Accelgora Academy
Cyber Security
Course Description
This course explores the intersection of cybersecurity and machine learning, focusing on how machine learning techniques can be applied to enhance security systems. You will learn to identify vulnerabilities, detect threats, and create intelligent systems
What You'll Learn
- - Understand the fundamentals of cybersecurity, including threat models, attack vectors, and defense mechanisms.
- - Explore how machine learning can be used in areas such as anomaly detection, intrusion detection, and malware classification.
- - Learn to preprocess, analyze, and secure datasets used in cybersecurity applications.
- - Gain expertise in applying machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch to cybersecurity problems.
- - Discover advanced techniques such as adversarial machine learning and its implications for secure AI systems.
- - Develop models for real-world use cases such as phishing detection, fraud prevention, and network security monitoring.
- - Understand the ethical, legal, and privacy implications of integrating machine learning in cybersecurity systems.