DoD 8570 Training

The Department of Defense requires that all information assurance personnel must become compliant with IT and security certification standards.

DoD 8570 training, also called Information Assurance training, is available through TechNow to provide you with the certification that is required.  Your DoD 8570 training  ( information assurance training ) at TechNow will provide you with all of the courses necessary to receive your DoD 8570.01-M certification.

Ongoing open enrollment through TechNow is availble for our DoD 8570.01-M courses.

Please review the full & updated DoD approved IA baseline certifications aligned to each category & level of the IA workforce:

Note: The Certifications in red are recently added to approved list as of 2/4/19

For further information or to schedule for classes, call us at 800-324-2294

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Course Overview:

The focus of Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL110) will be managing OpenStack using both the web-based dashboard and the command-line interface, in addition to managing instances and installing a proof-of-concept environment using Red Hat OpenStack Platform (RHOSP) director. Essential skills covered in the course include configuring Red Hat OpenStack Platform (using the director UI); managing users, projects, flavors, roles, images, networking, and block storage; setting quotas; and configuring images at instantiation.

Attendees to CL-115 Red Hat OpenStack Administration I: Core Operations for Cloud Operators will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

This course is designed for Linux system administrators, cloud administrators, and cloud operators interested in, or responsible for, maintaining a private or hybrid cloud.

Prerequisites for this course is Red Hat Certified System Administrator (RHCSA) or demonstrate equivalent experience

Course Outline:

  • Launch an instance
  • Manage projects, quotas, and users
  • Manage networks, subnets, routers, and floating IP adresses
  • Create and manage block and object storage in the OpenStack framework
  • Customize instances with cloud-init
  • Deploy scalable stacks
  • Deploy RedHat OpenStack Platform using RHOSP director

 

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Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

 

Course Outline: 

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics 

 

Prerequisites: 

TN-412: Artificial Intelligence Essentials (AI|E) 

 

Dates/Locations:

No Events

Course Overview:

This course, TN-385: TCP/IP Analysis & Implementation, provides students with a comprehensive technical introduction to TCP/IP & the interworkings of TCP/IP application to UNIX, Linux and Windows in a network environment.  This course begins by providing a comprehensive protocol stack analysis.  It continues with extensive hands-on exercises needed to configure TCP/IP on UNIX and Windows based networks.

Attendees to TN-385: TCP/IP Analysis & Implementation will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • A thorough comprehension of each level of the protocol stack
  • Configuring UNIX & Windows to access internetworks
  • Configuring & setting up a Cisco router
  • Properly implementing subnets to avoid ongoing maintenance headaches
  • Routing & routing protocols, RIP, OSPF, and IGRP
  • How to troubleshoot a wide range of routing problems
  • All major TCP/IP application services including: FTP, TELNET, SNMP, NFS, DNS, DHCP, & WINS
  • How to avoid common internetworking problems
  • How to troubleshoot TCP/IP networks using protocol analysis techniques – snoop on Sun Workstation & Network Monitor on Windows.
  • How to design, build, configure, & manage TCP/IP internetworks
  • Applying a structured methodology for troubleshooting TCP/IP internetworks
  • ACL's on Cisco routers

Prerequisites:

  • Students should have good end-user skills in TCP/IP (FTP, TELNET, RLOGON,  & MAIL).

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