Forensics

Beginner to Mastery

Advanced Cyber Investigation and Forensics Specialist Program

Comprehensive training in digital forensics and cyber investigations.

Hands-on projects simulating real-world cybercrime scenarios.

Practical exposure to evidence collection, memory analysis, and OS forensics.

Curriculum aligned with latest tools, techniques, and legal frameworks.

Group Enrollment with Friends or Colleagues

Advanced Cyber Investigation and Forensics Specialist Program

Course Duration

400 Hours

Next Batch

16 Sept 2025

Course Material

Live. Online. Interactive.

Expert guidance and mentorship for building industry-ready skills.

Highlight Advanced Cyber Investigation and Forensics Specialist Program

KEY HIGHLIGHTS OF ADVANCED CYBER INVESTIGATION AND FORENSICS SPECIALIST PROGRAM PROGRAM

Weekly sessions with industry professionals
Dedicated Learning Management Team
400 hours of hands-on learning experience
Over 138 hours live sessions spread across 06 months
138 hours of self-paced Learning
Learn from Industry Experts.

More than 10+ industry-related projects and case studies
One-on-One with Industry Mentors
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking

WHY JOIN ADVANCED CYBER INVESTIGATION AND FORENSICS SPECIALIST PROGRAM PROGRAM?

Comprehensive Curriculum

Covers digital forensics from fundamentals to advanced areas like memory forensics, network forensics, malware analysis, and incident response.

Practical Experience

400+ hours of hands-on learning with 138+ live sessions, self-paced learning, and real-world capstone projects.

Industry-Standard Tools

Gain expertise in tools like FTK Imager, Volatility, Wireshark, Cyber Triage, Autopsy, and Cellebrite.

Expert Mentorship

Learn directly from IIT faculty, IIM/NIT experts, and seasoned industry professionals with real-world experience.

UPCOMING BATCH:

16 Sept 2025

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

Batch	Batch Type
Online Live Instructor Led Session	Full-Time
Online Live Instructor Led Session	Part-Time

Regional Timings

Batch	Batch Type
IST (India Standard Time)	09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia	06:30 PM–09:30 PM
UAE / Oman	07:30 PM–09:00 PM

Advanced Cyber Investigation and Forensics Specialist Program OVERVIEW

The program is efficiently designed to equip aspiring professionals with significant knowledge, practical expertise and experience to flourish in the changing field of digital forensic and the reaction of the event. The course spreads a comprehensive spectrum of subjects starting with basic concepts in digital forensic and moving into special areas such as memory forensic, network forensic, malware analysis and comprehensive event reaction strategies. The program ensures a strong learning experience, combining the theoretical understanding with the real -world application, and prepares individuals for a successful career in the rapidly developed field of cyber security and digital investigation.

ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE

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Advanced Cyber Investigation and Forensics Specialist Program Objectives

The course is designed to provide participants with a wide understanding of digital forensic and event reaction. It includes major concepts such as evidence handling, legal ideas and forensic investigation life cycle. Participants will achieve practical skills in preserving and collecting digital evidence, while Windows and Linux will master the system and OS forensic for the atmosphere. The program also delays memory forensic, network forensic and log analysis to identify and investigate potential security threats. The learners will develop expertise in malware analysis, event reaction and clear, legally making sound forensic reports. Through the hands-on Capstone projects, the participants will apply their skills to the real-world landscapes, preparing them for a successful career in digital forensic, cyber security and reaction to the event.

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Why Learn Advanced Cyber Investigation and Forensics Specialist Program ?

Master Digital Forensics Principles

Understand core concepts such as evidence handling, the forensic investigation lifecycle, and methodologies used in modern digital forensics.

Collect and Analyze Digital Evidence

Develop skills to acquire and examine evidence from Windows, Linux, mobile, memory, and cloud-based systems.

Advance Incident Response Skills

Learn to perform incident response and malware analysis, identify attack vectors, and implement effective recovery strategies.

Utilize Industry-Leading Tools

Gain hands-on experience with forensic tools and techniques to uncover hidden data, trace cyber incidents, and support legal investigations.

Develop Professional Forensic Reporting

Build expertise in creating clear, concise, and comprehensive forensic reports tailored for both technical and non-technical audiences.

Gain Real-World Experience

Engage in practical projects, labs, and case studies simulating real cybercrime scenarios to prepare for industry challenges.

