Certified AI Cyber Security Associate Course
Certified AI Cyber Security Associate
Tools/Software used:
Kali Linux, Jupyter Notebook, scikit-learn, TensorFlow, Keras
Certified AI Cyber Security Associate
Tools/Software used:
Kali Linux, Jupyter Notebook, scikit-learn, TensorFlow, Keras
Objective of the AI Cyber Security Associate Course
The Certified AI Cyber Security Associate aims to address the basics of Machine Learning and Cyber Security, best practices to Cyber Security, Malware Analysis, Cyber Security attack using Machine Learning, password brute force attack and anomaly detection through demo/hands-on sessions.
Course Outline
- Unit 1: Introduction to Cyber Security
- Unit 2: Best Practices to Cyber Security
- Unit 3: Penetration Test with Kali Linux
- Unit 4: Machine Learning Basics
- Unit 5: Machine Learning & Cyber Security
- Unit 6: Machine Learning in Cyber Security exercises
- Unit 7: Malware Analysis
- Unit 8: Attacks on Machine Learning
- Unit 9: Generative Adversarial Networks (GANs)
Duration
- 24 hrs (3 days) inclusive of training and exam
Course Outcome
Session 1
- Able to qualitatively explain definition of Cyber Security
- Able to quantitatively and qualitatively explain the fundamental concepts of Cyber Security and Cyber crimes
- Able to qualitatively explain the causes and emergence of frauds and quantitatively build solution to mitigate occurrences
- Able to use tools provided by Kali Linux Cyber Security penetration testing
- Able to understand differentiate machine learning from traditional programming paradigm
- Able to qualitatively explain the different types of Machine learning algorithms and their applications with examples
Session 5
- Able to qualitatively explain the causes of malicious websites and quantitatively build suitable machine learning and/or artificial intelligence model to pre-detect their occurrences
Session 6
- Able to understand basic concepts used in data preprocessing prior to training ML models
- Able to develop machine learning solution using python and use python’s data science libraries in a Kali Linux platform.
- Learn to Create, Train, Test and Optimize machine learning models to suit applications
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