PG Master Diploma in Cyber Security with Cloud, DevSecOps & AI
Networking | Linux | Programming Basics | SOC | Monitoring | SIEM | Ethical Hacking | Penetration Testing | Threat Hunting | DevSecOps | Cloud Security | AI Security | Generative AI & Agentic AI in Cyber Security | CEH Practical Challenges. An industry-oriented curriculum covering offensive, defensive and cloud security technologies, with practical skills built through real-world cyber attack simulations across 7 courses. Master SOC, SIEM, Threat Hunting, DevSecOps and AI-powered Security, gain enterprise-level experience through 30+ projects and live challenges, and prepare for SOC Analyst, Ethical Hacker, Penetration Tester, Threat Hunter, Cloud Security Engineer and DevSecOps Engineer career opportunities — with globally recognized certification preparation, placement-oriented training and interview preparation.
PG Master Diploma — Cyber Security with AI
Cyber Security, Cloud, DevSecOps & AI Security Programme
Tools you'll master
Why This Course?
Prerequisites
Programme Overview
7 courses covering Networking & Linux, SOC & SIEM, Ethical Hacking & Penetration Testing, Threat Hunting & Automation, DevSecOps, Cloud Security & AI Security, and Gen AI & Agentic AI in Cyber Security — a single, progressive learning arc for offensive, defensive and cloud-native security careers.
Networking + Linux + Programming Basics
Networking fundamentals, Linux administration, Bash and Python — the foundation every Cyber Security professional builds on.
SOC + Monitoring + SIEM
Security Operations Center workflows, SIEM concepts, log management and alert investigation.
Ethical Hacking + Penetration Testing
Information gathering, vulnerability assessment and exploitation across web, network and wireless targets.
Threat Hunting + Automation
Proactive threat intelligence, IOC analysis, malware detection and SOAR-driven incident automation.
DevSecOps
Secure SDLC, CI/CD pipeline security, container and Kubernetes hardening across the DevOps toolchain.
Cloud Security + AI Security
Securing AWS, Azure and GCP with strong IAM, compliance and AI-application security practices.
GenAI & Agentic AI in Cyber Security
AI security assistants, AI-driven threat detection and AI agents for automated incident response.
CEH Practical Challenges
Capture-the-flag, Red Team and Blue Team labs that put every skill to the test in enterprise-style scenarios.
Who is this programme for?
Whether you're a fresher, a Network Engineer, a Linux/System Administrator, a Software Developer or already working in IT — this programme is built to take you into a high-demand SOC Analyst, Ethical Hacker, Cloud Security Engineer or DevSecOps role.
Students & Freshers
Build strong Cyber Security foundations, gain practical security experience, and improve employability.
Network Engineers
Transition into Cyber Security, learn SOC & Threat Hunting, and master security monitoring.
Linux/System Administrators
Secure enterprise infrastructure, learn Cloud & DevSecOps security, and build automation skills.
Software Developers
Learn secure development practices, integrate security into CI/CD, and build secure applications.
Cloud Engineers
Master Cloud Security, learn Identity & Access Management, and secure multi-cloud environments.
Working Professionals
Upskill with modern Cyber Security technologies, accelerate career growth, and prepare for advanced security roles.
Course Curriculum
7 courses • 93 modules • hands-on, job-oriented training
Course Content
Topics:
- Introduction to Cyber Security
- Cyber Attack Lifecycle
- Types of Threats & Vulnerabilities
- CIA Triad
- Ethical Hacking Concepts
- Security Policies & Compliance
- Risk Management Basics
- Security Operations Center (SOC)
- Incident Response Basics
- Cyber Security Career Paths
Topics:
- Networking Basics: OSI & TCP/IP models, IPv4 & IPv6 addressing, subnetting, public vs private IP, MAC addressing, DNS/DHCP/NAT, routing & switching, VLAN concepts, wireless networking basics
- Network Protocols: HTTP/HTTPS, FTP/SFTP, SSH/Telnet, SMTP/POP3/IMAP, SNMP, LDAP, SMB/NFS, ICMP
- Network Security: firewalls, IDS & IPS, VPN technologies, proxy servers, Zero Trust security, NAC basics, secure network architecture
- Networking Tools: Wireshark, Nmap, Tcpdump, Netstat, Ping & Traceroute, Dig & Nslookup
Topics:
- Linux Basics: architecture, file system, user & group management, permissions, file & directory operations, package management, process management
- Linux Administration: SSH configuration, service management, cron jobs, systemctl, disk & memory monitoring, log monitoring
- Linux Networking: network configuration, DNS settings, routing basics, firewall configuration
- Linux Security: IPTables/Firewalld, SELinux basics, Fail2Ban, SSH hardening, audit logs, Linux hardening
Topics:
- Windows Basics: architecture, file system (NTFS), user & group management, services, registry basics, Event Viewer
- Windows Administration: Active Directory basics, group policy basics, user access management, remote desktop configuration, updates & patch management
- Windows Security: Windows Defender, BitLocker, firewall configuration, account policies, endpoint protection, PowerShell security
