PL-115: Fundamentals of Computer Programming

 

Course Overview:

This hands-on course provides a comprehensive introduction to programming logic, and builds a solid foundation of programming skills that can be used to master additional programming languages like C, C++, PERL, Java or Python. To learn programming you must focus on a particular language, and we have chosen Java.  In this course you will write and debug programs in Python. If you would like this course to use a different computer language, that can be arranged.

Attendees to PL-115: Fundamentals of Computer Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Writing Simple Programs Data Types, Constants, & Variables
  • Screen Output & Keyboard Input
  • Expressions
  • Decision Making
  • Looping
  • Subroutines
  • Debugging
  • Data Collections – Arrays
  • Data Collections – Classes Working with Files

Prerequisites:

  • This course is for students starting out in programming.  No programming experience is required.

 

Comments

Latest comments from students

User: tsonger

Instructor comments: While I could tell the instructor was very knowledgeable, his instructions were not very clear. He could've done a better job preparing for the class.

Facilities comments: Room was fine. The location of the room could have been better as the dings from the elevator were a bit distractive.

User: TracyPaul

Instructor comments: Very knowledgeable. Diagnosed our programming problems in short order. Could go into the details of 'why', versus only the 'how'.

Facilities comments: Outstanding. The hotel staff did a great job supporting our class.

 

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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

Test2

  

http://technow.www162-254-253-232.a2hosted.com/palo-alto-firewall-essentials-fasttrack-training-class-course-pa-215/

  

Course Overview:

PA-215: Palo Alto Networks Firewall Essentials FastTrack Training Class is a five-day course that teaches students to configure and manage the entire line of Palo Alto Networks next-generation firewalls. Through hands-on training, students learn high end skills of how to integrate Palo Alto next-generation firewalls into their network infrastructure.This is not a virtualized theoretical course.  This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk.  Real hardware per student for real experience and real skill development.  TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.

This course sets up the foundation for the two day course PA-222: Palo Alto Networks Panorama Essentials.

The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies.  Additionally, the instructor has taught several security appliance products and carries several SANS, Cisco, Unix, and Windows certifications.

Attendees to the PA-215:  Palo Alto Firewall Essentials FastTrack Training Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration 5 days

Course Objectives:  

Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks firewall, including hands-on experience in configuring the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks Operating System (PAN-OS).  

  • Day 1
    • Module 0 – Introduction & Overview
    • Module 1 – Administration & Management
      • Configuration Management
      • PAN-OS & Software Updates
      • Service Route Configuration
      • Log Forwarding
      • GUI, CLI, and API
    • Module 2 – Interface Configuration
      • L2 & L3
      • Vwire
      • Tap
      • Interface Management in Security Zones
      • VLANs
      • QoS
  • Day 2
    • Module 3 – Layer 3 Configuration
      • L3 Configuration and DHCP
      • NAT
      • DNS Proxy
      • Policy Based Forwarding in
      • Introduction to IPv6
    • Module 4 – App-ID
      • App-ID Process
      • Policy Administration
    • Module 5 – Content-ID
      • Antivirus
      • Anti-spyware
      • Vulnerability
      • URL Filtering
      • File Blocking and Wildfire
      • Data Filtering
      • DoS Protection
      • Botnet
  • Day 3
    • Module 6 – VM Firewall
      • Downlaod VM Template
      • Configure ESXi
      • Configure VM
    • Module 7 – Decryption
      • SSL Inbound and Outbound
    • Module 8 – Custom Signatures
      • Defining New Application Signatures
      • Application Override
      • Custom Threat ID
  • Day 4
    • Module 9 – User-ID
      • User-ID Agent
      • Terminal Server Agent
      • XML API
      • Captive Portal
    • Module 10 – VPN and GlobalProtect
      • Psec Tunnels
      • GlobalProtect
      • Agent
      • Portal
      • Gateway
      • HIP
  • Day 5
    • Module 11 – High Availability
      • Active/Passive
      • Active/Active
    • Module 12 – Panorama
      • Device Groups & Objects
      • Shared Policy
      • Configuration Management
      • Reporting

Prerequisites:

This course is in no way associated with Palo Alto Networks, Inc.

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CT-415: CompTIA SecAI+

CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

  • Apply AI concepts to strengthen your organization’s cybersecurity posture
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

     Basic AI concepts related to cybersecurity (17%)

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations. 
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards. 
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures. 
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers. 

AI-assisted security (24%)

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation. 
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration. 
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring. 

AI governance, risk, and compliance (19%)

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption. 
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle. 
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.

P-245: Programming with PERL

 

Course Overview:

This course teaches students how to use the powerful PERL programming language, focusing on hands-on labs to promote retention & challenge students to apply their skills to new situations. PERL is a flexible, easy to use language suitable for many tasks such as system administration, web applications & database integration. System administrators, web programmers & database administrators will benefit from mastering this powerful programming language. This course reviews & builds on the information presented in PL-115: Fundamentals of Computer Programming.

Attendees to P-245: Programming with PERL will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Introduction
  • Scalar Data
  • Lists & Arrays
  • Subroutines
  • Input & Output
  • Hashes
  • In the World of Regular Expressions
  • Matching with Regular Expressions
  • Processing Text with Regular Expressions
  • More Control Structures
  • File Tests
  • Directory Operations
  • Strings & Sorting
  • Process Management
  • PERL Modules
  • Some Advanced PERL Techniques

Prerequisites:

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