AI-Driven Cybersecurity Course

The program is a 3-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 program culminates with a certificate of completion, equipping learners with the skills to lead in the evolving field of cyber security.

Aim

This program aims to equip participants with the skills to use Artificial Intelligence (AI) effectively in cybersecurity. It focuses on enhancing threat detection, automating responses, and securing networks using AI tools. Participants will learn to apply AI in real-time scenarios, preparing them to manage and mitigate cyber threats across industries. The goal is to provide a deep understanding of AI’s transformative impact on cybersecurity practices.

Program Objectives

AI Fundamentals in Cybersecurity: Understand the fundamentals of AI and its integration with cybersecurity.
AI Technologies: Explore AI technologies such as machine learning, neural networks, and natural language processing in cybersecurity applications.
Threat Detection and Automation: Learn AI-driven techniques for threat detection, network security, and security automation.
Ethics and Legal Compliance: Discuss ethical and legal considerations in AI-powered cybersecurity solutions.
Future Trends: Explore future trends and industry applications of AI in cybersecurity.

Program Structure

Module 1: Introduction to AI in Cybersecurity

Section 1.1: The Evolution of Cybersecurity
Section 1.2: Fundamentals of Artificial Intelligence
Section 1.3: Integrating AI with Cybersecurity

Module 2: AI Technologies in Cybersecurity

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 Cybersecurity
Section 7.2: AI in Cybersecurity Startups and Innovations
Section 7.3: Preparing for Future Cyber Threats

Participant’s Eligibility

University students, researchers, and professionals in cybersecurity, computer science, and related fields. A basic understanding of cybersecurity concepts is recommended.

Program Outcomes

AI and Cybersecurity: Proficiency in integrating AI into cybersecurity practices.
AI for Threat Detection: Skills to leverage AI for threat detection, network security, and security automation.
Ethical and Legal Awareness: Awareness of ethical and legal considerations in AI-driven cybersecurity solutions.
Real-World Application: Readiness to apply AI technologies in real-world cybersecurity scenarios.

Certificate Program Assessment

Exam	Weightage
Mid Term Assignments	50%
Project Report Submission (Includes Mandatory Paper Publication)	50%

Program Deliverables

Access to e-LMS
Real-Time Project for Dissertation
Project Guidance
Paper Publication Opportunity
Self-Assessment
Final Examination
e-Certification
e-Marksheet

Placement Assistance

Career Development Workshops: Participate in resume writing, interview preparation, and job search strategy sessions.
Corporate Networking Events: Connect with industry leaders through exclusive networking events and guest lectures, providing insights into the cybersecurity field.
Job Portal Access: Gain access to a job portal featuring listings from companies interested in AI-enhanced cybersecurity skills.
Industry Collaboration: Leverage partnerships with IT and cybersecurity firms to gain insights into industry needs and potential employment opportunities.

Future Career Prospects

Leadership roles in cybersecurity research and development.
Specialized positions in organizations focusing on AI-driven security solutions.
Consulting roles in cybersecurity strategy and implementation.
Academic positions in university cybersecurity programs.

MODE	Online/ e-LMS
TYPE	Self Paced
LEVEL	Moderate
DURATION	3 Weeks

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AI-Driven Cybersecurity Course

Aim

Program Objectives

Program Structure

Module 1: Introduction to AI in Cybersecurity