Advanced Cybersecurity with Generative AI
This Cybersecurity with Generative AI course is designed to provide students and professionals with a strong foundation in security principles, modern DevSecOps practices, and hands-on labs using open-source tools. Learners will explore how Generative AI (GenAI) is transforming threat detection, vulnerability management, and security automation.
Through six structured modules, students will gain knowledge from fundamentals to advanced security operations, with real-world projects and labs that simulate enterprise security challenges. By the end of this course, learners will be able to implement secure DevOps pipelines, use AI-powered security tools, and build defense strategies against evolving cyber threats.
Course Curriculum
Module 1: Foundations of Cybersecurity
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Introduction to Cybersecurity: CIA Triad (Confidentiality, Integrity, Availability)
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Threats, Vulnerabilities & Attacks
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Security Policies & Compliance (ISO 27001, NIST, GDPR)
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Cryptography Basics (Symmetric, Asymmetric, Hashing)
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Case Studies: Major Security Breaches
Module 2: Generative AI in Cybersecurity
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Overview of AI & Generative AI
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AI in Threat Detection & Malware Analysis
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Building AI-powered Intrusion Detection Systems
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Generating Attack Simulations with AI
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Ethics of AI in Security
Module 3: DevOps to DevSecOps
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DevOps Fundamentals
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Integrating Security into CI/CD pipelines
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Container Security (Docker, Kubernetes)
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Secrets Management & Vaults
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Hands-on: Secure Jenkins/GitLab CI Pipeline
Module 4: Security Labs (Open Source Tools)
Practical hands-on labs using open-source security tools
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Network Security: Wireshark, Nmap, Snort
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Web Security: OWASP ZAP, Burp Suite (Community Edition)
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Forensics: Autopsy, Volatility
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SIEM: Wazuh, ELK Stack
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Threat Hunting with AI: OpenAI API, HuggingFace Models
Module 5: Cloud & Application Security
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Cloud Security Fundamentals (AWS, Azure, GCP)
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IAM & Zero Trust Security
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API Security & Testing
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Secure Coding Practices (Python, Java)
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Hands-on: Serverless Security Labs
Module 6: Capstone Project & Career Path
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Security Automation with AI & Python
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Designing a Secure Enterprise Architecture
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Capstone Project:
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AI-driven Threat Detection System OR
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Secure CI/CD pipeline with monitoring & alerting
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Career Guidance: Cybersecurity Analyst, DevSecOps Engineer, Security Architect
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Certifications Roadmap: CEH, Security+, OSCP, CKA Security
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Simanchal Nayak
Analyst ConsultantLeaving my teaching career and stepping into IT felt like a huge challenge. Today, I'm proud to be joining Accenture, Pune. Thank you, DataXSchool and Srikanta Sir, for your unwavering support, expert guidance, and for helping me turn my career dream into reality.
Himanshu Raut
Database EngineerI'm happy to share that I have been placed as a Database Engineer at NTT DATA, Bengaluru .A heartfelt thanks to DataXSchool and Srikanta Sir for their excellent training, practical learning, and continuous support throughout my journey. The guidance and placement assistance helped me achieve my career goal.
Jogeswar Rao
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Data AnalystAs a B.Tech Mechanical graduate, I never imagined I'd transition from a low-paying construction job to the IT industry. Today, I'm proud to start my new journey with **TCS, Bhubaneswar**. Hard work, persistence, and believing in myself made this dream come true.
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