- Windows Networking: IP configuration, DNS & DHCP basics, SMB protocol, network troubleshooting
Topics:
- Bash Scripting: variables & loops, conditional statements, functions, file operations, log monitoring scripts, automation tasks
- PowerShell Scripting: basics, cmdlets, Windows automation, user management scripts, event log monitoring, security automation
Topics:
- Python Basics: variables & data types, operators, loops & conditions, functions, file handling, exception handling
- Python for Security: socket programming, port scanner script, log parsing, API requests, automation scripts, JSON processing
- Regular Expressions: pattern matching, log filtering, input validation
Topics:
- Authentication & Authorization
- Encryption Basics
- Hashing Algorithms
- SSL/TLS Basics
- Multi-Factor Authentication
- Password Security
- Secure Coding Practices
Topics:
- Kali Linux Introduction
- Metasploit Basics
- Burp Suite Basics
- Nessus Basics
- SIEM Overview
- Endpoint Security Tools
- Vulnerability Scanning Basics
Labs & Assignments:
- Linux User & Permission Management
- Windows User & Policy Configuration
- Network Packet Analysis
- Port Scanning using Nmap
- Linux Firewall Configuration
- Windows Security Hardening
- Python Automation Scripts
- Bash & PowerShell Scripting Tasks
- Log Monitoring & Analysis
Projects:
- Project 1: Linux Server Hardening — SSH Security, Firewall Rules, User Access Controls, Audit Logging
- Project 2: Windows Security Monitoring — Event Log Monitoring, PowerShell Automation, User Activity Tracking
- Project 3: Python-Based Security Automation — Port Scanner, Log Analyzer, Basic Threat Detection Script
- Project 4: Network Traffic Analysis — Packet Capture, Suspicious Traffic Identification, Security Reporting
Scenarios:
- SOC Analyst Monitoring Scenarios
- Linux Security Troubleshooting
- Windows Endpoint Security Incidents
- Network Attack Detection
- Log Analysis & Threat Hunting
- Firewall Troubleshooting
- Patch Management Scenarios
- Security Alert Investigation
With Projects, Assignments & Job-Oriented Scenarios
Course Content
Topics:
- SOC Fundamentals: what is SOC, SOC team structure (L1/L2/L3), roles & responsibilities of SOC Analysts, Blue Team vs Red Team
- Threat Frameworks: Cyber Kill Chain, MITRE ATT&CK Framework, threat landscape overview, types of cyber attacks
- SOC Workflow: security monitoring basics, SOC workflow & incident lifecycle, alert management process, incident response basics, security operations best practices
Topics:
- Core Networking: OSI & TCP/IP models, IPv4 & IPv6, ports & protocols, DNS/DHCP/NAT
- Protocols & Security: HTTP/HTTPS, FTP/SSH/SMTP, VPN basics, firewalls, IDS & IPS, proxy servers, wireless security basics
- Traffic Analysis: packet flow analysis, network troubleshooting basics
Topics:
- Linux for SOC: file system, user management, commands, process monitoring, log analysis, SSH security, networking commands
- Windows for SOC: architecture, Event Viewer, Active Directory basics, Group Policy basics, services, Windows logs analysis, PowerShell basics
Topics:
- Monitoring Concepts: security monitoring concepts, log collection methods, types of security logs, syslog fundamentals
- Log Sources: Windows Event Logs, application logs, cloud logs, endpoint monitoring
- Monitoring Practice: real-time monitoring, alert prioritization, baseline monitoring, threat detection techniques
Topics:
- SIEM Basics: what is SIEM, SIEM architecture, log aggregation, event normalization
- SIEM Practice: correlation rules, dashboards & reporting, incident correlation, threat intelligence integration, alert tuning, use case development, SIEM best practices
Topics:
- Splunk: architecture, data inputs, indexing, SPL queries, dashboards, alerts & reports, correlation searches, Enterprise Security basics
- IBM QRadar: architecture, log sources, offense management, rules & correlation, dashboard analysis
- Microsoft Sentinel: basics, data connectors, analytics rules, workbooks, incident investigation
- ELK Stack: Elasticsearch basics, Logstash configuration, Kibana dashboards, Beats agents
Topics:
- Detection Concepts: IOC & IOA concepts, malware detection basics, threat hunting basics
- Attack Detection: brute force detection, phishing detection, suspicious login monitoring, privilege escalation detection, data exfiltration detection, ransomware indicators
- Incident Handling: incident escalation process, incident documentation
Topics:
- Endpoint Monitoring: Endpoint Detection & Response (EDR), antivirus monitoring
- Network Monitoring: firewall log monitoring, IDS/IPS monitoring, network traffic analysis, packet capture basics, proxy log analysis, VPN monitoring
- Cloud Security Monitoring
Topics:
- AWS/Azure/GCP Security Monitoring: AWS security monitoring, Azure security monitoring, GCP monitoring basics
- Cloud Logging & SIEM: CloudTrail logs, Azure Monitor, cloud SIEM concepts, cloud threat detection
Topics:
- Threat Intelligence: threat intelligence platforms, open source threat intelligence, MITRE ATT&CK mapping
- SOC Automation: SOAR basics, automation in SOC, security playbooks, alert automation, basic Python for SOC automation
Topics:
- Python for SOC: variables & loops, functions, file handling, log parsing, API basics, automation scripts
