Here are the General Unix course offerings:

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:
Course Overview:
TN-205: A+ Skills Class provides students with the skills, knowledge and understanding that will enable them to install, configure, upgrade, troubleshoot and repair personal computer systems. The A+ curriculum is excellent preparation for almost any computer related career or position. This course lays the foundation for further study in networking and programming. Designed for the new computer professional who has support knowledge of PC hardware, but needs to expand upon that knowledge.
Attendees to the TN-205: A+ Skills Class will receive TechNow approved course materials and expert instruction.
Please Note: This course is designed with a focus on skills and is not a preparation course for certification.
Dates/Locations:
Duration: 5 Days
Course Objectives:
- Identifying, Adding & Removing System Components
- Installation, Configuring & System Optimization
- Diagnosing & Troubleshooting Problems
- Power Protection & Safety Procedures
- Motherboards, Processors & Memory
- Printers
- Basic Networking
- Operating System Fundamentals
- Installation, Configuration & Upgrade
- Diagnosing & Troubleshooting
- Networks
Prerequisites:
-
None
Comments
Latest comments from students
Liked the class? Then let everyone know!
TechNow is in no way associated with SANS or GIAC, but has courses that are similar in subject matter:
- TN-345: Python for Penetration Testers
- TN-865: Wireshark Network Traffic and Security Analysis
- TN-901: Linux for Security Professionals
- TN-909: Windows Forensic Analysis
- TN-913: Cloud Security Fundamentals
- TN-919: Penetration Tester Course
- TN-929: Security Essentials Training Course
- TN-939: Hacker Techniques, Exploits, and Incident Handling Course
- TN-949: Certified Firewall Analyst Course
- TN-959: UNIX Security Administrator Course
- TN-969: Windows Security Administrator Course
- TN-979: Intrusion Analyst Course
- TN-989: Advanced Penetration Testing, Exploits, and Ethical Hacking Course
- TN-999: Reverse Engineering Malware Course
Course Overview:
Dates/Locations:
Duration: 5 Days
Course Objectives:
- Prepare and install Nano Server, a Server Core installation, and plan a server upgrade and migration strategy
- Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to manage disks and volumes
- Describe enterprise storage solutions, and select the appropriate solution for a given situation
- Implement and manage Storage Spaces and Data Deduplication
- Install and configure, and manage Windows and Hyper-V containers
- Describe the high availability and disaster recovery technologies in Windows Server 2016
- Plan, create, and manage a failover cluster
- Implement failover clustering for Hyper-V virtual machines
- Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation
- Create and manage deployment images
- Manage, monitor, and maintain virtual machine installations
Prerequisites:
- A basic understanding of networking fundamentals
- An awareness and understanding of security best practices
- An understanding of basic AD DS concepts
- Basic knowledge of server hardware
- Experience supporting and configuring Windows client operating systems such as Windows 10
Liked the class? Then let everyone know!