Beginner

20 Hours

10 Modules

AI-Driven Cyber Security

SOC Analyst Job-Ready Program (L1-L2)

A specialized job-ready program focused on practical SOC Analyst skills assisted by AI. Designed for beginners and career switchers to master log analysis, incident response, and SIEM fundamentals through hands-on labs.

Course Overview

Duration

20 Hours

Level

Beginner

Structure

10 Modules

Format

70% Practical Training

What You'll Learn

Key skills and knowledge areas covered in this course

Capstone: End-to-End SOC Incident Handling

Capstone: AI-Assisted SOC Investigation

Capstone: Threat Intelligence Use Case

SOC foundations: Defensive perspective vs IT/NOC

Core skills: Log analysis and pattern recognition

Real-world SIEM triage and decision making

Incident Response lifecycle from detection to closure

AI-Assisted analysis and investigation

Threat Intelligence & Hunting for beginners

Job readiness: Mock SOC shifts and resume positioning

Live sessions + hands-on labs with real scenarios

Course Curriculum

Detailed breakdown of modules and topics

Session 1: Introduction to Cyber Security & SOC

Defensive perspective of Cyber Security
SOC vs IT vs NOC roles
Daily responsibilities of a SOC Analyst
Log activity mapping and identification

Session 2: How SOC Works in Real Companies

SOC architecture (People, Process, Technology)
SOC workflow: Logs to Incident Response
Shift-based operations and documentation
Escalation hierarchy and SOPs

Session 3: Logs & Events – Core SOC Skill

Understanding log types: Network, App, System
Event vs Alert vs Incident
Analyzing raw logs vs human-readable data
Spotting normal vs suspicious behaviors

Session 4: Cyber Attacks from SOC Perspective

Identifying Brute Force and Credential Abuse
Malware and Phishing markers in logs
What SOC can detect vs what SOC cannot
Log pattern mapping to attack types

Session 5: SIEM Fundamentals for SOC Analysts

SIEM vs Log Server functionality
Dashboards, alerts, and severity management
Analyst responsibilities inside SIEM
Assignments and initial action workflows

Session 6: Alert Triage & Decision Making

Defining True Positives vs False Positives
Severity vs Priority in triage
Escalation rules and decision justification
Analyzing multi-alert scenarios

Session 7: Incident Handling & Documentation

Defining the incident lifecycle
Incident detection, containment, and closure
Role of L1 vs L2 in incidents
Incident reporting and root cause analysis

Session 8: AI in SOC – AI-Assisted Analysis

AI use-cases in security operations
Responsible AI usage and limitations
AI-driven log explanation and summaries
Human-in-the-loop decision making

Session 9: Threat Intelligence & Hunting

Understanding IOCs (IP, URL, Hash rep)
Contextual analysis vs raw indicators
Proactive vs reactive monitoring
Basic threat hunting hypotheses

Session 10: Job Readiness & Mock SOC Shift

Mock SOC shift: Real-time alert handling
Interview techniques for 'No Experience'
Resume positioning for SOC roles
Mock interview and technical review

Course Information

Prerequisites

Basic computer knowledge and passion to start a cybersecurity career. No prior security experience needed.

Certification

AI-Driven Cyber Security Specialist Certificate

Career Opportunities

SOC Analyst L1/L2, Security Operator, Junior Forensic Analyst, AI-Security Assistant

Investment

Contact for Pricing

Ready to Start?

Join the ranks of elite cybersecurity professionals. Fast-track your career today.

MSME Registered (UDYAM-MH-26-0806430)

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