Cybersecurity

Digital Forensics Professional Certification in India

Digital Forensics Professional Certification Training in India develops practical skills in digital evidence collection, forensic investigation, data recovery, cybercrime analysis, incident investigation, and forensic reporting. This Digital Forensics Certification Course helps cybersecurity professionals analyze digital artifacts, preserve evidence, investigate security incidents, and apply forensic methodologies through structured, hands-on training aligned with modern digital forensics and cybersecurity investigation requirements.

40 Hours / 5 DaysAdvanced3.7 · 2,750 reviews
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Training calendar

Upcoming four-month course schedule

A new weekday and weekend batch starts every week. Each batch runs for 5 training days, based on the course duration of 40 Hours / 5 Days.

Weekend batches

October 2026

09:00–15:00 · flexible hours

₹39,999per learner

24 Oct 2026

4 of 25 seats available

31 Oct 2026

10 of 25 seats available

Weekend batches

November 2026

09:00–15:00 · flexible hours

₹39,999per learner

07 Nov 2026

25 of 25 seats available

14 Nov 2026

25 of 25 seats available

21 Nov 2026

25 of 25 seats available

28 Nov 2026

25 of 25 seats available

Weekend batches

December 2026

09:00–15:00 · flexible hours

₹39,999per learner

05 Dec 2026

25 of 25 seats available

12 Dec 2026

25 of 25 seats available

19 Dec 2026

25 of 25 seats available

26 Dec 2026

25 of 25 seats available

Weekend batches

January 2027

09:00–15:00 · flexible hours

₹39,999per learner

02 Jan 2027

25 of 25 seats available

09 Jan 2027

25 of 25 seats available

16 Jan 2027

25 of 25 seats available

23 Jan 2027

25 of 25 seats available

30 Jan 2027

25 of 25 seats available

Course curriculum

What you’ll learn

40 Hours / 5 DaysAdvanced
  • Module 1: Computer Forensics in Today’s World
    • Fundamentals of computer forensics
    • Cybercrimes and investigation procedures
    • Digital evidence and eDiscovery
    • Forensic readiness and business continuity
    • Roles and responsibilities of a forensic investigator
    • Cybercrime investigation challenges
    • Forensic standards and best practices
    • Laws and legal compliance
  • Module 2: Computer Forensics Investigation Process
    • Forensic investigation methodology
    • First response procedures
    • Pre-investigation activities
    • Investigation phase
    • Post-investigation activities
    • Crime-scene documentation
    • Search and seizure procedures
    • Evidence preservation and reporting
  • Module 3: Understanding Hard Disks and File Systems
    • Hard disk and SSD characteristics
    • Logical disk structures
    • Windows, Linux, and macOS boot processes
    • File systems and forensic artifacts
    • File-system analysis
    • RAID, NAS, and SAN storage
    • Encoding standards and hexadecimal analysis
    • File-format analysis
  • Module 4: Data Acquisition and Duplication
    • Digital data acquisition fundamentals
    • Live and dead acquisition
    • Data acquisition methodologies
    • eDiscovery collection
    • Forensic disk imaging
    • Volatile and non-volatile data acquisition
    • Write protection and evidence integrity
    • Validation of acquired forensic images
  • Module 5: Defeating Anti-Forensics Techniques
    • Anti-forensics concepts
    • Deleted data and recycle-bin forensics
    • File carving and partition recovery
    • Hidden data investigation
    • Steganography detection
    • Metadata and artifact analysis
    • Encryption and overwritten-data investigation
    • File extension mismatch and artifact wiping
  • Module 6: Windows Forensics
    • Windows forensic investigation methodology
    • Windows Registry analysis
    • Event log investigation
    • Browser cache, cookies, and history
    • Windows file and folder analysis
    • User activity investigation
    • Volatile and non-volatile evidence
    • Windows forensic artifacts
  • Module 7: Linux and Mac Forensics
    • Linux forensic investigation
    • macOS forensic investigation
    • Volatile and non-volatile evidence
    • Linux shell commands
    • Linux log-file analysis
    • macOS directories and artifacts
    • System activity investigation
    • Operating-system evidence preservation
  • Module 8: Network Forensics
    • Network forensics fundamentals
    • Network traffic analysis
    • Packet capture and analysis
    • Network logs and event correlation
    • Intrusion investigation
    • Network evidence collection
    • Wireless and network attack investigation
    • Network forensic reporting
  • Module 9: Investigating Web Attacks
    • Web attack fundamentals
    • Web server and application evidence
    • Web attack investigation methodology
    • Log analysis
    • Web traffic investigation
    • Evidence collection and preservation
    • Web attack artifact analysis
    • Forensic reporting
  • Module 10: Dark Web Forensics
    • Dark web fundamentals
    • Dark web investigation concepts
    • Anonymous communication technologies
    • Dark web evidence sources
    • Digital artifact collection
    • Online identity and activity investigation
    • Evidence preservation
    • Dark web forensic challenges
  • Module 11: Database Forensics
    • Database forensics fundamentals
    • Database structures and artifacts
    • Database evidence collection
    • Database log analysis
    • Transaction and user activity investigation
    • Deleted database information
    • Database attack investigation
    • Forensic documentation
  • Module 12: Cloud Forensics
    • Cloud forensics fundamentals
    • Cloud investigation methodology
    • Cloud evidence identification
    • Cloud data acquisition
    • Cloud logs and activity analysis
    • Cloud security incident investigation
    • Evidence preservation in cloud environments
    • Cloud forensic challenges
  • Module 13: Investigating Email Crimes
    • Email forensics fundamentals
    • Email evidence identification
    • Email header analysis
    • Phishing and malicious email investigation
    • Email artifact collection
    • Deleted email investigation
    • Email crime analysis
    • Forensic reporting and evidence preservation
  • Module 14: Malware Forensics
    • Malware forensics fundamentals
    • Malware evidence collection
    • Malicious file investigation
    • Malware artifact analysis
    • Static and behavioral investigation concepts
    • System compromise investigation
    • Malware persistence analysis
    • Forensic reporting
  • Module 15: Mobile Forensics
    • Mobile device forensics fundamentals
    • Mobile evidence acquisition
    • Mobile operating-system artifacts
    • Application and communication data
    • Mobile data recovery
    • Mobile device investigation
    • Evidence preservation
    • Mobile forensic reporting
  • Module 16: IoT Forensics
    • IoT forensics fundamentals
    • IoT device evidence sources
    • Connected-device investigation
    • IoT data acquisition
    • IoT network and communication analysis
    • IoT artifact examination
    • Evidence preservation
    • IoT forensic investigation and reporting