- PowerShell for SOC: Windows monitoring scripts, event log monitoring, user monitoring scripts
Labs & Assignments:
- Analyze Windows Event Logs
- Configure Syslog Server
- Splunk Dashboard Creation
- SIEM Alert Configuration
- Threat Detection Lab
- Firewall Log Monitoring
- Linux Log Analysis
- Network Packet Analysis using Wireshark
- Brute Force Detection Scenario
- PowerShell Monitoring Scripts
- Threat Hunting Exercises
- Create SIEM Correlation Rules
- Build SOC Dashboards
- Analyze Security Logs
- Configure Alerting Mechanisms
- Threat Intelligence Mapping
- Security Incident Reporting
- Network Traffic Investigation
Projects:
- Project 1: SOC Monitoring Lab — Centralized Log Collection, SIEM Integration, Real-Time Alert Monitoring
- Project 2: Splunk Security Monitoring — Dashboard Creation, Correlation Rules, Incident Alerts
- Project 3: Threat Detection & Incident Response — Malware Detection, Login Failure Monitoring, Incident Escalation Workflow
- Project 4: Cloud Security Monitoring — AWS/Azure Log Monitoring, Cloud Threat Detection, Security Reporting
Scenarios:
- Suspicious Login Detection
- Malware Alert Investigation
- Ransomware Activity Monitoring
- Firewall Traffic Analysis
- Insider Threat Detection
- Failed Login Monitoring
- Privilege Escalation Alerts
- VPN Abuse Detection
- Endpoint Security Incident Handling
- Phishing Investigation
- Cloud Security Incident Analysis
With Projects, Assignments & Job-Oriented Scenarios
Course Content
Topics:
- Ethical Hacking Basics: what is ethical hacking, types of hackers, cyber security fundamentals, ethical hacking methodology, Cyber Kill Chain
- Pentest Lifecycle: penetration testing lifecycle, types of penetration testing, vulnerability assessment vs penetration testing, legal & compliance aspects
- Foundations: OWASP Top 10 overview, information security concepts, risk/threat & vulnerability management
Topics:
- Networking Basics: OSI & TCP/IP models, IPv4 & IPv6, subnetting, ports & protocols, DNS/DHCP & NAT, routing & switching, VLAN concepts
- Network Security & Analysis: VPN technologies, firewalls, IDS & IPS, proxy servers, wireless networking basics, packet analysis fundamentals
Topics:
- Linux Basics: file system, user & permission management, networking commands, file & process management, package management
- Linux Admin & Security: SSH configuration, service management, bash scripting basics, security hardening, log analysis basics
Topics:
- Windows Basics: architecture, file system, user & group management, Active Directory basics, services
- Windows Tools & Security: PowerShell basics, Event Viewer, networking, security features, Group Policy basics
Topics:
- Recon Techniques: OSINT, WHOIS lookup, DNS enumeration, Google Dorking, email enumeration, social media reconnaissance, website information gathering, subdomain enumeration, network discovery, banner grabbing
- Tools: Maltego, Recon-ng, Shodan, theHarvester, Netcraft
Topics:
- Scanning & Enumeration: network scanning, port scanning, service enumeration, vulnerability scanning, SMB/SNMP/LDAP/NFS enumeration, web server enumeration
- Tools: Nmap, Nessus, Nikto, Enum4linux, OpenVAS
Topics:
- Vulnerability Assessment: management process, CVE & CVSS concepts, risk prioritization, patch management basics, vulnerability reporting, false positive analysis, web & system vulnerability assessment
Topics:
- Web Vulnerabilities: OWASP Top 10, SQL Injection, XSS, CSRF, file upload vulnerabilities, directory traversal, authentication bypass, session hijacking, broken access control, command injection
- Tools: Burp Suite, OWASP ZAP, SQLMap, Postman
Topics:
- Network Exploitation: exploitation basics, service & SMB exploitation, password/brute-force attacks, pivoting concepts, lateral movement basics, privilege escalation basics, exploit research
- Tools: Metasploit, Hydra, Netcat, CrackMapExec
Topics:
- Wireless Testing: networking basics, Wi-Fi security standards, wireless threats, WPA/WPA2 attacks, rogue access points, evil twin attacks, wireless packet analysis
- Tools: Aircrack-ng, Kismet, Wireshark
Topics:
- Cloud Pentesting: AWS & Azure security basics, cloud misconfigurations, IAM security concepts, S3 bucket security, cloud monitoring basics, cloud threat detection
Topics:
- Post-Exploitation: exploit development basics, reverse shell concepts, privilege escalation, persistence techniques, password dumping basics, data exfiltration concepts, covering tracks basics
Topics:
- Monitoring for Pentesters: log analysis, security monitoring, SIEM fundamentals, Splunk basics, threat detection concepts, incident response basics
Topics:
- Python for Pentesting: variables & loops, functions, file handling, socket programming, API requests, automation scripts
- Bash & PowerShell: Linux automation & enumeration scripts, PowerShell Windows automation, security monitoring scripts
Topics:
- Tools Deep Dive: Kali Linux, Metasploit, Burp Suite, Wireshark, Nmap, Nessus, SQLMap, Hydra, John the Ripper, Aircrack-ng
Labs & Assignments:
- Network Scanning Lab
- Vulnerability Assessment Lab
- SQL Injection Exploitation
- XSS Exploitation
- Password Cracking Lab
- Wireless Security Lab