Program Advantages

Gain hands-on experience with industry-standard tools like FTK Imager, Volatility, and Cyber Triage.

Learn from experienced professionals in digital forensics, cybersecurity, and incident response.

Engage in practical labs and real-world case studies for deeper understanding.

Explore comprehensive topics like evidence collection, Windows and Linux forensics, memory analysis, and cyber law.

Work on hands-on projects analyzing cyber-attacks, performing malware analysis, and simulating corporate cyber incidents.

Flexible learning through a mix of live sessions, recorded materials, and self-paced assignments.

Understand global and regional legal frameworks, data privacy regulations, and the chain of custody.

Ensure compliance with legal standards for handling digital evidence.

Advanced Cyber Investigation and Forensics Specialist Program program Certifications

Nasscom

Course Completion

Project Completion

Advanced Cyber Investigation and Forensics Specialist Program Curriculum

Lecture 01: Introduction to Digital Forensics: Definition, history, scope, and key areas of application, Types of Digital Forensics: Computer forensics, Mobile forensics, Network forensics, Memory forensics, & Cloud forensics

Lecture 02: Forensic Investigation Lifecycle and Roles: Phases of forensic investigation, roles and responsibilities of a forensic investigator, and tools overview.

Lecture 03: Principles of Evidence Handling: Best practices, importance of evidence integrity, contamination prevention, and documentation.

Lecture 04: Imaging Techniques - Part 1: Introduction to disk imaging concepts, bit-by-bit imaging, and types of forensic imaging. Part 2: Practical use of imaging tools and steps to create and verify a forensic image.

Lecture 05: Chain of Custody and Legal Considerations: Importance of chain of custody, documentation practices, admissibility in court, and hash verification for evidence integrity using MD5 and SHA-256.

Lecture 06: Overview of Cyber Laws: Introduction to cyber laws, importance of data privacy laws, and key global frameworks (e.g., GDPR, HIPAA). Indian cyber laws: IT Act, 2000 (key sections, amendments).

Lecture 07: Digital Evidence Regulations and Case Studies: Admissibility of digital evidence, legal considerations, and analysis of notable Indian and global cybercrime cases.

Lecture 08: Evidence Types: Overview of physical, digital, and biological evidence, classification of evidence (direct, indirect, circumstantial), and their relevance in investigations.

Lecture 09: Forensic Best Practices: Importance of documentation, chain of custody, differences between digital and traditional forensics, and integration of both disciplines in investigations.

Lecture 10: Introduction to Windows File Systems: Overview of Windows file systems (FAT, NTFS, exFAT), structure, file allocation tables, and their relevance in forensics. User Activity Analysis: Techniques to analyze user activity (recent files, run commands, etc.), user profiles, and traces left in the Windows OS.Tools: FTK Imager (for disk imaging), Cyber Triage (for initial system analysis).

Lecture 11: Registry Forensics: Understanding the Windows Registry, key locations, user activity tracking, evidence recovery from the Registry. Tools: FTK Imager (for registry extraction), Belkasoft RAM Capturer (for capturing live memory to analyze registry keys in RAM).

Lecture 12: Event Logs: Analyzing Windows Event Logs (Security, Application, System), event log sources, and event timeline construction.Tools: Cyber Triage (for parsing and analyzing event logs), Belkasoft Evidence Center (for advanced event log analysis).

Lecture 13: Deleted File Recovery: Methods to recover deleted files, understanding NTFS file slack, unallocated space, and using tools (e.g., FTK Imager, EnCase) to recover files. Tools: FTK Imager (for carving deleted files), Belkasoft RAM Capturer (for recovering volatile data).

Lecture 14: Application Traces & Hands-on Lab: Investigating traces left by applications (browser history, chat logs, application logs) and a practical lab session analyzing Windows file system images.Tools: Cyber Triage (for analyzing application traces), FTK Imager (for application artifact recovery), Belkasoft Evidence Center (for advanced application analysis).

Lecture 15: Introduction to Linux File Systems (ext3/ext4): Overview of ext3/ext4 file systems, inode structure, and journaling. Forensic relevance for recovering deleted files.File System Structure: Analyzing ext3/ext4 file systems, inodes, and block structure. Recovering orphaned and deleted files.Tools: Guymager(disk imaging), Sleuth Kit, TestDisk.

Lecture 16: Filesystem Metadata & Evidence Recovery: Exploring inode metadata (timestamps, permissions) and recovering deleted files. Tools: Extundelete, Scalpel, Guymager.

