AI-Driven Cybersecurity

Cybersecurity, AI in Network Security, Security Automation, Ethical and Legal Considerations, Future Trends and Industry Applications

MODE
Mode(Online) TYPE
Self Paced LEVEL
Moderate

Skills you will gain:

The course is a 12-week intensive program designed to teach participants how to integrate Artificial Intelligence into cyber security practices. Aimed at computer science and IT students and early career professionals, this course features interactive lectures, hands-on labs with AI tools, and real-world simulations. Participants will learn to enhance threat detection, automate responses, and strengthen network security through AI-driven technologies. The course culminates with a certificate of completion, equipping learners with the skills to lead in the evolving field of cyber security.

Aim:

The course aims to equip participants with the skills to use Artificial Intelligence effectively in cyber security. The course focuses on using AI to enhance threat detection, automate responses, and secure networks. Participants will learn to apply AI tools in real-time scenarios, preparing them to manage and mitigate cyber threats in various industries. The goal is to provide a deep understanding of AI’s transformative impact on cyber security practices.

Program Objectives:

Understand the fundamentals of Artificial Intelligence and its integration with cyber security.
Explore AI technologies such as machine learning, neural networks, and natural language processing in cyber security applications.
Learn AI-driven techniques for threat detection, network security, and security automation.
Discuss ethical and legal considerations in AI-powered cyber security solutions.
Explore future trends and industry applications of AI in cyber security.

What you will learn?

Module 1: Introduction to AI in Cyber security

- - Section 1.1: The Evolution of Cyber security
  - Section 1.2: Fundamentals of Artificial Intelligence
  - Section 1.3: Integrating AI with Cyber security

Module 2: AI Technologies in Cyber security

- - Section 2.1: Machine Learning Models
  - Section 2.2: Neural Networks and Deep Learning
  - Section 2.3: Natural Language Processing for Security Threats

Module 3: Threat Detection with AI

- - Section 3.1: Anomaly Detection Techniques
  - Section 3.2: AI in Antivirus and Anti-malware
  - Section 3.3: Real-time Threat Detection Systems

Module 4: AI in Network Security

- - Section 4.1: Network Traffic Analysis using AI
  - Section 4.2: Securing IOT with AI
  - Section 4.3: AI for Wireless Security

Module 5: AI in Security Automation

- - Section 5.1: Automated Response Systems
  - Section 5.2: AI in Identity and Access Management
  - Section 5.3: Predictive Security Postures with AI

Module 6: Ethical and Legal Considerations

- - Section 6.1: Privacy Issues with AI in Security
  - Section 6.2: Ethical AI Development and Use
  - Section 6.3: Regulatory Compliance and AI

Module 7: Future Trends and Industry Applications

- - Section 7.1: Advancements in AI for Cyber security
  - Section 7.2: AI in Cyber security Startups and Innovations
  - Section 7.3: Preparing for Future Cyber Threats

Intended For :

This course is suitable for university students, researchers, and professionals in cybersecurity, computer science, and related fields. Basic understanding of cybersecurity concepts is recommended.

Career Supporting Skills

AI in Cybersecurity Machine Learning Neural Networks and Deep Learning AI in Antivirus and Anti-malware