Entry requirements and prerequisites

  • Basic Cybersecurity Knowledge
    Learners should have basic cybersecurity knowledge to understand digital threats, security incidents, attack techniques, and forensic investigation concepts.
  • Information Security Fundamentals
    A foundational understanding of information security principles, confidentiality, integrity, authentication, access control, and security policies is recommended for digital forensics training.
  • Networking Fundamentals
    Basic knowledge of TCP/IP, network protocols, DNS, HTTP, firewalls, network traffic, and common network attacks can support effective forensic investigation learning.
  • Operating Systems Knowledge
    Learners should have working knowledge of Windows, Linux, and general operating system concepts to understand file systems, processes, logs, permissions, and system artifacts.
  • Computer Hardware and Storage Knowledge
    Familiarity with computers, hard disks, storage devices, partitions, file systems, and data storage concepts is recommended for professional digital forensics training.
  • Basic Incident Response Knowledge
    Understanding cybersecurity incidents, incident detection, containment, evidence preservation, and response procedures can help learners connect incident response with forensic investigation.
  • Digital Evidence Awareness
    Learners should have a basic understanding of digital evidence, evidence identification, preservation, documentation, and chain-of-custody concepts before undertaking advanced forensic investigation training.
  • Cybersecurity Investigation Interest
    A strong interest in cybercrime investigation, digital evidence analysis, computer forensics, and cybersecurity investigations is recommended for learners pursuing professional digital forensics skills.
  • Basic Command-Line Knowledge
    Familiarity with Windows command-line tools and Linux terminal commands can help learners work effectively with forensic investigation tools and operating system artifacts.
  • Analytical and Problem-Solving Skills
    Strong analytical thinking and problem-solving abilities are recommended for examining digital evidence, identifying suspicious activities, correlating artifacts, and developing investigation findings.
  • Basic Security Tools Awareness
    Familiarity with cybersecurity tools such as Wireshark, vulnerability scanners, SIEM platforms, endpoint security tools, or forensic utilities can support practical learning.
  • Professional Cybersecurity Learning Commitment
    Learners should be prepared to participate in practical exercises, forensic investigations, evidence analysis, case studies, and hands-on cybersecurity activities throughout the training in India.

