TRAINING: Advanced Digital Discovery (AD²) | July 2024
OnlineOur AD² course equips researchers with the necessary skills to safely understand the digital environment. Register today for our July 2024 Advanced Digital Discovery course!
Our AD² course equips researchers with the necessary skills to safely understand the digital environment. Register today for our July 2024 Advanced Digital Discovery course!
Our November 2023 Dark Web Seminar is designed to provide a foundational and advanced understanding of the hidden areas of the internet.
Parsons' August 2024 CASO™ I readiness program provides best-in-class certification standards to understand and exploit PAI.
Join us for our FREE Safe Traveler™ Course on Augst 19th-21st, taking place during the TechNet AFCEA Conference in Augusta, GA.
Parsons' September 2024 CASO™ I readiness program provides best-in-class certification standards to understand and exploit PAI.
The CASO II Course takes advanced digital researchers and trains them to strategically target big data sets to extract time-sensitive digital artifacts and synthesize streamlined reports across multiple domains. Register today for our June CASO™ II readiness program!
Our AD² course equips researchers with the necessary skills to safely understand the digital environment. Register today for our October 2024 Advanced Digital Discovery course!
The October Kali Linux course prepares students to conduct OSINT investigations using a Debian-based Linux distribution.
Parsons' October 2024 CASO™ I readiness program provides best-in-class certification standards to understand and exploit PAI.
Our October 2024 Dark Web Seminar is designed to provide a foundational and advanced understanding of the hidden areas of the internet.
Our 5-day Investigational Python course teaches CASO grads how to create code to automate their OSINT/PAI needs. This course is for government only. Register today for our November course!
Our November 2024 Dark Web Seminar is designed to provide a foundational and advanced understanding of the hidden areas of the internet.
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