TN-425: Certified Offensive AI Security Professional (C|OASP)

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

N-315: Cisco Secure Virtual Private Networks

Course Overview:

This course is designed for students who intend to work with virtual private networks (VPNs) using IPSec. The course includes detailed coverage of the VPN 3000 Concentrator, a scalable remote access platform that offers encryption, high availability, and superior performance. This class is an invaluable theory and configuration guide for the VPN 3000 series of products, with its thorough coverage of concentrators, hardware clients, and software clients.

Attendees to N-315: Cisco Secure Virtual Private Networks will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Network Security & Virtual Private Network Technologies Cisco VPN 3000 Concentrator Series Hardware Overview
  • Routing on the VPN 3000
  • Configuring the Cisco VPN 3000 for Remote Access Using Pre-shared Keys
  • Configuring the Cisco VPN 3000 for Remote Access Using Digital Certificates
  • The Cisco VPN Client Firewall Feature
  • Configuring the Cisco 3002 Hardware Client for Remote Access
  • Configuring the Cisco 3002 Hardware Client for User & Unit Authentication
  • Configuring Cisco VPN Clients for Backup Server, Load Balancing & Reverse Route Injection
  • Configuring the Cisco 3000 Concentrator for IPSec over TCP & UDP
  • Configuring LAN-to-LAN VPNs on the Cisco 3000
  • Network Monitoring & Administration Troubleshooting

Prerequisites:

  • Students who attend this advanced course must have experience in configuring Cisco IOS software
  • CCNA certification
  • Basic knowledge of the Windows operations system
  • Familiarity with the networking & security terms & concepts

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TN-939: Hacker Techniques, Exploits, and Incident Handling Course

Course Overview:

A skills focus enables the student to better absorb the subject matter and perform successfully on the exam.   This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of the attacks and the effectiveness.  Students then gain network experience and use sniffing to help exemplify the benefit of learning wired and wireless security configurations. The course concludes with exercising real attack strategies to demonstrate the techniques acquired throughout the course.

Attendees to TN-939:  Hacker Techniques, Exploits, and Incident Handling will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 9 days

Course Objectives:

  • Backdoors & Trojan Horses
  • Buffer Overflows
  • Covering Tracks: Networks
  • Covering Tracks: Systems
  • Denial of Service Attacks
  • Exploiting Systems Using Netcat
  • Format String Attacks
  • Incident Handling Overview and Preparation
  • Incident Handling Phase 2: Identification
  • Incident Handling Phase 3: Containment
  • Incident Handling: Recovering and Improving Capabilities
  • IP Address Spoofing
  • Network Sniffing
  • Password Attacks
  • Reconnaissance
  • Rootkits
  • Scanning: Host Discovery
  • Scanning: Network and Application Vulnerability scanning and tools
  • Scanning: Network Devices (Firewall rules determination, fragmentation, and IDS/IPS evasion)
  • Scanning: Service Discovery
  • Session Hijacking, Tools and Defenses
  • Types of Incidents
  • Virtual Machine Attacks
  • Web Application Attacks
  • Worms, Bots & Bot-Nets

Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, Networking, and Security Experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

Comments

Latest comments from students

User: m_jurrens

Instructor comments: Both instructors Mr. Askey and Mr. Hackney, were very good. the open learning environment was extremely productive and I felt we all learned far more that we ever would out of a structured rote memorization course.

User: natebonds

Instructor comments: Both Mr. Askey and Hackney were extremely knowledgeable. They were also extremely interested in helping each student learn. I was particularly impressed with the way they tailored the course to optimize our time since we weren't testing. I feel like I know much much more than I did when the class started.

Facilities comments: The facilities were fine. I would have preferred it be closer to Lackland.

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TN-385: TCP/IP Analysis & Implementation

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).

Comments

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TN-413: Certified AI Program Manager (C|AIPM)

Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

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