Here are the General Unix course offerings:
DoD 8570 Training in San Antonio, TX.
TechNow has developed a proven training program that brings the skillset to the certification process. TechNow is a mobile testing center that can deliver D0D 8570 training and the certification in one week. Our intergrated DoD 8570 training in San Antonio, TX incorporates hands on skills with testing objectives that produces an incredibly high pass rate. To learn more about our DoD 8570 training program click here
Palo Alto Networks
CompTIA
Unix/Linux
Project Management
Virtualization/Cloud
Security
Cisco
Microsoft
Business
Dod 8140 Training
Programming
Specialized
Course Overview:
This course will provide students with proficiency in the everyday management of Linux based clients and basic management of server system. Students will learn the knowledge and tools necessary to manage Linux systems from the command line, as well as how to manage user administration, file permissions, software configurations, and Linux based clients, server systems and security. Let us help you prepare for the CompTIA Linux+ exam (XK0-005).
TechNow is a CompTIA partner and uses official CompTIA Linux+ curriculum.
Attendees to CT-245: Linux+ will receive TechNow approved course materials and expert instruction.
Dates/Locations:
| Date/Time | Event |
|---|---|
|
08/10/2026 - 08/14/2026 08:00 -16:00 |
CT-245: Linux+ TechNow, Inc, San Antonio TX |
|
11/02/2026 - 11/06/2026 08:00 -16:00 |
CT-245: Linux+ TechNow, Inc, San Antonio TX |
Duration: 5 Days
Course Objectives:
- Perform basic Linux tasks
- Manage users and groups
- Manage permissions and ownership
- Manage storage
- Manage files and directories
- Manage kernel modules
- Manage the Linux boot process
- Manage system components
- Manage devices
- Manage networking
- Manage packages and software
- Secure Linux systems
- Write and execute Bash shell scripts
- Automate tasks
- Plan and perform a Linux installation
Prerequisites:
- CompTIA A + certification or equivalent experience
Comments
Latest comments from students
User: cwbrind
Instructor comments: Great experience with Mr. Peterson, would recommend again. Highly knowledgable and approachable for any subject.
Facilities comments: The Holiday Inn was a nice location for learning despite traffic around the area.
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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: