Overview
This bundle includes enrollment into three AI Certs self-paced eLearning at a discounted rate: AI+ Foundation (AIFOUND), AI+ Security Level 1 (AISEC), and AI+ Ethical Hacker (AIEH).
This path provides a starting point for individuals interested in cybersecurity.
Who should attend
- Cybersecurity Specialists
- Security Consultants
- Security Analysts
Prerequisites
Students should have understanding of fundamentals cybersecurity concepts and proficiency in using Windows and Linux operating systems.
Understanding of web technologies, including HTTP/HTTPS protocols and web servers is highly recommended.
Outline
AI+ Foundation: Build a strong foundation of Artificial Intelligence (AI), including core concepts, ethical considerations, and real world applications.
- Module 1: Introduction to AI and Its Impact
- Module 2: Prompt engineering: Interacting with AI
- Module 3: AI in Business & Industry Applications
- Module 4: AI Ethics & Bias
- Module 5: The Future of AI & Career Opportunities
AI Security Level 1: Offers professionals an exploration of the integration of AI and Cybersecurity by looking at machine learning techniques to detect and mitigate cyber threats, as well as user authentication using AI algorithms.
- Module 1: Introduction to Cyber Security
- Module 2: Operating System Fundamentals
- Module 3: Networking Fundamentals
- Module 4: Threats, Vulnerabilities, and Exploits
- Module 5: Understanding of AI and ML
- Module 6: Python Programming Fundamentals
- Module 7: Applications of AI in Cybersecurity
- Module 8: Incident Response and Disaster Recovery
- Module 9: Open Source Security Tools
- Module 10: Securing the Future
AI+ Ethical Hacker: Offers a comprehensive look at how AI is revolutionizing ethical hacking practices including, enhanced threat detection, automated vulnerability assessments, and advanced reconnaissance techniques.
- Module 1: Foundation of Ethical Hacking Using Artificial Intelligence
- Module 2: Introduction to AI in Ethical Hacking
- Module 3: AI Tools and Technologies in Ethical Hacking
- Module 4: AI-Driven Reconnaissance Techniques
- Module 5: AI in Vulnerability Assessment and Penetration Testing
- Module 6: Machine Learning for Threat Analysis
- Module 7: Behavioral Analysis and Anomaly Detection for System Hacking
- Module 8: AI Enabled Incident Response Systems
- Module 9: AI for Identity and Access Management (IAM)
- Module 10: Securing AI Systems
- Module 11: Ethics in AI and Cybersecurity