Course Overview
- 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 understand differentiate machine learning from traditional programming paradigm
- Able to qualitatively explain the different types of Machine learning algorithms and their applications with examples
- 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
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Course Description
The Certified AI Cyber Security Associate aims to address the basics of Machine Learning and Cyber Security, best practices to Cyber S...
Read moreCourse Objective
The Certified AI Cyber Security Associate aims to address the basics of Machine Learning and Cyber Security, best practices to Cyber S...
Read more
Course Content
- Unit 1: Introduction to Cyb er 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)
GICT Training & Certification
We are a pioneer in offering open source technology based (and vendor neutral) certification programs in the areas of AI/Machine Learning, Big Data/Data Science, Cloud Computing and Internet of Things (IoT)..

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