- Linux Enumeration
- Windows Enumeration
- Web Application Security Testing
- SIEM Log Monitoring
- Create Pentesting Reports
- Perform OSINT Reconnaissance
- Develop Python Automation Scripts
- Perform Vulnerability Assessments
- Analyze Security Logs
- Create Exploitation Documentation
Projects:
- Project 1: Web Application Penetration Testing — Reconnaissance, Vulnerability Scanning, Exploitation, Security Reporting
- Project 2: Internal Network Penetration Test — Network Enumeration, Exploitation, Privilege Escalation, Risk Assessment
- Project 3: Wireless Security Assessment — Wireless Scanning, WPA2 Testing, Rogue AP Detection
- Project 4: Vulnerability Assessment & Reporting — Scan Enterprise Systems, Analyze Vulnerabilities, Generate Professional Reports
Scenarios:
- Web Server Compromise Investigation
- Phishing Simulation Scenario
- Internal Network Breach Simulation
- SQL Injection Attack Scenario
- Ransomware Detection Scenario
- Privilege Escalation Investigation
- Wireless Attack Investigation
- Cloud Misconfiguration Detection
With Projects, Assignments & Job-Oriented Scenarios
Course Content
Topics:
- Threat Hunting Fundamentals: what is threat hunting, methodology, proactive vs reactive security, threat hunting lifecycle, MITRE ATT&CK Framework, Cyber Kill Chain
- Concepts: Indicators of Compromise (IOC), Indicators of Attack (IOA), threat intelligence basics, threat hunting team roles, use cases, Advanced Persistent Threats (APT)
Topics:
- Networking for Threat Hunting: OSI & TCP/IP models, IPv4 & IPv6, ports & protocols, DNS & DHCP, HTTP/HTTPS analysis, VPN concepts, firewalls & IDS/IPS, proxy servers, packet flow analysis, network traffic monitoring, secure network architecture
- Tools: Wireshark, Tcpdump, Nmap, Netstat, Zeek basics
Topics:
- Linux for Threat Hunting: file system, user & group management, process monitoring, networking commands, log analysis, SSH security, cron job monitoring, service monitoring, security hardening, malware indicators
Topics:
- Windows Security Monitoring: architecture, Windows Event Logs, PowerShell basics, Active Directory basics, user activity monitoring, services monitoring, registry monitoring, Windows Defender, security features, endpoint monitoring
Topics:
- Hunting Methodologies: hypothesis-driven hunting, IOC-based hunting, behavioral analysis, threat modeling, attack surface analysis, malware analysis basics
- Hunting Practice: threat hunting workflow, threat prioritization & validation, hunting for persistence mechanisms, lateral movement detection, privilege escalation detection
Topics:
- SIEM Fundamentals: log aggregation, event correlation, dashboards & alerts, correlation rules, security analytics
- Splunk: SPL queries, threat detection searches, dashboard creation, alert tuning
- ELK Stack: Elasticsearch basics, Kibana dashboards, Logstash configuration
- Microsoft Sentinel: analytics rules, incident investigation, threat detection workbooks
Topics:
- EDR Fundamentals: EDR concepts, endpoint monitoring, process analysis, suspicious behavior detection, malware detection, ransomware indicators, persistence detection, endpoint telemetry
- Tools: Microsoft Defender, CrowdStrike, SentinelOne, Carbon Black
Topics:
- Threat Intelligence: platforms, IOC feeds, MITRE ATT&CK mapping & techniques, adversary emulation, threat actor profiling, IOC enrichment, threat intelligence automation
Topics:
- SOAR Fundamentals: what is SOAR, automation vs orchestration, security playbooks, incident automation, automated alerting, workflow & ticketing automation, threat response automation
Topics:
- Python Basics: variables & data types, loops & conditions, functions, file handling, exception handling
- Python for Threat Hunting: log parsing, IOC matching, API integration, threat intelligence automation, alert automation, security reporting, SIEM API integration, email alerting scripts
Topics:
- PowerShell Automation: Windows monitoring scripts, event log analysis, user & process monitoring
- Bash Automation: Linux log monitoring, file integrity monitoring, process monitoring scripts
Topics:
- Cloud Threat Hunting: AWS/Azure/GCP security monitoring, CloudTrail analysis, Azure Sentinel integration, cloud threat detection, cloud misconfiguration hunting
Topics:
- Detection Techniques: brute force, phishing, DNS tunneling, insider threat, data exfiltration, malware beaconing, suspicious login, privilege abuse, command & control detection, persistence hunting
Topics:
- Reporting: threat hunting reports, incident documentation, executive security reports, IOC documentation, threat intelligence reporting, security metrics & KPIs
Labs & Assignments:
- Splunk Threat Hunting Queries
- IOC Detection Lab
- Threat Intelligence Integration
- Windows Event Log Analysis
- Linux Log Monitoring
- Suspicious Process Detection
- Python Automation Scripts
- Malware IOC Analysis
- Network Traffic Analysis
- MITRE ATT&CK Mapping
- Create Threat Hunting Playbooks
- Develop Automation Scripts
- Build SIEM Dashboards
- Perform IOC-Based Hunting
- Analyze Endpoint Telemetry
- Create Security Reports
Projects:
- Project 1: Enterprise Threat Hunting Lab — Log Aggregation, IOC Detection, Alert Investigation, Threat Reporting
