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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TechNow provides an array of courses to meet our customer's requirements.  Courses that do not fit into our major course categories and custom or specialized courses appear here.  

Here are courses about specilaized Software or Hardware:

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TechNow offers the full gamut of programming languages from ANSI C and C++ to the various Microsoft .Net languages (Visual Basic, C# and C++).  If you are completely new to programming, TechNow offers courses that demonstrate the fundamentals to get you started.

If you prefer Unix/Linux, we offer Shell Programming, as well as, Perl and Python.  We also offer courses in the web development languages, such as, Java Servlets, JSP, and ASP .Net.

The following is a list of our Programming training courses:

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CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

  • Apply AI concepts to strengthen your organization’s cybersecurity posture
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

     Basic AI concepts related to cybersecurity (17%)

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations. 
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards. 
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures. 
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers. 

AI-assisted security (24%)

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation. 
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration. 
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring. 

AI governance, risk, and compliance (19%)

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption. 
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle. 
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.

The Microsoft platform is arguably the largest component in any IT architecture, and rate of change in this arena makes training in the Microsoft platform a must.  TechNow can and does teach the entire gamut of Microsoft technologies, from Servers to application development. 

Here is a list of all of our Microsoft courses:

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