa.
The course instructors are cybersecurity professionals with hands-on experience as well as training skills. The technical level of the course can be adjusted according to the audience.
Nadav Nachmias
Head of Cybersecurity Programs
Nadav is a Cybersecurity Specialist with over 15 years of experience, focusing on Cybersecurity strategies, architecture, and workforce empowerment. His practical experience made it intuitive for him to develop diverse training programs and materials in several Cybersecurity fields (including Cybersecurity Management, Incident Handling and Response, and Cyber Forensics).
What Do Graduates Have to Say?
"I always found interest in cybersecurity. I had a passion for this huge field that keeps evolving. I looked for courses online, and found that most of them are very hands off, a video running on a website. Then I found Wawiwa’s Cybersecurity program. I registered and throughout the program, actually found myself looking forward to class. It’s a live session, with a lot of practical work, working on real-life cyber tools and experiencing what they can do. The instructors have real-life stories and examples from the field to get points across. It makes the program really exciting!”
Course Syllabus
Module 1: Introduction to AI in Cybersecurity
4 Theoretical Hours, 1 Practical Hour
- Basic concepts of AI, ML, and their relevance to cybersecurity
- Key AI algorithms: supervised, unsupervised, reinforcement learning
- Evolution of AI in the tech and cybersecurity landscape
- Hands-on practice with AI frameworks and tools (e.g., Google AI, TensorFlow)
- Build a simple ML model for cybersecurity tasks
Module 2: AI in Cyber Attack Vectors
4 Theoretical Hours, 3 Practical Hours
- Use of AI in phishing, malware, ransomware, deepfakes, and DDoS attacks
- AI’s impact on emerging attack vectors and tactics
- Role of deep learning in evading detection
- Hands-on practice with AI-driven attack simulation tools
- Simulate AI-powered phishing campaigns and malware
- Create DDoS attack patterns with ML tools
Module 3: Offensive AI Methods and Practices
4 Theoretical Hours, 3 Practical Hours
- AI-driven vulnerability scanning and automated exploitation
- Use Generative Adversarial Networks (GANs) in offensive cybersecurity
- AI in social engineering: leveraging NLP and data analysis for attacks
- Hands-on penetration testing with AI-based tools
- Explore AI-based vulnerability scanning and exploitation techniques
- Simulate AI-driven social engineering tactics with NLP tools
Module 4: AI in Cyber Defense and Security
4 Theoretical Hours, 4 Practical Hours
- AI for Intrusion Detection Systems (IDS)
- AI for anomaly detection, endpoint security, and autonomous threat hunting
- Case studies: AI-driven defense mechanisms in real-world scenarios
- Hands-on practice with AI-based IDS
- Set up and test anomaly detection models using ML
- Analyze network traffic with AI and identify security threats
Module 5: AI Integration in Cybersecurity Tools
3 Theoretical Hours, 3 Practical Hours
- Overview of AI-driven tools: Darktrace, Cylance, CrowdStrike
- Role of AI in Security Information and Event Management (SIEM)
- How ML models improve threat detection and response
- Hands-on practice with AI security tools (e.g., Darktrace, Cylance, CrowdStrike)
- Integrate ML models into SIEM systems (e.g., Splunk)
- Enhance real-time threat detection with AI
Module 6: Ethics, Legal, and Future Directions
4 Theoretical Hours, 1 Practical Hour
- Ethical issues in AI cybersecurity: privacy, misuse, accountability
- Legal frameworks and regulations for AI in cybersecurity
- Future trends and challenges in AI-driven cybersecurity
- Group discussions and case studies on AI ethics
- Debate the legal and ethical implications of AI-based offense and defense
Module 7: Capstone Project and Course Wrap-Up
1 Theoretical Hour, 1 Practical Hour
- Review of key course concepts and practical takeaways
- Explore future trends in AI and cybersecurity
- Capstone project: configure or develop an AI-powered cybersecurity solution
- Project presentations and peer discussions
Give your team the edge they need to succeed with our comprehensive courses, tailored to your specific needs.
Interested in more details?
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