- Project 2: SIEM-Based Threat Detection — Correlation Rule Creation, Dashboard Development, Automated Alerting
- Project 3: Python-Based Security Automation — IOC Matching Tool, Automated Threat Reports, Email Alerting System
- Project 4: Cloud Threat Monitoring — AWS/Azure Monitoring, Threat Detection, Incident Response Workflow
Scenarios:
- Ransomware Threat Hunting
- Insider Threat Investigation
- Brute Force Detection
- Malware Infection Investigation
- Data Exfiltration Detection
- Phishing Attack Investigation
- Lateral Movement Analysis
- Cloud Threat Monitoring
- Persistence Mechanism Detection
- SIEM Alert Tuning
Course Content
Topics:
- DevSecOps Foundations: what is DevSecOps, DevOps vs DevSecOps, SDLC & Secure SDLC, Shift Left security, DevSecOps lifecycle, CI/CD security concepts
- Culture & Governance: DevSecOps culture & best practices, security in Agile & DevOps, threat modeling basics, risk management fundamentals, compliance & governance overview, roles & responsibilities
Topics:
- Networking Fundamentals: OSI & TCP/IP models, IP addressing basics, DNS/DHCP & NAT, ports & protocols
- Network Security: firewalls, VPN concepts, IDS & IPS, reverse proxy concepts, load balancer security, network segmentation, Zero Trust security basics
Topics:
- Linux for DevSecOps: file system, user & permission management, networking commands, process & package management, SSH hardening, firewall configuration, SELinux basics, system monitoring, security hardening
Topics:
- Bash Scripting: variables & loops, conditional statements, automation scripts, log monitoring scripts
- Python: variables & functions, file handling, API requests, security automation scripts, log parsing scripts
- PowerShell: Windows automation, security monitoring scripts
Topics:
- Git & GitHub/GitLab: basics, branching & merging, pull requests, security best practices, secret management in Git
- Secure Coding: OWASP Top 10, secure development guidelines, code review process, dependency security, input validation, authentication & authorization basics
Topics:
- Jenkins: architecture, secure configuration, pipeline security, credentials management, role-based access control
- GitHub Actions / GitLab CI: secure CI/CD pipelines, secrets management, pipeline hardening
- Build Security: CI/CD security best practices, artifact signing, build validation, secure deployment pipelines
Topics:
- Docker Fundamentals: architecture, container lifecycle, Dockerfile best practices
- Container Hardening: image security, vulnerability scanning, runtime security, secrets management, Docker Bench Security
- Tools: Trivy, Clair, Docker Bench, Anchore
Topics:
- Kubernetes Security: architecture, cluster security, RBAC configuration, pod security, network policies, namespace isolation, secrets management, admission controllers, hardening, secure deployments, logging & monitoring
- Tools: kube-bench, kube-hunter, Falco, Kyverno
Topics:
- AWS Security: IAM security, security groups, CloudTrail, GuardDuty, S3 security, Secrets Manager
- Azure Security: Security Center, Key Vault, Defender, IAM
- GCP Security: IAM management, cloud logging, security basics
Topics:
- SAST: SonarQube, Checkmarx basics, code security analysis
- DAST: OWASP ZAP, Burp Suite basics
- Dependency & Container Scanning: Snyk, OWASP Dependency Check, Trivy, Clair
Topics:
- Logging & SIEM: security logging concepts, centralized log management, SIEM fundamentals, Splunk basics, ELK Stack basics, threat detection, security monitoring dashboards, alerting mechanisms
Topics:
- Security Automation & SOAR: automation basics, incident response automation, security playbooks, automated threat detection, SOAR concepts, Python automation scripts, API-based automation
Topics:
- Terraform Security: secure Terraform practices, secret management, Terraform scanning
- Tools: Checkov, tfsec
- IaC Best Practices: compliance validation, infrastructure hardening
Topics:
- Compliance & Governance: CIS Benchmarks, NIST Framework, ISO 27001 basics, PCI-DSS basics, GDPR overview, security policies, audit logging, compliance monitoring
Topics:
- Incident Response: lifecycle, threat detection, malware basics, ransomware indicators, security alert investigation, threat hunting basics, root cause analysis
Labs & Assignments:
- Secure Jenkins Pipeline Setup
- Docker Image Hardening
- Kubernetes RBAC Configuration
- Vulnerability Scanning Labs
- Terraform Security Scanning
- SIEM Log Monitoring
- SonarQube Security Analysis
- Trivy Container Scanning
- Git Secret Detection
- Security Incident Investigation
Projects:
- Project 1: Secure CI/CD Pipeline — GitHub + Jenkins + Security Scanning, Automated Vulnerability Checks, Secure Deployment Workflow
- Project 2: Kubernetes Security Implementation — Cluster Hardening, RBAC Policies, Pod Security Controls
- Project 3: DevSecOps Automation Platform — Automated Security Testing, Container Scanning, Compliance Validation
- Project 4: Cloud DevSecOps Implementation — AWS/Azure Secure Infrastructure, Terraform Security, Monitoring & Logging
Scenarios:
- Container Vulnerability Investigation
- Kubernetes Security Incident
- CI/CD Pipeline Misconfiguration
- Secret Leakage Detection
- Cloud IAM Misconfiguration
