Course Overview:

This course is developed for those individuals seeking to pass the Project Management Institute’s PMI-ACP Exam. PMI Agile Certified Practitioner (PMI-ACP)® is one of the newest certifications offered by PMI and is expected to become the industry standard certification for agile over the next few years. The PMI-ACP® certification clearly illustrates to colleagues, organizations or even potential employers that students are ready and able to lead in this new age of product development, management, and delivery.

While preparing you for the exam, you will explore various approaches to agility including Scrum, Kanban, Lean, Extreme Programming (XP), and Test-Driven Development (TDD). By the end of the course, you’ll have mastered the practices and techniques that Agile practitioners use to improve team performance, resolve problems and engage in continuous process improvements and be equipped with job-ready skills.

This course provides students with 21 contact hours in agile practices to help attain the Project Management Institute (PMI)® credential.  PMI® and PMI-ACP® are registered marks of the Project Management Institute, Inc.

Attendees to PM-224: PMI Agile Certified Practitioner (PMI-ACP) Prep Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time Event
08/17/2026 - 08/20/2026
08:00 -16:00
PM-224: PMI Agile Certified Practitioner (PMI-ACP)® Prep Course
TechNow, Inc, San Antonio TX
12/14/2026 - 12/17/2026
08:00 -16:00
PM-224: PMI Agile Certified Practitioner (PMI-ACP)® Prep Course
TechNow, Inc, San Antonio TX

Duration: 4 Days

Course Objectives:

  • Agile Principles and Mindset
  • Value-driven delivery
  • Stakeholder engagement
  • Team performance
  • Adaptive planning
  • Problem detection and Resolution
  • Continuous Improvement

Prerequisites:

  • Secondary degree
  • 21 contact hours of training in agile practices
  • 12 months of general project experience within the last 5 years. A current PMP® or PgMP® will satisfy this requirement but is not required to apply for the PMI-ACP
  • 8 months of agile project experience within the last 3 years

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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:

No Events

 

Course Overview:

TN-575: Open Source Network Security Monitoring teaches students how to deploy, build, and run an NSM operation using open source software and vendor-neutral tools. No network is bullet proof and when attackers access your network, this course will show you how to build a security net to detect, contain, and control the attacker. Sensitive data can be monitored and deep packet and deep attachment analysis can be achieved. As organizations stand up a Security Operations Center (SOC) the enterprise NSM is the key ingredient to that SOC. This course not only teaches how to implement an NSM technologically, but how to effectively monitor an enterprise operationally. You will learn how to architect an NSM solution: where to deploy your NSM platforms and how to size them, stand-alone or distributed, and integration into packet analysis, interpret evidence, and integrate threat intelligence from external sources to identify sophisticated attackers. A properly implemented NSM is integral to incident response and provides the responders timely information to react to the incident. TN-575: Open Source Network Security Monitoring is a lab intensive environment with a cyber range that gives each student in-depth knowledge and practical experience monitoring live systems to include: Cisco, Windows, Linux, IoT, and Firewalls.

Attendees to TN-575: Open Source Network Security Monitoring class will receive TechNow approved course materials and expert instruction.

This Course is taught utilizing Security Onion or RockNSM as specified by the customer.

Dates/Locations:

No Events

Duration: 5 Days

Course Objective:

The focus of this course is to present a suite of Open Source security products integrated into a highly functional and scalable Network Security Monitoring solution.

Prerequisites:

Students should have a basic understanding of networks, TCP/IP and standard protocols such as DNS, HTTP, etc. Some Linux knowledge/experience is recommended, but not required

Course Outline:

  • Network Security Monitoring (NSM) Methodology
  • High Bandwidth Packet Capture Challenges
  • Installation of Security Onion
    • Use Cases (analysis, lab, stand-alone, distributed)
    • Resource Requirements
  • Configuration
    • Setup Phase I – Network Configuration
    • Setup Phase 2 – Service Configuration
    • Evaluation Mode vs. Configuration Mode
    • Verifying Services
  • Security Onion Architecture
    • Configuration Files and Folders
    • Network Interfaces
    • Docker Environment
    • Security Onion Containers
  • Overview of Security Onion Analyst Tools
    • Kibana
    • CapME
    • CyberChef
    • Squert
    • Sguil
    • NetworkMiner
  • Quick Review of Wireshark and Packet Analysis
    • Display and Capture Filters
    • Analyze and Statistics Menu Options
    • Analysis for Signatures
  • Analyzing Alerts
    • Replaying Traffic
    • 3 Primary Interfaces:
      • Squert
      • Sguil
      • Kibana
    • Pivoting Between Interfaces
    • Pivoting to Full Packet Capture
  • Snort and Surricata
    • Rule Syntax and Construction
    • Implementing Custom Rules
    • Implementing Whitelists and Blacklists
  • Hunting
    • Using Kibana to Slice and Dice Logs
    • Hunting Workflow with Kibana
  • Bro
    • Introduction and Overview
      • Architecture, Commands
    • Understanding and Examining Bro Logs
      • Using AWK, sort, uniq, and bro-cut
    • Working with traces/PCAPs
    • Bro Scripts Overview
      • Loading and Using Scripts
    • Bro Frameworks Overview
      • Bro File Analysis Framework FAF
    • Using Bro scripts to carve out more than files
  • RockNSM ( * If Applicable)
    •  Kafka
      • Installation and Configuration
      • Kafka Messaging
      • Brokers
      • Integration with Bro and FSF
    • File Scanning Framework FSF
      • Custom YARA Signatures
      • JSON Trees
      • Sub-Object Recursion
      • Bro and Suricata Integration
  • Elastic Stack
    • Adding new data sources in Logstash
    • Enriching data with Logstash
    • Automating with Elastalert
    • Building new Kibana dashboards
  • Production Deployment
    • Advanced Setup
    • Master vs Sensor
    • Node Types – Master, Forward, Heavy, Storage
    • Command Line Setup with sosetup.conf
    • Architectural Recommendations
    • Sensor Placement
    • Hardening
    • Administration
    • Maintenance
  • Tuning
    • Using PulledPork to Disable Rules
    • BPF’s to Filter Traffic
    • Spinning up Additional Snort / Suricata / Bro Workers to Handle Higher Traffic Loads