Lecture 17: Analyzing Linux System Logs: Examining logs (auth.log, syslog) to track user activity, logins, and suspicious actions.SSH Logs & Cron Jobs: Investigating SSH logs for unauthorized access and analyzing cron jobs for suspicious activity.Tools: Syslog, journalctl, rkhunter, Guymager.

Lecture 18: Linux Anomaly Detection & Scripts: Writing bash scripts to detect anomalies, such as file modifications or unauthorized processes.Tools: Lsof, Netstat, Guymager.

Lecture 19: Web Server Logs: Analyzing web server logs (Apache/Nginx) and correlating with file system artifacts. Network forensics for abnormal file system activities. Tools: Wireshark, Guymager, Apache/Nginx logs.

Lecture 20: Introduction to Memory Forensics & Capture: Overview of memory forensics, tools for capturing memory (e.g., WinPMEM, DumpIt), and its importance in investigations.Topics: Memory dump acquisition, types of memory analysis.Tools: WinPMEM, FTKImager

Lecture 21: Analyzing Memory Dumps & Processes: Analyzing memory dumps to identify running processes, system activity, and malicious artifacts. Topics: Process listing, investigating system events in memory. Tools: Volatility.

Lecture 22: Detecting Malware & Recovering Encryption Keys: Using memory forensics to detect malware, analyze rootkits, and recover encryption keys from memory. Topics: Malware detection techniques, tracing encryption keys and passwords. Tools: Volatility, Kaspersky Memory Dump Analyzer.

Lecture 23: Incident Response Overview: Definitions, objectives, and importance of IR in cybersecurity. Overview of the 6 IR phases: Preparation, Identification, Containment, Eradication, Recovery, and Lessons Learned.

Lecture 24: Preparation Phase: Setting up incident response policies, playbooks, and tools. Key elements like communication plans, response teams, and proactive measures. Introduction to IR tools like SIEM, SOAR, and ticketing systems.

Lecture 25: Identification and Triage: Recognizing incidents through monitoring, logs, and alerts. Categorizing and prioritizing incidents based on severity. Hands-on practice using Splunk/ELK to analyze alerts and logs for threat identification.

Lecture 26: Containment, Root Cause Analysis (RCA), and Eradication – Immediate damage control, temporary vs. long-term containment. Importance of RCA in understanding the attack origin and vector, RCA with Cyber Triage, malware removal, patching, and hardening.

Lecture 27: Recovery and Lessons Learned: Steps to restore systems and validate their integrity. Developing a 'lessons learned' report to improve future responses. Role of forensic investigations in refining IR processes.

Lecture 28: Introduction to Forensic Reporting – Objectives, importance of documentation, and key report elements: Executive summary, methodology, findings, and recommendations.

Lecture 29: Structuring Reports for Different Audiences – Writing for legal, managerial, and technical audiences; ensuring clarity, avoiding jargon, and maintaining accuracy.

Lecture 30: Tools & Hands-on Practice – Overview of FTK, Autopsy, reporting templates; automating reports, analyzing sample reports, and hands-on report writing.

Lecture 31: Network Forensics & Traffic Analysis: Overview of network forensics, using Wireshark and tcpdump for packet capture. Analyzing traffic for suspicious activity, patterns, and payloads.Tools: Wireshark, tcpdump.

Lecture 32: Intrusion Detection: Setting up and configuring Snort for network intrusion detection. Understanding how to use signatures and custom rules for identifying malicious traffic.

Lecture 33: Command-and-Control (C2) Detection: Identifying Command-and-Control communications through network analysis. Detection of C2 traffic patterns and common protocols used by malware.

Lecture 34: Network Timeline Reconstruction: Reconstructing network activity to establish a timeline of an attack. Using Splunk for log aggregation, analysis, and timeline creation.

Lecture 35: Setting Up Splunk & Analyzing Logs: Installing and configuring Splunk to ingest network logs for analysis. Using Splunk for network forensic analysis and visualizing traffic data.Tools: Splunk, Syslog servers, network logs.

Lecture 36: Introduction to Log Types & Log Collection: Overview of different types of logs (firewall, server, endpoint), their significance in cybersecurity investigations. Understanding how to collect logs from various sources.

Lecture 37: Log Aggregation & Centralization: Methods and tools for aggregating logs from different systems (firewall, servers, endpoints) into a central repository. Using Syslog servers and log shippers (e.g., Filebeat, Fluentd).