- Ransomware Detection in Containers
- DevOps Security Audit
- Infrastructure Compliance Validation
- Docker Runtime Threat Detection
With Projects, Assignments & Job-Oriented Scenarios
Course Content
Topics:
- Cloud Security Foundations: what is cloud security, cloud computing models (IaaS/PaaS/SaaS), public/private/hybrid cloud, shared responsibility model, cloud threat landscape, cloud security best practices
- AI Security Foundations: introduction to AI security, AI/ML security risks
- Core Concepts: cyber security fundamentals, CIA Triad, risk/threat & vulnerability concepts, compliance & governance basics
Topics:
- AWS IAM: users/groups/roles, MFA implementation, AWS Organizations, SCP policies, security best practices
- AWS Security Services: CloudTrail, GuardDuty, Security Hub, Config, Inspector, WAF & Shield, KMS, Secrets Manager
- AWS Network Security: VPC security, security groups, NACLs, VPN security, bastion hosts
Topics:
- Azure Security: identity & access management, Azure AD security, RBAC, Azure Security Center, Microsoft Defender for Cloud, Key Vault, Sentinel basics, NSG security, Azure Firewall, policies, conditional access
Topics:
- GCP Security: IAM, VPC security, cloud logging, cloud monitoring, Security Command Center, encryption concepts, best practices
Topics:
- Cloud Network Security: secure network design, firewalls & IDS/IPS, Zero Trust security, VPN security, DNS security, load balancer & reverse proxy security, WAF, network segmentation, secure remote access
Topics:
- Docker Security: container hardening, secure images, image vulnerability scanning, runtime security, secret management
- Kubernetes Security: RBAC, pod security, network policies, namespace isolation, admission controllers, hardening, threat detection
- Tools: Trivy, Falco, kube-bench, Kyverno
Topics:
- Identity Security: IAM best practices, least privilege access, RBAC, MFA, Privileged Access Management (PAM), identity federation, SSO, Zero Trust identity security
Topics:
- SIEM & Monitoring: fundamentals, security monitoring, log analysis, threat detection, alert correlation, cloud log monitoring, threat intelligence integration
- Tools: Splunk, Microsoft Sentinel, ELK Stack, QRadar basics
Topics:
- AI Security Fundamentals: threat landscape, risks in AI systems, model vulnerabilities, adversarial attacks, AI data poisoning, prompt injection attacks, LLM security risks, AI privacy & ethics, responsible AI
Topics:
- LLM Security: architecture basics, secure prompt engineering, prompt injection detection, RAG security concepts, AI hallucination risks, data leakage prevention, secure AI APIs, AI access control, governance frameworks
Topics:
- AI Threat Detection: AI-powered threat detection, ML-based anomaly detection, security analytics using AI, AI SOC automation, behavioral threat detection, AI-assisted incident response, threat intelligence automation
Topics:
- Python Basics: variables & functions, file handling, exception handling, API integration
- Python for Security: log parsing, cloud security automation, SIEM API integration, AI security scripts, threat detection automation
Topics:
- DevSecOps Automation: secure CI/CD pipelines, Terraform security, IaC security, secret management, automated security scanning, vulnerability management, compliance automation
- Tools: Terraform, Checkov, tfsec, GitHub Actions, Jenkins
Topics:
- Incident Response & Threat Hunting: cloud incident response, AI threat hunting, malware detection, ransomware indicators, cloud forensics basics, threat hunting workflow, MITRE ATT&CK mapping, root cause analysis
Topics:
- Compliance & Governance: ISO 27001 basics, GDPR overview, HIPAA basics, PCI-DSS basics, cloud compliance frameworks, AI governance policies, security auditing, risk management
Labs & Assignments:
- AWS IAM Security Lab
- Azure Security Center Monitoring
- Kubernetes Hardening
- Docker Vulnerability Scanning
- Splunk Threat Monitoring
- Prompt Injection Detection
- AI Security Risk Assessment
- CloudTrail Log Analysis
- SIEM Alert Investigation
- Python Security Automation Scripts
- Build SIEM Dashboards
- Configure IAM Policies
- Secure Kubernetes Environment
- Develop Python Security Scripts
- Analyze AI Security Threats
- Implement DevSecOps Security Checks
- Threat Hunting Exercises
Projects:
- Project 1: Multi-Cloud Security Monitoring — AWS + Azure Security Monitoring, SIEM Integration, Threat Detection Dashboard
- Project 2: Kubernetes Security Implementation — Secure Kubernetes Cluster, RBAC & Network Policies, Runtime Threat Detection
- Project 3: AI Security Threat Detection — Detect Prompt Injection Attacks, AI Threat Monitoring, Secure LLM Access Controls
- Project 4: DevSecOps Security Pipeline — Automated Security Scanning, Terraform Compliance Checks, CI/CD Security Integration
Scenarios:
- Cloud IAM Misconfiguration Investigation
- Prompt Injection Attack Detection
- Cloud Data Leakage Scenario
- Kubernetes Security Incident
- Cloud Malware Investigation
- AI Model Abuse Detection
- Cloud Threat Hunting
- Secure AI Deployment Validation
- Ransomware Detection in Cloud
- Multi-Cloud Security Monitoring
With Projects, Assignments & Job-Oriented Scenarios
Course Content
Topics:
