AI for Cybersecurity: Build 20+ Projects (ISC² cert Aligned)
Published 10/2025
Duration: 9h 40m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.53 GB
Genre: eLearning | Language: English
Published 10/2025
Duration: 9h 40m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.53 GB
Genre: eLearning | Language: English
Learn Cybersecurity with AI & Machine Learning. Create Python Ethical Hacking projects, Penetration Testing and SOC
What you'll learn
- Cybersecurity fundamentals & terminology
- Python programming
- Python programming for cybersecurity
- Machine learning essentials
- Threat detection models
- Phishing and malware classifiers
- AI-driven intrusion detection
- Data preprocessing & feature engineering
- SIEM and IDS integration
- Hands-on labs & coding projects
- ISC² certifications alignment
- AI models Attacks
Requirements
- No prior programming experience required — Python basics are included in the course.
- Basic understanding of computers and networks is helpful but not mandatory.
- A computer (Windows, macOS, or Linux) with internet access.
- Curiosity to learn how Artificial Intelligence transforms cybersecurity defense.
Description
AI for Cybersecurity: Build 20+ Projects (ISC² Cert Aligned)is a comprehensive, hands-on course that combines cybersecurity, Python programming, and artificial intelligence to prepare learners for modern security challenges.
The course focuses on developing practical skills through real projects, covering everything from fundamental security principles to building intelligent detection systems powered by machine learning. Each section is structured to ensure learners not only understand theory but also apply it through guided, real-world exercises.
What You Will Learn
Core cybersecurity principles and terminology, including the CIA Triad, threat actors, and security controls
Python programming fundamentals for cybersecurity and AI applications
Machine learning techniques for intrusion detection, phishing analysis, and anomaly detection
Building AI-powered cybersecurity tools for penetration testing and SOC operations
Understanding and integrating systems such as SIEM, IDS/IPS, and EDR
Developing data preprocessing and feature engineering pipelines for security datasets
Knowledge aligned with two ISC² cybersecurity certification domains
Key Course Features
Over 20 guided projects designed to develop practical, hands-on experience
Balanced coverage of both theory and implementation
Step-by-step coding sessions, quizzes, and mini-labs for active learning
Clear explanations suitable for both beginners and professionals
Alignment with real-world SOC environments and modern cyber defense practices
Who This Course Is For
Cybersecurity students looking to expand into AI-driven defense
Ethical hackers and penetration testers interested in automation
SOC analysts and IT professionals developing advanced detection systems
Python learners exploring cybersecurity applications
Anyone preparing for ISC²-aligned cybersecurity certifications
Upon completion, learners will have the technical knowledge and applied experience to build, test, and deploy intelligent cybersecurity solutions. This course provides a complete path from foundational security understanding to advanced AI-based threat detection, preparing students for professional roles in modern security environments.
Who this course is for:
- Cybersecurity students seeking practical AI skills
- Ethical hackers and penetration testers expanding into AI
- SOC analysts and incident responders learning automation
- Python developers exploring cybersecurity applications
- IT professionals transitioning into security and AI roles
- Beginners entering cybersecurity with no coding experience
- Anyone preparing for ISC²-aligned certifications
More Info