Professional Certification in Cybersecurity: Essentials, Analyst with AI

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About Course

This job-ready program takes you from absolute fundamentals to an entry-level Security Operations Center (SOC) Analyst who can also leverage AI for faster detection, triage, and response. You’ll learn networking and OS basics, threat landscape, log analysis, SIEM/EDR/SOAR tooling, the MITRE ATT&CK framework, playbook-driven incident response, and how to use AI (LLMs and automation) to boost analyst productivityβ€”drafting queries, summarizing alerts, writing detections, and generating reports.
You’ll practice on realistic datasets, hands-on labs, blue-team scenarios, and a capstone project that simulates a complete incident from alert β†’ investigation β†’ containment β†’ recovery β†’ reporting. The syllabus references common enterprise tools (Splunk/Microsoft Sentinel/ELK, CrowdStrike/Microsoft Defender, TheHive/Wazuh-like stacks) and emphasizes Indian business contexts (cost-effective open-source options, privacy & governance basics).

Deliverables you’ll create:

  • Personal homelab (Windows + Linux) with safe sample logs

  • Detection rules & SIEM queries (KQL/SPL/Lucene)

  • IR playbooks and runbooks (PDF + markdown)

  • Executive incident report (non-technical) + technical post-incident report

  • AI prompts library for SOC (triage, summarization, detection drafting)

  • Capstone walkthrough and evidence pack

Prerequisites (recommended, not mandatory): Basic computer use, curiosity, willingness to lab.

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What Will You Learn?

  • Core security concepts: CIA triad, threats, vulnerabilities, risks, controls
  • Networking & OS essentials: TCP/IP, ports, DNS, HTTP, Linux/Windows basics
  • Log fundamentals: what to collect, where to find it, parsing & normalization
  • SIEM/EDR/SOAR: concepts, workflows, building detections & dashboards
  • Threat intel & ATT&CK mapping: TTPs, use cases, correlation strategies
  • Incident Response: triage β†’ analysis β†’ containment β†’ eradication β†’ recovery β†’ lessons learned
  • Cloud & identity basics: SSO, MFA, IAM pitfalls, SaaS telemetry essentials
  • Detection engineering: crafting rules, reducing false positives, testing
  • AI for SOC: LLM prompts, enrichment, summarization, report drafting, playbook generation, lightweight automation with Python
  • Compliance & governance essentials: policies, asset inventory, risk registers, acceptable use, evidence hygiene
  • Professional skills: shift handovers, ticket hygiene, clean documentation, stakeholder communication
  • Portfolio & interview readiness: showcasing labs, reports, detections, and capstone

Course Content

Module 1 β€” Cybersecurity Foundations & AI Primer (β‰ˆ8 hrs)

  • L1.1 Security Basics
  • L1.2 SOC 101
  • L1.3 Assets & Telemetry
  • L1.4 AI in Cyber (Analyst’s Primer)
  • Lab (Module 1)

Module 2 β€” Networking, Operating Systems & Security Ops Essentials (β‰ˆ10 hrs)

Module 3 β€” SOC Tooling & Telemetry: SIEM/EDR/SOAR in Practice (β‰ˆ14 hrs)

Module 4 β€” Threat Detection & Incident Response with MITRE ATT&CK (β‰ˆ14 hrs)

Module 5 β€” AI for SOC: Speed, Accuracy & Automation (β‰ˆ12 hrs)

Module 6 β€” Governance, Soft Skills & Capstone Simulation (β‰ˆ8 hrs)

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