- AI in Cyber Security: evolution of AI in cyber security, what is Generative AI, what is Agentic AI, AI vs traditional automation, AI security landscape
- AI-Powered Security Operations: cyber security challenges, AI-powered security operations, AI use cases in SOC, AI for threat detection
- Responsible AI: responsible AI concepts, AI risks & ethics in security, future of AI in cyber security
Topics:
- LLM Fundamentals: introduction to LLMs, GPT models overview, transformer architecture basics, prompt engineering fundamentals, AI hallucination concepts, context windows & tokens
- LLM Integration: AI APIs & integrations, open source LLMs overview, Retrieval-Augmented Generation (RAG), AI knowledge bases, model fine-tuning basics
Topics:
- Agentic AI: what is Agentic AI, autonomous AI agents, decision-making concepts, workflow automation, multi-agent systems, agent orchestration, memory concepts, planning & reasoning, human-in-the-loop security, AI security operations workflows
Topics:
- Cyber Security Foundations: threats/risks & vulnerabilities, Cyber Kill Chain, MITRE ATT&CK Framework, SIEM & SOC basics, threat intelligence basics, incident response lifecycle, malware basics, authentication & authorization, cloud & endpoint security basics
Topics:
- Gen AI for SOC: AI-based threat detection, AI for log analysis, alert correlation, threat intelligence enrichment, incident summarization, malware analysis, IOC detection, AI chatbots for SOC analysts, security reporting, threat hunting
Topics:
- Splunk + AI: AI-driven log analysis, Splunk AI Assistant concepts, threat pattern recognition
- Microsoft Sentinel + AI: Copilot for Security, AI incident investigation, automated threat analysis
- ELK + AI: AI-based log correlation, intelligent alerting
Topics:
- Python Fundamentals: variables & functions, file handling, APIs & JSON, error handling
- Python for Cyber AI: security log parsing, AI API integration, threat intelligence automation, AI-powered alerting, automated incident reporting, AI chatbot development basics
Topics:
- RAG Fundamentals: introduction to RAG, vector databases basics, embeddings concepts, secure AI retrieval systems
- RAG for Security: security knowledge base creation, AI search for security logs, RAG for threat intelligence, AI-based documentation search
- Tools: LangChain basics, ChromaDB/Pinecone, OpenAI APIs, Ollama basics
Topics:
- AI Agents: security AI agent architecture, agents for incident response & threat hunting, AI-based ticketing automation, autonomous threat detection, multi-agent security systems, security workflow automation, AI decision engines
Topics:
- Cloud + AI Security: AI in AWS & Azure security, AI threat detection in cloud, AI-powered cloud monitoring, AI-based compliance monitoring, AI security analytics, cloud SIEM + AI integration
Topics:
- AI Security Risks: prompt injection & jailbreak attacks, AI hallucinations, data leakage risks, model poisoning, adversarial AI attacks
- AI Governance: secure prompt engineering, AI access control, governance basics, responsible AI policies
Topics:
- AI + DevSecOps: AI in DevSecOps, AI-based vulnerability scanning, AI for secure CI/CD, IaC security, automated compliance validation, AI security testing, AI-powered code review
Topics:
- AI Threat Hunting: AI-based behavioral analysis, UEBA concepts, anomaly detection, threat correlation & prediction, AI-powered threat intelligence, AI-driven root cause analysis
Topics:
- AI + SOAR: SOAR fundamentals, AI-based playbooks, AI incident response, ticket automation, automated threat containment, escalation workflows, security workflow orchestration
Topics:
- Monitoring & Reporting: AI security dashboards, security KPI monitoring, executive reporting, AI incident summaries, automated SOC reporting, threat intelligence dashboards
Labs & Assignments:
- AI-Based Log Analysis
- Prompt Engineering Labs
- Build Security AI Chatbot
- AI Threat Detection Scripts
- SIEM + AI Integration
- RAG-Based Security Knowledge Base
- Threat Intelligence Automation
- AI-Powered Incident Reports
- AI Security Risk Analysis
- Prompt Injection Testing
- Create AI Security Playbooks
- Develop Python AI Security Scripts
- Build RAG Pipelines
- Design AI SOC Workflows
- Implement Threat Intelligence Automation
- Create AI-Based Dashboards
Projects:
- Project 1: AI-Powered SOC Assistant — AI Chatbot for Security Operations, Threat Summarization, Incident Assistance
- Project 2: RAG-Based Threat Intelligence Platform — Security Knowledge Base, AI Search & Threat Correlation, Vector Database Integration
- Project 3: Agentic AI for Incident Response — Automated Alert Investigation, Threat Prioritization, AI Workflow Automation
- Project 4: AI Threat Hunting Platform — Behavioral Threat Detection, AI-Based Anomaly Detection, SIEM Integration
Scenarios:
- AI-Based Phishing Detection
- Prompt Injection Investigation
- AI-Assisted Malware Analysis
- AI Incident Response Automation
- Threat Hunting using AI
- Cloud Threat Monitoring with AI
- Automated SOC Alert Investigation
- AI-Driven Root Cause Analysis
- AI Security Governance Scenarios
Tools & Technologies
Every tool and library listed here is installed, configured and used in a hands-on lab session.