Career value

Reasons to choose this course

Develop Professional Digital Forensics Skills

Build practical expertise in digital evidence collection, forensic examination, data recovery, and investigation techniques to strengthen your cybersecurity career.

Master Digital Evidence Investigation

Learn to identify, preserve, analyze, and document digital evidence while developing investigation skills relevant to modern cybercrime and security investigations.

Strengthen Cybercrime Investigation Expertise

Develop knowledge of computer, network, email, malware, cloud, and mobile forensics to investigate diverse cybersecurity incidents and digital crimes.

Build Hands-On Forensic Investigation Capabilities

Gain practical exposure to forensic methodologies, evidence analysis, investigation workflows, and professional reporting techniques used in cybersecurity environments.

Expand Cybersecurity Career Opportunities

Develop specialized digital forensics knowledge that can support career paths such as Digital Forensic Analyst, Cyber Forensic Investigator, Incident Response Analyst, and Security Analyst.

Prepare for Professional Forensics Certification

Build certification-focused knowledge aligned with professional digital forensics concepts and strengthen your readiness for cybersecurity investigation roles.

Advantages

Turn learning into practical capability

Comprehensive Digital Forensics Curriculum

Learn essential digital forensics concepts covering evidence acquisition, preservation, analysis, operating-system forensics, network forensics, malware forensics, email investigation, cloud forensics, and forensic reporting.

Practical Evidence Handling Knowledge

Develop an understanding of evidence identification, collection, preservation, documentation, and chain-of-custody procedures required during professional digital forensic investigations.

Multi-Platform Forensic Investigation Skills

Explore forensic investigation concepts across Windows, Linux, mobile, network, cloud, and other digital environments to support diverse cybersecurity investigation scenarios.

Cybercrime and Incident Investigation Focus

Understand how digital forensic techniques can support cybercrime investigations, security incident analysis, compromised-system investigations, and identification of relevant digital artifacts.

Forensic Tools and Investigation Methodologies

Develop familiarity with professional forensic workflows and investigation methodologies used to examine digital artifacts, recover information, analyze evidence, and prepare investigation findings.

Certification and Career-Oriented Learning

Gain structured knowledge aligned with professional digital forensics certification objectives while developing skills relevant to digital forensics, incident response, cybersecurity, and security investigation roles.

Exam format & assessment

  • Certification: EC-Council Computer Hacking Forensic Investigator (CHFI)
  • Exam Code: 312-49
  • Exam Title: Computer Hacking Forensic Investigator
  • Number of Questions: 150
  • Exam Duration: 4 Hours
  • Question Format: Multiple Choice Questions (MCQs)
  • Exam Delivery: EC-Council Exam Portal
  • Passing Score: Form-specific cut score; EC-Council currently states that CHFI cut scores can range from 60% to 78%, depending on the examination form.
  • Exam Domains: Computer forensics, investigation processes, hard disks and file systems, data acquisition, anti-forensics, operating-system forensics, network forensics, web attacks, database forensics, cloud forensics, malware forensics, email crimes, mobile forensics, and IoT/digital forensic investigations.
  • Certification Preparation: StepMerit Learning provides structured training, practical forensic investigation concepts, and certification-focused preparation for the CHFI examination.

Bring your learning together

Course conclusion

Digital Forensics Professional Certification Training in India provides comprehensive knowledge and practical skills in digital evidence collection, forensic investigation, data acquisition, evidence preservation, cybercrime investigation, and forensic analysis. The course covers computer, Windows, Linux, macOS, network, web, cloud, database, email, malware, mobile, dark web, and IoT forensics. With structured hands-on learning and certification-focused preparation, learners can develop professional digital forensics capabilities for modern cybersecurity investigation environments. StepMerit Learning supports learners with practical training designed to prepare them for digital forensics, cyber investigation, incident response, and cybersecurity roles.

