AI-Driven Cybersecurity
Cybersecurity, AI in Network Security, Security Automation, Ethical and Legal Considerations, Future Trends and Industry Applications
Online/ e-LMS
Self Paced
Moderate
3 Months
Batches
Program Aim
About Program
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.
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.
Program Structure
Module 1: Introduction to AI in Cyber security
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- Section 1.1: The Evolution of Cyber security
- Section 1.2: Fundamentals of Artificial Intelligence
- Section 1.3: Integrating AI with Cyber security
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Module 2: AI Technologies in Cyber security
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- Section 2.1: Machine Learning Models
- Section 2.2: Neural Networks and Deep Learning
- Section 2.3: Natural Language Processing for Security Threats
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Module 3: Threat Detection with AI
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- Section 3.1: Anomaly Detection Techniques
- Section 3.2: AI in Antivirus and Anti-malware
- Section 3.3: Real-time Threat Detection Systems
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Module 4: AI in Network Security
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- Section 4.1: Network Traffic Analysis using AI
- Section 4.2: Securing IOT with AI
- Section 4.3: AI for Wireless Security
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Module 5: AI in Security Automation
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- Section 5.1: Automated Response Systems
- Section 5.2: AI in Identity and Access Management
- Section 5.3: Predictive Security Postures with AI
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Module 6: Ethical and Legal Considerations
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- Section 6.1: Privacy Issues with AI in Security
- Section 6.2: Ethical AI Development and Use
- Section 6.3: Regulatory Compliance and AI
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Module 7: Future Trends and Industry Applications
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- 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
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Participant’s Eligibility
This course is suitable for university students, researchers, and professionals in cybersecurity, computer science, and related fields. Basic understanding of cybersecurity concepts is recommended.
Program Outcomes
Upon completion of this course, participants will gain:
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- Proficiency in integrating AI into cyber security practices.
- Skills to leverage AI for threat detection, network security, and security automation.
- Awareness of ethical and legal considerations in AI-driven cyber security solutions.
- Readiness to apply AI technologies in real-world cyber security scenarios.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
Certificate
Program Assessment
- Regular Quizzes: Evaluate understanding of key concepts through quizzes at the end of each module.
- Hands-on Projects: Apply AI cybersecurity tools and concepts in practical projects, simulating real-world scenarios.
- Research Papers: Write and submit research papers on contemporary issues in AI and cybersecurity, which can qualify for special recognition.
- Final Examination: A comprehensive exam that covers all course content, testing both theoretical knowledge and practical skills.
Program Deliverables
- Extensive Learning Resources: Enjoy comprehensive reading materials, quizzes, and specialized video lectures on AI in cybersecurity.
- Engaging Assignments and Projects: Engage in practical projects and simulations that address real-world cyber threats, along with opportunities to contribute  to academic research in cybersecurity.
- Supportive Learning Community: Access a dedicated forum for ongoing support and collaboration with peers and instructors.
- Certifications:
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- Certificate of Completion: Earn a certificate recognizing your expertise in AI-driven cyber security upon successfully completing the course.
- Publication Certificate: Stand out with an additional certificate for excellent research papers.
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- Recognition of Excellence: Achievements may be highlighted on the “Hall of Fame” board, showcasing exceptional contributions to the field.
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 cyber security field.
- Job Portal Access: Gain access to a job portal featuring listings from companies interested in AI-enhanced cyber security skills.
- Industry Collaboration: Leverage partnerships with IT and cyber security 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.
