Course Overview
TOPAI+ Security Level 2 offers professionals a thorough exploration of the integration of AI and Cybersecurity. Beginning with fundamental Python programming tailored for AI and Cybersecurity applications, participants delve into essential AI principles before applying machine learning techniques to detect and mitigate cyber threats, including email threats, malware, and network anomalies. Advanced topics such as user authentication using AI algorithms and the application of Generative Adversarial Networks (GANs) for Cybersecurity purposes are also covered, ensuring participants are equipped with cutting-edge knowledge. Practical application is emphasized throughout, culminating in a Capstone Project where attendees synthesize their skills to address real-world cybersecurity challenges, leaving them adept in leveraging AI to safeguard digital assets effectively.
Scheduled Classes
TOP| 08/18/25 - NVT - Virtual Classroom - Live Virtual | (click to enroll)
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| 09/22/25 - NVT - Virtual Classroom - Live Virtual | (click to enroll)
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| 10/27/25 - NVT - Virtual Classroom - Live Virtual | (click to enroll)
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| 11/24/25 - NVT - Virtual Classroom - Live Virtual | (click to enroll)
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What You'll Learn
TOP- AI-Driven Threat Detection
- Application of Machine Learning in Cybersecurity
- Enhanced User Authentication Methods
- AI-Enhanced Penetration Testing
Outline
TOPIntroduction to Artificial Intelligence (AI) and Cyber Security
- Understanding the Cyber Security Artificial Intelligence (CSAI)
- An Introduction to AI and its Applications in Cybersecurity
- Overview of Cybersecurity Fundamentals
- Identifying and Mitigating Risks in Real-Life
- Building a Resilient and Adaptive Security Infrastructure
- Enhancing Digital Defenses using CSAI
Python Programming for AI and Cybersecurity Professionals
- Python Programming Language and its Relevance in Cybersecurity
- Python Programming Language and Cybersecurity Applications
- AI Scripting for Automation in Cybersecurity Tasks
- Data Analysis and Manipulation Using Python
- Developing Security Tools with Python
Application of Machine Learning in Cybersecurity
- Understanding the Application of Machine Learning in Cybersecurity
- Anomaly Detection to Behaviour Analysis
- Dynamic and Proactive Defense using Machine Learning
- Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats
Detection of Email Threats with AI
- Utilizing Machine Learning for Email Threat Detection
- Analyzing Patterns and Flagging Malicious Content
- Enhancing Phishing Detection with AI
- Autonomous Identification and Thwarting of Email Threats
- Tools and Technology for Implementing AI in Email Security
AI Algorithm for Malware Threat Detection
- Introduction to AI Algorithm for Malware Threat Detection
- Employing Advanced Algorithms and AI in Malware Threat Detection
- Identifying, Analyzing, and Mitigating Malicious Software
- Safeguarding Systems, Networks, and Data in Real-time
- Bolstering Cybersecurity Measures Against Malware Threats
- Tools and Technology: Python, Malware Analysis Tools
Prerequisites
TOP- Basic Python Skills: Familiarity with Python basics, including variables, loops, and functions
- Basic Cybersecurity: Basic understanding of cybersecurity principles, such as the CIA triad and common cyber threats
- Basic Machine Learning Awareness: General awareness about machine learning, no technical skills required
- Basic Networking Knowledge: Understanding of IP addresses and how the internet works
- Basic command line Skills: Comfort using the command line like Linux or Windows terminal for basic tasks
- Interest in AI for Security: Willingness to explore how AI can be applied to detect and mitigate security threats
Who Should Attend
TOP- Security Analyst
- Cybersecurity Specialist
- Security Consultant
