Forensics

Beginner to Mastery

Certified Forensics Analyst

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

Certified Forensics Analyst

Course Duration

300 Hours

Next Batch

16 Sept 2025

Course Material

Live. Online. Interactive.

Expert guidance and mentorship for building industry-ready skills.

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KEY HIGHLIGHTS OF CERTIFIED FORENSICS ANALYST PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 300 hours of hands-on learning experience
  • Over 90 hours live sessions spread across 04 months
  • 90 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 CERTIFIED FORENSICS ANALYST PROGRAM?

Comprehensive Learning

Gain knowledge of digital forensics, covering evidence collection, system forensics, incident response, and legal aspects.

Hands-On Learning

Engage in practical labs and real-world case studies to apply your learning.

Industry-Relevant Tools

Work with tools like FTK Imager, Volatility, and Cyber Triage, used by professionals in forensics.

Expert Guidance

Learn from instructors with experience in digital forensics, cybersecurity, and incident response.

UPCOMING BATCH:

16 Sept 2025

SkillzRevo

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

BatchBatch Type
Online Live Instructor Led SessionFull-Time
Online Live Instructor Led SessionPart-Time

Regional Timings

BatchBatch Type
IST (India Standard Time)09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia06:30 PM–09:30 PM
UAE / Oman07:30 PM–09:00 PM

Certified Forensics Analyst OVERVIEW

This digital forensic program offers a broader and hand learning experience, which equip the participants with the skills and knowledge required to identify, investigate and react to cyber crime and safety events. Along with focusing on various aspects of digital forensic, including evidence collection, system and OS forensic, memory analysis and event reaction-this course provides intensive coverage of equipment, techniques and legal ideas involved in the forensic investigation. Students will get practical experience through attractive projects, which will help them to create proficiency for real -world application.

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

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Certified Forensics Analyst Objectives

This course is to equip participants with a comprehensive understanding of Digital Forensics, from Foundational Principles to Advanced Investigative Techniques. By the end of the program, Learners will be Proficient in Collecting, Preserving, and Analyzing Digital Evidence from Various Platforms, Including Computers, Mobile Devices, Mobile Devices, Mobile Devices, and Cloud Env. They will also get expertise in the event response, malware analysis and memory forensic using industry-standard equipment. Additionally, the course aims to develop participants' ability to conduct thorough Forensic Investigations, Prepare Detailed Reports, and Navigate the Legal and Regulatory Aspects of Digital Forensic, Their findings are admissible in court. Overall, the course is designed to Empower Learners to Tackle Real-world Cyber Security challenges and make meaningful contributions to the field of digital forensics.

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Why Learn Certified Forensics Analyst ?

Master Digital Forensics Principles

Understand core concepts such as evidence handling, forensic investigation lifecycle, and the methodologies applied in modern forensic practices.

Collect and Analyze Digital Evidence

Gain hands-on skills in acquiring and analyzing evidence from diverse systems including Windows, Linux, mobile, memory, and cloud environments.

Advance Incident Response Skills

Learn to conduct incident response and malware analysis, understand attack patterns, and apply effective recovery strategies.

Utilize Industry-Leading Tools

Master forensic tools and techniques to uncover hidden data, trace security breaches, and support legal investigations with accuracy.

Develop Professional Forensic Reporting

Build expertise in creating detailed, clear, and comprehensive forensic reports for both technical experts and non-technical stakeholders.

Gain Real-World Experience

Work on practical projects and case studies that simulate real cybercrime scenarios, preparing you for industry challenges.

Program Advantages

Practical labs and real-world case studies to apply your learning in a controlled environment.

Learn from seasoned professionals with extensive experience in digital forensics, cybersecurity, and incident response.

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

Explore a variety of topics such as evidence collection, Windows and Linux forensics, memory analysis, incident response, and cyber law.

Participate in hands-on projects to analyze cyber-attacks, perform malware analysis, and simulate corporate cyber incidents.

A mix of live sessions, recorded materials, and self-paced assignments offers flexible learning.

Understand legal frameworks in digital forensics, including data privacy regulations and the chain of custody.

Ensure compliance with global and regional laws regarding digital evidence handling.

Description

Certified Forensics Analyst program Certifications

Nasscom

Nasscom

Course Completion

Course Completion

Project Completion

Project Completion

Certified Forensics Analyst 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.

Certified Forensics Analyst Skills Covered

Digital Evidence Collection and Preservation
Forensic Investigation Techniques
Incident Response
Memory Forensics
Legal and Regulatory Knowledge
Forensic Reporting

Certified Forensics Analyst Tools Covered

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Certified Forensics Analyst Program Benefits

Certified Forensics Analyst Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

Incident Response Specialist Salary Range

Min

$70,000

Average

$90,000

Max

$110,000

Projects

MASTER DIGITAL FORENSICS WITH REAL-WORLD PROJECTS

Work on Practical Case Studies

Guided by Industry Experts

Simulate Real Cybercrime Scenarios

Evidence Collection & Analysis
NO. OF PROJECTS: 4
Incident Response & Malware Analysis
NO. OF PROJECTS: 3
Memory & OS Forensics
NO. OF PROJECTS: 2
Cyber Law & Compliance
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

Investigating cybercrimes and analyzing digital evidence to identify attack sources and gather forensic data.

Responding to security incidents, containing threats, and recovering compromised systems.

Monitoring network traffic and system logs, detecting potential threats, and preventing security breaches.

Performing ethical hacking to identify vulnerabilities and help organizations enhance their security measures.

Designing and implementing security systems such as firewalls and intrusion detection systems (IDS).

Recovering and securing data from compromised or damaged systems using forensic tools.

Managing security operations, continuously monitoring for threats, and ensuring the security of enterprise networks.

Advising organizations on best practices for protecting data, systems, and networks from cyber threats.

Companies Hiring for this Course

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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

$449

In INR

40,999

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.

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UPCOMING BATCHES/PROGRAM COHORTS

BatchDateTime (IST)Batch Type
Online Live Instructor Led Session16 September 20259 PM to 12 AMBatch 1
Online Live Instructor Led Session20th Sept 20259 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Curriculum ScopeComprehensive: Python, ML, DL, NLP, CV, Generative AIBasic ML and DL focusGeneral AI with less focus on Generative AI
Hands-On ExperienceExtensive practical projects with tools like GPT, DALL-E 2Limited practical projectsHands-on projects mainly in traditional AI
Advanced ToolsGPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChainFocus on traditional ML frameworksEmphasis on standard ML and AI tools
Instructor ExpertiseExperienced professionals with industry and research backgroundMix of industry and academic instructorsPrimarily academic-focused instructors
Real-World ApplicationsEmphasis on real-world problem-solving and innovationMostly theoretical applicationsGeneral applications with less focus on innovation
Career SupportStrong focus on career advancement and networkingBasic career servicesLimited career support and networking opportunities
Networking OpportunitiesConnect with peers and industry leadersLimited networking eventsFew networking opportunities
Certification ValueRecognized certification for advanced AI rolesStandard certificationGeneral certification with less industry recognition

Frequently Asked Questions