Cybersecurity & AI Security Program

Cybersecurity & AI Security is a live, instructor-led program designed to build strong skills in protecting digital systems, securing cloud infrastructure, and defending AI-driven applications against modern cyber threats.

  • This 24-week structured journey includes real cybersecurity labs, 10+ hands-on workshops, 30+ real-world security use cases, and masterclasses with continuous mentorship.
  • You will work with Linux security environments, network analysis tools, vulnerability scanners, SIEM platforms, cloud security frameworks, and AI-driven threat detection systems.
  • The program also provides an option to pursue industry-recognized certifications including CEH, CompTIA Security+, CISSP, and Microsoft Cybersecurity Architect credentials.
Format Live Instructor-Led
Duration 24 Weeks | 180 Hours
Admission Deadline 30 April 2026
Case Studies & Projects 30+
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Key Program Takeaways

Build real cybersecurity capability through guided security labs, threat analysis workflows, and project-based learning designed to protect modern digital and AI-powered systems.

Security Foundations

Cyber Threats, Security Principles, Risk Management

Network Security

Firewalls, Intrusion Detection, Network Monitoring

Ethical Hacking

Vulnerability Scanning, Penetration Testing, Exploit Analysis

Cloud & AI Security

Cloud Security Controls, AI System Protection

Security Operations

Incident Response, Threat Intelligence, SIEM Tools

Capstone Portfolio

End-to-End Cybersecurity Defense Project

List of Modules in this Program

Hands-On Roadmap

Weeks 1–4

Security Foundations & Environment Setup

  • Set up Linux security lab environments and tooling
  • Understand threat landscapes and core risk models
  • Learn baseline hardening and secure configuration practices
  • Hands-on: Endpoint Hardening Lab, Security Baseline Checklist
Weeks 5–8

Network Security & Monitoring

  • Configure firewalls and intrusion detection controls
  • Analyze packet/network behavior for suspicious activity
  • Build incident triage playbooks for network attacks
  • Hands-on: Packet Analysis Lab, IDS Alert Investigation
Weeks 9–12

Ethical Hacking & Vulnerability Management

  • Perform vulnerability scanning and prioritization workflows
  • Execute controlled penetration testing exercises
  • Assess exploit paths and mitigation strategies
  • Hands-on: Web App VAPT, Remediation Verification
Weeks 13–16

Cloud & AI Security

  • Apply IAM, encryption, and access controls in cloud environments
  • Secure APIs and AI-assisted application surfaces
  • Implement cloud posture and workload protection checks
  • Hands-on: Cloud Security Baseline, API Threat Modeling
Weeks 17–20

Security Operations & Incident Response

  • Work with SIEM tooling for log analysis and alert correlation
  • Build incident response workflows and containment playbooks
  • Integrate threat intelligence into detection workflows
  • Hands-on: SOC Alert Investigation, Incident Simulation Exercise
Weeks 21–24

Capstone Cybersecurity Defense Project

Design and implement an end-to-end cybersecurity defense solution.
  • Architect defensive controls for application, network, and cloud layers
  • Integrate detection, response, and reporting workflows
  • Present mitigation strategy and measurable security outcomes
  • Capstone project options:
  • Enterprise SOC Monitoring & Incident Response Blueprint
  • Secure Cloud Application Defense Model
  • AI-Assisted Threat Detection Workflow

Top Companies Hiring Cybersecurity & AI Security Engineers

Global security teams across technology, consulting, cloud, fintech, and digital enterprises hiring for cybersecurity, cloud security, and AI security roles.

Amazon Google Microsoft Meta Apple IBM NVIDIA OpenAI CrowdStrike Palo Alto Networks Fortinet Cisco Cloudflare McKinsey & Company BCG Bain & Company Deloitte Accenture Goldman Sachs JPMorgan Chase Morgan Stanley Flipkart Paytm Razorpay Swiggy Zomato PhonePe Infosys TCS Wipro Cognizant

Some of our exceptional outcomes with top companies.

Master Technologies

Core cybersecurity, cloud security, threat detection, and AI security technologies used throughout the program.

Linux logoLinux Security Environment
Network Analysis Tools
Vulnerability Scanners
SIEM Platforms
Penetration Testing Toolkits
Cloud Security Frameworks
IAM & Access Controls
Endpoint & Log Monitoring
AI-Driven Threat Detection
Python logoPython for Security Automation
SQL logoSQL for Security Analytics
AWS Security Services
Azure Security Stack
Google Cloud security logoGoogle Cloud Security
Docker logoContainer Security Basics
Git logoGit & GitHub

Eligibility & Admission

A fully online, straightforward admissions process with advisor support throughout enrollment.

Who Can Apply Eligibility requirements for enrollment
  • Graduates in computer science, IT, electronics, cybersecurity, engineering, or related disciplines.
  • Final-year undergraduate students completing their degree before the program concludes.
  • Working professionals in IT, cloud, SOC, DevOps, and security operations looking to build cybersecurity and AI security capability.
Admission Process Simple, structured steps from application to enrollment
  1. Application Submission: Complete a short online application with academic/professional details.
  2. Profile Review: Selected applicants receive official admission confirmation.
  3. Seat Confirmation: Reserve your seat with INR 10,000.
  4. Fee Completion: Pay the remaining fee within 7 days of confirmation or before program start, whichever is earlier.
Learner Assistance Advisor support throughout your admission journey

Program advisors are available 7 days a week, 10:00 AM to 7:00 PM.

Email: hello@42learn.com

Phone: 080 4736 3406

Disclaimer: Outcome, career progression, and salary information is indicative only; individual results vary by background, experience, and market conditions. Certificates/credits are governed by the issuing institution's policies where external partners are involved.