Kali Linux
Penetration Testing OS
Nmap
Network Scanning
Burp Suite
Web App Security Testing
Metasploit
Exploitation Framework
Nessus
Vulnerability Scanner
OpenVAS
Open-Source Vulnerability Scanner
Splunk
SIEM Platform
Microsoft Sentinel
Cloud-Native SIEM
Wazuh
Open-Source SIEM/XDR
Elastic Stack (ELK)
Log Management
CrowdStrike
Endpoint Detection & Response
Microsoft Defender
Endpoint Protection
Docker
Containerization
Kubernetes
Container Orchestration
Terraform
Infrastructure as Code
Trivy
Container & IaC Scanning
Git & GitHub
Version Control
Jenkins
CI/CD Automation
SonarQube
Code Quality & Security Analysis
Python
Security Automation
VS Code
Development IDE
Wireshark
Packet Analysis
You don't just learn Cyber Security. You defend and attack real systems.
Seven flagship projects drawn from the programme's 30+ projects and live challenges — spanning enterprise monitoring, ethical hacking, SOC dashboards, threat hunting, DevSecOps pipelines, cloud security and an AI-powered SOC assistant.
Enterprise Security Monitoring Setup
→Centralized Monitoring Environment
→Linux Log Collection
→Windows Log Collection
Configure a centralized monitoring environment across Linux and Windows systems
Set up a centralized monitoring environment and collect logs from both Linux and Windows systems — the foundation every SOC team builds on before adding SIEM correlation and alerting.
Web Application Penetration Testing
→SQL Injection Testing
→XSS Testing
→Authentication Bypass Testing
Test a live web application for SQL Injection, XSS and authentication bypass
Run a full penetration test against a web application covering SQL Injection, Cross-Site Scripting and authentication bypass testing — the same engagement structure used in professional pentest reports.
SOC Monitoring Dashboard
→Splunk / Kibana Dashboard Build
→Real-Time Alerting
Build a real-time Splunk/Kibana dashboard with live alerting
Build a SOC monitoring dashboard in Splunk or Kibana with real-time alerting — turning raw log data into the same live view a SOC Analyst watches every shift.
IOC-Based Threat Hunting
→IOC Identification
→Threat Validation Workflow
Hunt for malicious indicators of compromise and validate real threats
Identify malicious Indicators of Compromise across logs and endpoints, then run them through a threat validation workflow — the hands-on hunting process behind every real threat-hunting engagement.
Secure CI/CD Pipeline Project
→Jenkins Security Integration
→Automated Vulnerability Scanning
Integrate security scanning directly into a Jenkins CI/CD pipeline
Integrate Jenkins security scanning into a CI/CD pipeline with automated vulnerability scanning at every build — shifting security left instead of bolting it on after deployment.
AWS Security Monitoring Project
→IAM Auditing
→CloudTrail Monitoring
Audit IAM and monitor CloudTrail across an AWS environment
Audit IAM configurations and monitor CloudTrail logs across an AWS environment — the same review a Cloud Security Engineer runs before an enterprise cloud audit.
AI-Powered SOC Assistant
→Security Chatbot
→AI Incident Summarization
Build a security chatbot that summarizes incidents for SOC analysts
Build an AI-powered SOC assistant — a security chatbot that summarizes incidents in plain language, giving analysts an AI-generated first read before they dive into raw logs.
All 7 flagship projects go directly into your portfolio & resume — reviewed by mentors before you graduate.
See Sample Project ReportsUpcoming Batches
| Start Date | Time | Day | Mode | Enroll |
|---|---|---|---|---|
| 10/08/2026 | 08:00 PM – 09:30 PM | Weekday | Online | Enroll Now |
Why Radical Technologies
- Highly practical oriented training
- Installation support on your system
- 24/7 Email and Phone support
- 100% Placement Assistance
- Global Certification Preparation
- Trainer-Student Interactive Portal
- Assignments and Projects by Mentors
- Weekend / Weekdays / Morning / Evening batches
- 80:20 Practical and Theory ratio
- Real-life Case Studies
- Easy make-up for missed sessions
- PSI | Kryterion | Certification Test Centers
- Lifetime Video Classroom Access (coming soon)
- Resume Prep and Mock Interviews
- Learn 300+ courses at your own time
- 50,000+ Satisfied Learners
- Course Completion Certificate
- Practical Labs available
- Mentor Support available
- Doubt Clearing Session available
- 10% Discounted Global Certification
Like the Curriculum? Let's Get Started
Join 50,000+ students already enrolled at Radical Technologies
Global Certification
Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from Ethical Hacking and SOC Operations to Cloud Security, DevSecOps and AI Security — empowering individuals to stay ahead in the ever-evolving cyber threat landscape.
Career Services
Our dedicated Placement Support Team works with you from day one — resume forwarding, technical interview preparation, HR interview preparation, career guidance, soft skills training, mock interviews and internship assistance, with access to 850+ Hiring Partners and placement assistance until you get hired.
Career Support
Join our Brush-up Session & get support until you find a job!
Get StartedRadical Learning Eco-System
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