
INSTRUCTOR-LED TRAINING (10 days)
A comprehensive course covering the skills that a Digital Forensics technician or practitioner will require in order to competently carry out forensic examinations of computers and mobile devices. The course consists of initial self-study learning using our online Learning Management System.
SELF-STUDY LEARNING OUTCOMES
- Understand the role of a Digital Forensics Technician and how they fit in with the larger investigation team.
- Understand the legislation, guidance and procedures that will be relevant to the role.
- Learn about the importance of planning and documenting examinations, ensuring data integrity and achieving the best evidence during examinations.
- Understand the fundamental principles of Digital Forensics, their own limitations and where to seek further support.
- Become familiar with the key equipment and types of software that are employed in a Digital Forensics environment.
- Gain the skills required to respond to a Digital Forensics incident by understanding the importance of careful handling of exhibits and how to gather evidence from a scene.
- Identify different file types and file systems.
The course then progresses to ten days of in-person training, which is largely practical based.
LEARNING OUTCOMES FROM IN-PERSON TRAINING
- Extract and investigate evidence from computers running Microsoft Windows and Apple operating systems.
- Extract and investigate evidence from mobile devices.
- Understand how to gather and investigate evidence from Internet and cloud-based sources.
- Understand encryption, the different types that can be encountered and how this can influence an investigation.
- Learn about Structured Query Language (SQL) based databases and how to interrogate them during an investigation.
- Understand how to investigate various evidence artefacts including emails, internet browsing history, multimedia and documents that have been extracted during the course of investigations.
- Learn how to investigate data associated with social media and the Internet of Things (IoT).