Advanced Digital Forensic Courses

Advanced Topics in Computer Digital Forensics

Advanced Topics in Computer Digital Forensics is a certified 5-day course where students learn how to best manage evidence that includes MS-Windows, Linux, and Apple operating systems. Students will learn where to search a computer for needed and essential artifacts from both applications and the operation system. This includes evidence from Internet and Cloud interactions and connections.

This advanced course will include looking at data from several perspectives and tools. It includes an in-depth look at File and Operating Systems, Metadata and Application Artifacts, and Cloud Data. Students will learn what, where, when, how, and why of these technologies.

Course Syllabus

Advanced Data Extraction and Analysis in Cyber Forensics

Advanced Data Extraction and Analysis in Cyber Forensics is a certified 5-day course where students learn how to collect, acquire, extract, and then analyze digital forensic evidence. Students will learn various methods to extract data from computers using MS-Windows, Apple iOS, Android OS, Cloud Data, and IoT devices.

This hands-on course helps students understand the best methods and tools to use when collecting data from computers, smartphones, cloud, and IoT devices. Students will learn what IoT and Cloud data is available and to gain access to said data.

Course Syllabus

Advanced Smartphone and IoT Device Forensics

Advanced Smartphone and IoT Device Forensics is a certified 5-day course where students learn how to access, find, and then recover evidence found on smartphone, smart devices, and Internet of Things (IoT) devices. Students will learn ways of extracting data from a variety of smartphone devices.
Students will learn advanced methods of defeating data protection schemes, including data from embedded systems that are locked, damaged or unsupported. This recovery method works on newer devices that store data on eMMC or eMCP flash memory chips and recovered through the device’s test points.

Course Syllabus
Course Location Date
Rusolut USB-SD-eMMC NAND Data Recovery & Repair Forensics Mexico City, MX
  • July 26, 2021 9:00 am
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Oxygen Forensic BootCamp (OFBC) Mexico City, MX
  • July 27, 2021 9:00 am
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Oxygen Forensic Device Extraction (XiB) Alexandria, VA
  • August 2, 2021 9:00 am
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X-Ways Forensics Salt Lake City, UT
  • August 3, 2021 9:00 am
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ISP-IoT-EDL-JTAG Mobile Device Data Recovery Salt Lake City, UT
  • August 9, 2021 9:00 am
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KNIFE - Known Network Intrusion Forensic Examinations New Berlin, WI
  • August 10, 2021 9:00 am
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ISP-IoT-EDL-JTAG Mobile Device Data Recovery Mexico City, MX
  • August 16, 2021 9:00 am
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Oxygen Forensic BootCamp (OFBC) - Spanish Mexico City, MX
  • August 31, 2021 9:00 am
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Oxygen Forensic Device Extraction (XiB) Online - Live Instructor
  • September 7, 2021 8:00 am
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Rusolut USB-SD-eMMC NAND Data Recovery & Repair Forensics Alexandria, VA
  • September 13, 2021 9:00 am
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Advanced Mobile Device and IoT Forensic Analysis with Python - Online Training Online - Live Instructor
  • September 27, 2021 9:00 am
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ISP-IoT-EDL-JTAG Mobile Device Data Recovery Alexandria, VA
  • October 4, 2021 9:00 am
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Oxygen Forensic Device Extraction (XiB) Online - Live Instructor
  • October 5, 2021 9:00 am
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Chip-Off Forensics for Mobile Devices Alexandria, VA
  • October 18, 2021 9:00 am
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Oxygen Forensic BootCamp (OFBC) Salt Lake City, UT
  • November 22, 2021 9:00 am
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Rusolut USB-SD-eMMC NAND Data Recovery & Repair Forensics Mexico City, MX
  • November 22, 2021 9:00 am
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Advanced Wireless Intel Course Salt Lake City, UT
  • November 29, 2021 9:00 am
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Advanced Mobile Device and IoT Forensic Analysis with Python - Online Training Online - Live Instructor
  • November 29, 2021 9:00 am
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X-Ways Forensics Salt Lake City, UT
  • December 6, 2021 9:00 am
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Oxygen Forensic Device Extraction (XiB) Online - Live Instructor
  • December 7, 2021 9:00 am
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Chip-Off Forensics for Mobile Devices Salt Lake City, UT
  • December 13, 2021 9:00 am
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X-Ways Forensics / Law Enforcement Only New York City, New York
  • February 21, 2022 9:00 am
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