Cybersecurity & SOC Analyst Training Course in Ahmedabad

Module 1: Introduction to Cybersecurity

• • What is cybersecurity, information security and cyber defense?
• • Confidentiality, integrity and availability (CIA triad).
• • Common cyber threats, attack surfaces and vulnerabilities.
• • Malware, phishing, ransomware and social engineering concepts.
• • Authentication, authorization and access control.
• • Security policies, risk assessment and security awareness.
• • Introduction to blue-team security and SOC operations.
• • Cybersecurity ethics, legal boundaries and responsible lab practice.

Module 2: Networking Fundamentals

• • OSI and TCP/IP models.
• • IP addresses, subnetting and MAC addresses.
• • DNS, DHCP, ARP, routing and switching.
• • TCP, UDP, ports and common network services.
• • HTTP, HTTPS, SSH, SMTP and DNS traffic.
• • Firewalls, NAT, VPNs and network segmentation.
• • Reading network diagrams and connection logs.
• • Using ping, traceroute, nslookup and basic diagnostic commands.

Module 3: Linux & Windows Operating Systems

• • Filesystems, users, groups and permissions.
• • Linux shell, directories, processes and services.
• • Windows accounts, services, Task Manager and Event Viewer.
• • System logs, authentication events and process activity.
• • Basic PowerShell and Linux command-line operations.
• • File hashes, timestamps and system inventory.
• • Patching, endpoint protection and secure configuration.
• • Collecting logs for security investigations.

Module 4: Security Monitoring & Log Analysis

• • Types of security logs and telemetry.
• • Authentication, endpoint, firewall and DNS logs.
• • Event timestamps, time zones and log normalization.
• • Failed login patterns and suspicious account activity.
• • Distinguishing normal behavior from anomalies.
• • Indicators of compromise (IOCs).
• • Alert triage, severity and prioritization.
• • Building incident timelines from multiple log sources.
• • Documenting evidence and investigation findings.

Module 5: Network Security & Traffic Analysis

• • Firewalls, network access control and segmentation.
• • Common network attacks and defensive indicators.
• • Packet capture fundamentals using Wireshark.
• • DNS, TCP handshake and HTTP traffic analysis.
• • Recognizing unusual connections and traffic patterns.
• • IDS/IPS concepts and network monitoring.
• • Secure remote access and VPN concepts.
• • Analyzing instructor-provided PCAP files in isolated labs.

Module 6: SIEM Fundamentals with Splunk

• • Security Information and Event Management concepts.
• • Log ingestion, data sources, indexes and fields.
• • Searching and filtering security events.
• • Splunk Search Processing Language fundamentals.
• • Time-based searches and event correlation.
• • Basic dashboards, reports and scheduled searches.
• • Creating simple alert rules from sample data.
• • Investigating authentication and network anomalies.
• • Introduction to alert noise and false-positive reduction.

Module 7: Microsoft Sentinel & Cloud Security Monitoring

• • Cloud security and identity fundamentals.
• • Microsoft Entra ID and authentication logs.
• • Microsoft Sentinel architecture and workspaces.
• • Connecting supported log sources.
• • Kusto Query Language (KQL) fundamentals.
• • Filtering, summarizing and correlating security events.
• • Analytics rules, incidents, workbooks and hunting queries.
• • Alert investigation and incident assignment.
• • Introduction to Microsoft Defender security products.

Module 8: Identity, Endpoint & Email Security

• • Identity security, MFA and least-privilege access.
• • Password attacks and suspicious authentication patterns.
• • Endpoint Detection and Response (EDR) fundamentals.
• • Windows process, service and login investigations.
• • Email headers, phishing indicators and suspicious attachments.
• • Safe analysis of phishing examples.
• • Endpoint alerts and suspicious file behavior.
• • Containment concepts and account protection.
• • Mapping observations to relevant MITRE ATT&CK techniques.

Module 9: Threat Intelligence & MITRE ATT&CK

• • Threat actors, campaigns, tactics, techniques and procedures.
• • MITRE ATT&CK framework and defensive use cases.
• • Indicators of compromise and their limitations.
• • IP, domain, URL and file-hash intelligence.
• • Using VirusTotal and AbuseIPDB responsibly.
• • IOC enrichment and confidence assessment.
• • Threat intelligence feeds and reputation checks.
• • Mapping alerts to potential attack techniques.
• • Avoiding false conclusions based on a single indicator.

