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:
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:

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:
The RHCSA Rapid Track Course is designed for experienced Linux® system administrators who want to expand their technical skill sets and become accredited with the Red Hat® Certified System Administration (RHCSA) certification. To successfully navigate this course, students should have experience with the Linux command line—including the necessary skills to execute common commands, such as cp, grep, sort, mkdir, tar, mkfs, ssh, and dnf—and be familiar with accessing man pages for help. At the completion of the course, students will be adequately prepared to take the RHCSA exam (EX200) .
Date/Locations:
Duration: 5 days
Course Objectives:
Prerequisites:
Experience in the field system administration.
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Palo Alto Networks
CompTIA
Unix/Linux
Project Management
Virtualization/Cloud
Security
Cisco
Microsoft
Business
Dod 8140 Training
Programming
Specialized
Course Overview:
This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.
This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.
Date/Locations:
Duration: 5 days
Course Objectives:
Prerequisites:
Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.
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