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We are often asked what is the recommended sequence of classes.  Here is our recommended sequence of classes for The Security Field.

Certified Information Security Manager (CISM)

CT-325 CompTIA Security+ Arrowright TN-825 Certified Information Security Manager

Certified Information Systems Auditor(CISA)

CT-325 CompTIA Security+ Arrowright TN-425 Certified Ethical Hacker Arrowright TN-822: Certified Information Systems Auditor (CISA)

Certified Information Systems Security Professional(CISSP)

CT-325 CompTIA Security+ Arrowright TN-425 Certified Ethical Hacker Arrowright TN-815 CISSP Certification Prep Seminar

 

 

 

 

 

 

 

 

Course Overview:

The Computer Hacking Forensic Investigator (CHFI) course delivers the security discipline of digital forensics from a vendor-neutral perspective. CHFI is a comprehensive course covering major forensic investigation scenarios and enabling students to acquire necessary hands-on experience with various forensic investigation techniques and standard forensic tools necessary to successfully carry out a computer forensic investigation leading to the prosecution of perpetrators.

The CHFI certification gives participants the necessary skills to perform an effective digital forensics investigation. CHRI presents a methodological approach to computer forensics including searching and seizing, chain-of-custody, acquisition, preservation, analysis and reporting of digital evidence

What’s Included:

  • 5 days of instructor-led in classroom training
  • Detailed Labs for hands-on learning experience; approximately 50% of training is dedicated to labs
  • Hundreds of investigation tools including EnCase, Access Data FTL, & ProDiscover
  • Huge cache of evidence files for analysis including RAW, .dd images, video & audio files, MS Office files, systems files, etc.
  • CHFI Courseware
  • Exam Voucher
  • CHFI onsite exam scheduling

Course Objectives:

  • Establish threat intelligence and key learning points to support pro-active profiling and scenario modeling
  • Perform anti-forensic methods detection
  • Perform post-intrusion analysis of electronic and digital media to determine the who, where, what, when, and how the intrusion occurred
  • Extract and analyze of logs from various devices like proxy, firewall, IPS, IDS, Desktop, laptop, servers, SIM tool, router firewall, switches AD server, DHCP logs, Access Control Logs & conclude as part of investigation process
  • Identify & check the possible source/ incident origin
  • Recover deleted files and partitions in Windows, MAC OS X, and Linux
  • Conduct reverse engineering for known and suspected malware files
  • Collect data using forensic technology methods in accordance with evidence handling procedures, including collection of hard copy and electronic documents

Dates/Locations:

Date/Time Event
09/28/2026 - 10/02/2026
08:00 -16:00
TN-415: Computer Hacking Forensics Investigator (CHFI)
TechNow, Inc, San Antonio TX

Duration: 5 Days

Course Content:

    • Module 01. Computer Forensics in Today’s World
    • Module 02. Computer Forensics Investigation Process
    • Module 03. Understanding Hard Disks and File Systems
    • Module 04. Data Acquisition and Duplication
    • Module 05. Defeating Anti-forensics Techniques
    • Module 06. Operating System Forensics (Windows, Mac, Linux)
    • Module 07. Network Forensics
    • Module 08. Investigating Web Attacks
    • Module 09. Database Forensics
    • Module 10. Cloud Forensics
    • Module 10. Malware Forensics
    • Module 11. Investigating Email Crimes
    • Module 12. Investigating Email Crimes
    • Module 13. Mobile Forensics
    • Module 14. Forensics Report Writing and Presentation

 

Prerequisites:

      • 2+ years of proven information security work experience
      • Educational background with digital security specialization

    Target Audience:

      • Law Enforcement
      • Defense & Military
      • E-Business Security
      • Systems Administrators
      • Legal Professionals
      • Banking & Insurance professionals
      • Government Agencies
      • IT Managers

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