Module 10: Incident Response & Investigation

• • Incident identification, triage and classification.
• • Incident response lifecycle and escalation procedures.
• • Evidence preservation and chain-of-custody concepts.
• • Investigating suspicious logins and compromised accounts.
• • Malware and ransomware alert investigation using safe samples and logs.
• • Containment, eradication and recovery planning.
• • Communication with IT teams and incident stakeholders.
• • Incident timelines, reports and lessons learned.
• • Tabletop exercises and post-incident reviews.

Module 11: AI for Security Operations

• • AI applications in security monitoring and alert triage.
• • Using AI assistants to summarize alerts and log events.
• • Drafting KQL and Splunk searches with AI assistance.
• • Creating investigation timelines and incident summaries.
• • Threat-intelligence enrichment and report drafting.
• • Microsoft Security Copilot and supported workflows.
• • Verifying AI explanations against original evidence.
• • Hallucinations, false positives and automation risks.
• • Confidentiality, privacy and safe use of security data.
• • Human approval before high-impact response actions.

Module 12: Python & Security Automation Fundamentals

• • Python fundamentals for security analysts.
• • Variables, collections, functions and exception handling.
• • Reading and processing CSV, JSON and log files.
• • Extracting and validating indicators from sample logs.
• • Filtering and summarizing event records.
• • Automating repetitive report preparation.
• • Calling approved threat-intelligence APIs.
• • Safe API-key management and rate limits.
• • AI-assisted scripting, debugging and output validation.

Module 13: Threat Hunting & Detection Engineering

• • Hypothesis-driven threat hunting.
• • Creating basic detection rules from known behaviors.
• • KQL and SPL queries for suspicious activity.
• • Correlating identity, endpoint and network events.
• • Identifying detection gaps and false positives.
• • MITRE ATT&CK mapping for detection coverage.
• • Tuning alerts and documenting detection logic.
• • Introductory security automation and response playbooks.
• • Measuring detection effectiveness using lab scenarios.

Module 14: Security Policies, Vulnerability Management & Cloud Fundamentals

• • Vulnerability, threat and risk fundamentals.
• • Patch management and secure configuration.
• • CVEs, CVSS scores and prioritization concepts.
• • Asset inventory and exposure management.
• • Cloud shared-responsibility models.
• • Identity and access management in cloud environments.
• • Security baselines, backups and logging requirements.
• • Security awareness, governance and incident escalation.
• • Introduction to security compliance and audit evidence.

Module 15: Portfolio, Interview & Career Readiness

• • SOC analyst responsibilities and shift-based workflows.
• • Alert triage and escalation exercises.
• • Networking, Linux and Windows security interview questions.
• • Basic SPL and KQL practical assessments.
• • Incident response and threat-hunting case studies.
• • Security report writing and evidence presentation.
• • Preparing a portfolio using sanitized lab artifacts.
• • Résumé preparation and mock SOC interviews.
• • Introduction to relevant certifications, including Security+ and Microsoft SC-200.
• • Ethical boundaries and continuous learning in cybersecurity.

What is the Cybersecurity Fundamentals & SOC Analyst Training Course?

This course introduces students to cybersecurity fundamentals, network security, threat detection, security monitoring, log analysis and Security Operations Centre (SOC) workflows. It focuses on practical skills used to identify, investigate and respond to potential security incidents.

Who can join the Cybersecurity Fundamentals & SOC Analyst course?

BE, BTech, BCA, MCA, BSc IT, MSc IT, computer engineering students, IT graduates, freshers and working professionals interested in cybersecurity can enrol. Beginners who are willing to learn networking and Linux fundamentals can also start.

Can I learn cybersecurity from scratch with no prior experience?

Yes. The training can start from the basics of computer networks, operating systems, Linux, security concepts and common cyber threats before progressing to security monitoring and SOC operations.

What is the difference between cybersecurity and SOC Analyst training?

Cybersecurity is the broader field of protecting systems, networks and data. SOC Analyst training focuses more specifically on monitoring security events, investigating alerts, analysing logs and supporting incident response. This course introduces cybersecurity fundamentals before progressing to SOC tasks.

Is this course suitable for non-IT students?

The course is primarily designed for students and graduates interested in technical IT careers. Non-IT students can also begin with foundational computer, networking and operating-system concepts, although additional preparation may be needed.