Mentor Based
AI-Driven Cybersecurity
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Course Overview
Program Syllabus
Module 1
About This 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.
Module 2
Aim
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI-Driven Cybersecurity
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
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.
Module 4
Program Structure
Introduction to AI in Cyber security
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- The Evolution of Cyber security
- Fundamentals of Artificial Intelligence
- Integrating AI with Cyber security
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AI Technologies in Cyber security
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- Machine Learning Models
- Neural Networks and Deep Learning
- Natural Language Processing for Security Threats
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Threat Detection with AI
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- Anomaly Detection Techniques
- AI in Antivirus and Anti-malware
- Real-time Threat Detection Systems
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AI in Network Security
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- Network Traffic Analysis using AI
- Securing IOT with AI
- AI for Wireless Security
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AI in Security Automation
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- Automated Response Systems
- AI in Identity and Access Management
- Predictive Security Postures with AI
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Ethical and Legal Considerations
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- Privacy Issues with AI in Security
- Ethical AI Development and Use
- Regulatory Compliance and AI
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Future Trends and Industry Applications
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- Advancements in AI for Cyber security
- AI in Cyber security Startups and Innovations
- Preparing for Future Cyber Threats
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Module 5
Who Should Enrol?
This course is suitable for university students, researchers, and professionals in cybersecurity, computer science, and related fields. Basic understanding of cybersecurity concepts is recommended.
Module 6
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.
Module 8
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 14
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