Target audience

  • Digital Forensics Professionals
  • Cybersecurity Professionals
  • Incident Response Professionals
  • SOC Analysts and Security Operations Professionals
  • Cybercrime Investigators
  • Computer Forensic Investigators
  • Network Security Professionals
  • Information Security Professionals
  • Digital Evidence Analysts
  • Malware Analysts
  • IT Security Administrators and Engineers
  • Professionals Preparing for CHFI Certification

Verified learning evidence

Expertise, recognition and learner outcomes

Course-specific expertise

  • 10+ years of professional experience in digital forensics, cybersecurity, incident response, cyber investigations, and digital evidence analysis.
  • 1,500+ hours of technical training delivered to cybersecurity professionals, IT teams, investigators, and certification candidates.
  • 1,000+ professionals trained through classroom, live online, hands-on, and corporate training programs.
  • 100+ corporate and professional training sessions delivered across cybersecurity and digital investigation domains.
  • 50+ practical forensic investigation case studies covering evidence acquisition, forensic imaging, artifact analysis, data recovery, and investigation reporting.
  • Industry training experience across IT Services, Banking & Financial Services, Government, Law Enforcement, Healthcare, Telecommunications, E-commerce, and Technology sectors.
  • Hands-on expertise in digital evidence acquisition, forensic imaging, file-system analysis, malware investigation, data recovery, log analysis, browser forensics, and incident investigation.
  • Practical experience with forensic investigation methodologies, evidence preservation, hashing, chain of custody, timeline analysis, and forensic reporting.
  • Training methodology includes hands-on labs, real-world investigation scenarios, forensic case studies, practical assessments, tool demonstrations, and certification-focused preparation.

Documented learner outcomes

  • Problem Statement: Organizations need to investigate cyber incidents, analyze digital evidence, and identify unauthorized activities across computers, networks, and storage devices.
    Traditional investigation methods can make evidence collection and analysis time-consuming.
  • How We Overcame the Problem: Learners followed a structured digital forensics process covering evidence identification, acquisition, preservation, examination, analysis, and reporting.
    They applied forensic tools and techniques to investigate realistic digital investigation scenarios.
  • Overall Implementation: Learners implemented an end-to-end forensic workflow covering evidence collection, forensic imaging, data recovery, artifact analysis, timeline creation, and investigation reporting.
    The workflow emphasized evidence integrity and proper forensic procedures.
  • Evidence of Learning: Learners demonstrated the ability to acquire forensic images, analyze system artifacts, recover relevant files, examine logs, and document investigation findings.
    Practical exercises and investigation case studies provided evidence of competency.
  • Digital Forensics Workflow:
    Incident Identification → Evidence Collection → Forensic Imaging → Evidence Preservation → Examination → Analysis → Findings → Reporting
  • Evidence Acquisition: Learners practiced collecting and preserving digital evidence while maintaining data integrity and documenting evidence-handling procedures.
    They applied hashing and forensic acquisition techniques to support evidence authenticity.
  • Forensic Analysis: Learners examined files, metadata, system artifacts, browser history, logs, and other digital evidence to identify relevant investigative information.
    They used forensic analysis techniques to reconstruct user and system activities.
  • Data Recovery: Learners practiced recovering deleted or hidden files and identifying potentially relevant artifacts from forensic images.
    Recovery activities helped demonstrate practical investigation and evidence-analysis capabilities.
  • Problem-Solving Evidence: Learners addressed challenges such as deleted data, fragmented evidence, large datasets, suspicious activities, and incomplete investigation trails.
    They applied systematic forensic techniques to identify, correlate, and validate relevant evidence.
  • Comparative Evidence: Learners evaluated different forensic investigation techniques and tools based on evidence acquisition, artifact analysis, recovery capabilities, and investigation requirements.
    This helped them select appropriate approaches for different digital forensic scenarios.
  • Overall Outcome: Learners demonstrated practical skills in digital evidence collection, forensic analysis, data recovery, incident investigation, and forensic reporting.
    These capabilities support cybersecurity investigations, incident response, and digital forensic operations.
  • Final Evidence: A completed forensic investigation case, forensic image, hash values, analyzed artifacts, recovered evidence, investigation timeline, findings, and final forensic report provide evidence of practical competency.

Helpful answers for planning your training

Frequently asked questions

Digital Forensics Professional Certification Training is an advanced cybersecurity program focused on digital evidence identification, acquisition, preservation, examination, analysis, investigation, and forensic reporting. The program is aligned with the professional digital-forensics scope of EC-Council CHFI.

The course is suitable for digital forensic professionals, cybersecurity professionals, incident responders, SOC analysts, cybercrime investigators, information security professionals, network security professionals, and IT security professionals interested in digital investigation.

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Rated by 2,750 learners

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