Lecture 38: Log Correlation & Parsing: Introduction to log correlation techniques for identifying patterns across multiple logs. Parsing and normalizing log data for easier analysis. Use of tools like Elastic Stack (ELK) for correlation.

Lecture 39: Anomaly Detection in Logs: Techniques for detecting anomalies in log data using both manual and automated methods. Introduction to anomaly detection algorithms, and the use of Splunk and ELK for detecting abnormal activities.

Lecture 40: Introduction to Malware Analysis & Static Analysis Overview of malware types, malware lifecycle, and basic principles of static analysis. Introduction to tools like PEiD, IDA Pro, and Binwalk.

Lecture 41: Static Analysis: File Inspection and Signature Analysis: Detailed inspection of binary files, hash analysis, and detecting packers and obfuscation techniques. Using tools like OllyDbg and Ghidra.

Lecture 42: Dynamic Analysis: Behavioral Analysis in a Sandbox: Setting up a controlled environment to observe malware behavior.Deobfuscation Techniques: Reversing obfuscated malware using unpackers and deobfuscation tools.

Lecture 43: Reverse Engineering Malware: Understanding how malware operates by reverse engineering executables. Tools like OllyDbg, Immunity Debugger, and Ghidra for deeper analysis.

Lecture 44: Analyzing Indicators of Compromise (IOCs): How to identify IOCs from both static and dynamic analysis. Creating IOCs from file hashes, IPs, domain names, and registry keys. Use of tools like YARA and MISP for IOC generation and sharing.

Lecture 45: Overview of threat hunting, key concepts, and role in cybersecurity. Types of threat hunting, Threat intelligence, MITRE ATT&CK framework, and integrating hunting into the incident response lifecycle

Lecture 46: SIEM tools, EDR solutions, behavioral analytics, and script-based hunting (PowerShell/Bash), Identifying and analyzing threats in cloud platforms (AWS, Azure, GCP). Key challenges and mitigation strategies.

Advanced Cyber Investigation and Forensics Specialist Program Skills Covered

Digital Evidence Collection and Preservation

Forensic Investigation Techniques

Incident Response

Memory Forensics

Network Forensics

Malware Analysis

Data Recovery Techniques

Legal and Regulatory Knowledge

Forensic Reporting

Cyber Threat Intelligence

Disk Imaging and Analysis

Operating System Forensics (Windows, Linux, macOS)

Cloud Forensics

Mobile Device Forensics

Advanced Cyber Investigation and Forensics Specialist Program Tools Covered

Advanced Cyber Investigation and Forensics Specialist Program Program Benefits

CAREER OPPORTUNITIES AFTER THIS COURSE

Incident Response Specialist Salary Range

Min

$500,000

Average

$900,000

Max

$1,500,000

MASTER DIGITAL FORENSICS WITH REAL-WORLD PROJECTS

Hands-on Capstone Projects with Real Data

Practical Labs and Case Studies

Guided by IIT Faculty & Industry Experts

Simulate Real Cybercrime Investigations

Digital Evidence Collection & Preservation

NO. OF PROJECTS: 3

Incident Response & Malware Analysis

NO. OF PROJECTS: 3

Memory & Network Forensics

NO. OF PROJECTS: 2

Operating System & Cloud Forensics

NO. OF PROJECTS: 2

Mobile Device Forensics

NO. OF PROJECTS: 1

Cyber Law, Compliance & Forensic Reporting

NO. OF PROJECTS: 1

Capstone Projects of this Program

Windows Forensics Investigation

Perform a detailed forensic analysis of Windows systems, including registry examination, log analysis, and recovery of deleted data.

Linux System Forensics

Analyze Linux-based environments to uncover hidden files, system logs, and security breaches while applying forensic best practices.

Memory Forensics with Volatility

Use Volatility to examine memory dumps, detect malicious processes, and investigate rootkits and advanced persistent threats.

Malware Analysis Project

Conduct static and dynamic malware analysis to study behavior, extract indicators of compromise, and design recovery strategies.

Incident Response Simulation

Simulate corporate cyber incidents, respond to breaches, contain threats, and prepare detailed incident response reports.

Cloud Forensics Investigation

Investigate evidence from cloud platforms, ensuring compliance with data privacy regulations and chain-of-custody standards.

