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
05/26/2026 - 05/29/2026
08:00 -16:00
PM-224: PMI Agile Certified Practitioner (PMI-ACP)® Prep Course
TechNow, Inc, San Antonio TX
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: 

AIE

 

Dates/Locations:

No Events

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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Course Overview:

Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.  TechNow’s  Ansible course facilitates the dynamic IT infrastructure through automation.

This course also supports DevOps practices through Ansible playbooks automating workflows.  TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.

This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • An introduction to Ansible
  • Install and configure Ansible development tools in VS Code and configure Ansible setting
  • Create and update inventories of managed hosts and manage connections to them
  • Automate administration tasks with Ansible Playbooks
  • Write effective playbooks at scale
  • Protect sensitive data used by Ansible Automation Platform with Ansible Vault
  • Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
  • Developing Automation Content: Variables, Task Control, Deploying Files
  • Developing Automation Content at Scale
  • Reusing Code with Ansible Roles and Content Collections
  • Automate Linux Administration Tasks

Prerequisites:

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