Mobile Device Forensics

Extract, preserve, and analyze evidence from mobile devices, including application artifacts, messages, and deleted data.

Cyber Law & Compliance Case Study

Work on a case study involving digital evidence handling, chain of custody, and compliance with global cyber laws.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Conduct digital forensic investigations to collect, analyze, and preserve electronic evidence.

Identify, analyze, and mitigate cyber threats and incidents across networks and systems.

Perform memory, network, and malware analysis to assess the scope of cyber-attacks.

Prepare detailed forensic reports for technical teams, management, and legal proceedings.

Collaborate with law enforcement agencies, legal teams, and cybersecurity professionals during investigations.

Ensure compliance with data privacy regulations and legal standards while handling digital evidence.

Use forensic tools like FTK Imager, Volatility, Cyber Triage, and Wireshark for evidence analysis.

Develop and implement incident response strategies to contain and minimize cyber risks.

Stay updated with the latest cyber threats, attack techniques, and forensic tools to remain effective in investigations.

Companies Hiring for this Course

Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Enroll Now & Save Up To

60%

In USD

$549

In INR

₹50,999

Inclusive of All Taxes

Enroll Now →

Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

UPCOMING BATCHES/PROGRAM COHORTS

Batch	Date	Time (IST)	Batch Type
Online Live Instructor Led Session	16 September 2025	9 PM to 12 AM	Batch 1
Online Live Instructor Led Session	20th Sept 2025	9 PM to 12 AM	Batch 2

COMPARISON WITH OTHERS

Feature	Our Course	COMPETITOR A	COMPETITOR B
Curriculum Scope	Comprehensive: Python, ML, DL, NLP, CV, Generative AI	Basic ML and DL focus	General AI with less focus on Generative AI
Hands-On Experience	Extensive practical projects with tools like GPT, DALL-E 2	Limited practical projects	Hands-on projects mainly in traditional AI
Advanced Tools	GPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChain	Focus on traditional ML frameworks	Emphasis on standard ML and AI tools
Instructor Expertise	Experienced professionals with industry and research background	Mix of industry and academic instructors	Primarily academic-focused instructors
Real-World Applications	Emphasis on real-world problem-solving and innovation	Mostly theoretical applications	General applications with less focus on innovation
Career Support	Strong focus on career advancement and networking	Basic career services	Limited career support and networking opportunities
Networking Opportunities	Connect with peers and industry leaders	Limited networking events	Few networking opportunities
Certification Value	Recognized certification for advanced AI roles	Standard certification	General certification with less industry recognition

Advanced Cyber Investigation and Forensics Specialist Program

Course Duration

Next Batch

Course Material

KEY HIGHLIGHTS OF ADVANCED CYBER INVESTIGATION AND FORENSICS SPECIALIST PROGRAM PROGRAM

WHY JOIN ADVANCED CYBER INVESTIGATION AND FORENSICS SPECIALIST PROGRAM PROGRAM?

Comprehensive Curriculum

Practical Experience

Industry-Standard Tools

Expert Mentorship

UPCOMING BATCH:

SkillzRevo Solutions

Batch schedule

Regional Timings

Advanced Cyber Investigation and Forensics Specialist Program OVERVIEW

Advanced Cyber Investigation and Forensics Specialist Program Objectives

Why Learn Advanced Cyber Investigation and Forensics Specialist Program ?

Master Digital Forensics Principles

Collect and Analyze Digital Evidence

Advance Incident Response Skills

Utilize Industry-Leading Tools

Develop Professional Forensic Reporting

Gain Real-World Experience

Program Advantages

Advanced Cyber Investigation and Forensics Specialist Program program Certifications

Nasscom

Course Completion

Project Completion

Advanced Cyber Investigation and Forensics Specialist Program Curriculum

Advanced Cyber Investigation and Forensics Specialist Program Skills Covered

Advanced Cyber Investigation and Forensics Specialist Program Tools Covered

Advanced Cyber Investigation and Forensics Specialist Program Program Benefits

CAREER OPPORTUNITIES AFTER THIS COURSE

Incident Response Specialist Salary Range

MASTER DIGITAL FORENSICS WITH REAL-WORLD PROJECTS

Capstone Projects of this Program

Job Obligation After This Course

Companies Hiring for this Course

Admission Process

Course Fees & Financing

UPCOMING BATCHES/PROGRAM COHORTS

COMPARISON WITH OTHERS

Frequently Asked Questions