Course Overview:

TN-205: A+ Skills Class provides students with the skills, knowledge and understanding that will enable them to install, configure, upgrade, troubleshoot and repair personal computer systems.  The A+ curriculum is excellent preparation for almost any computer related career or position.  This course lays the foundation for further study in networking and programming.  Designed for the new computer professional who has support knowledge of PC hardware, but needs to expand upon that knowledge.

Attendees to the TN-205: A+ Skills Class will receive TechNow approved course materials and expert instruction.

Please Note:  This course is designed with a focus on skills and is not a preparation course for certification.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Identifying, Adding & Removing System Components
  • Installation, Configuring & System Optimization
  • Diagnosing & Troubleshooting Problems
  • Power Protection & Safety Procedures
  • Motherboards, Processors & Memory
  • Printers
  • Basic Networking
  • Operating System Fundamentals
  • Installation, Configuration & Upgrade
  • Diagnosing & Troubleshooting
  • Networks

Prerequisites:

  • None

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Course Overview:

 

This Python for Penetration Testing course is designed to give you the skills you need for maintaining or developing Python Penetration Testing tools oriented towards offensive operations.  We have a suite of courses and certifications that help  understand a problem, this course prepares the student to rapidly develop prototype code to attack or defend against it.

The course concludes with a Capture the Flag event that will test both your ability to apply your new tools and coding skills in a Python Penetration Testing challenge.

This course is not intended to be an Advanced Python course, but to exemplify penetration techniques utilizing Python.  The course covers Threading, Sockets, OOP, and third party modules that facilitate the offensive operator’s objective.

This course utilizes the “Violent Python” text book.

Attendees to TN-345: Python for Penetration Testers Class will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 Days

Course Objectives:

  • Python Lanuage Refress
  • Network Sockets
  • Exception Handling
  • Hashes and Cracking Passwords
  • Threading
    • Concepts and Python Implementation
    • Queues and Synchronization
    • urlparse and httplib to probe URLs
    • Crack a password protected zip file
  • Port Scanner
    • Threading a Port Scanner
  • nmap integration
  • Deploying shellcode
  • Mechanize, BeautifulSoup
    • HTTP Form Password Guessing
    • HTTP Proxies (Burp Suite)
    • HTTP Cookies Session Hijacking
      • CookieMonster
  • Images and Metadata
  • Justniffer
  • SQL Injection
    • sqlmap
    • SQLBrute
  • Antivirus and IDS evasion
    • PyInstaller
    • Metasploit
  • Scapy
    • Deploy shellcode
    • DNS Cache Poisoning
    • Packety Violence

Prerequisites:

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Course Overview:

This comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.

Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • The Current State of the Telecom Industry
  • Telecom Service Providers
  • Digitalizing Voice
  • Communication Mediums and Multiplexing
  • Carrier Access: Customer-to-Carrier Connections
  • Broadband Access
  • Enterprise Networks
  • Carrier Transport Services
  • Data Communications and Packet-Switched Networks
  • Migrating Voice from Circuit-to-Packet-Switched Networks
  • Carrier Data Services
  • Ethernet Services
  • Remote Access Virtual Private Networks (VPNs)
  • Video Technology and Services
  • Current Mobile Wireless Services
  • Fixed Mobile Convergence (FMC)
  • Worldwide Interoperability for Microwave Access (WiMax)
  • Multimedia Subsystem (IMS)

Prerequisites:

  • None

 

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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.

Working with the TechNow lab for the PA-215: Palo Alto Networks Firewall Essentials FastTrack course has been nothing less than a techie's idea of fun.  When students come in we are immediatly configuring the Cisco 3750 switches for access ports, VLANS, and trunks.  We then cable the switch to the Palo Alto Networks Firewall.  Each student gets their own Palo Alto Firewall Pod of hardware and software.  What we find as fun is the VLAN environment, with an array of virtual machines hosted on an ESXi server that can really exercise the abilities of the Palo Alto Firewall.  The DMZ VLAN hosts virtual machines that support enterprise services and also potentialy vulnerable web services.  The Trust VLAN has Windows and Linux clients.  The UnTrust VLAN has Web services and a VM of Kali. The hardware Firewall is additionally connected to a Management VLAN.  All those VLANs are trunked into an ESXi server where the student also has a VM-Series Palo Alto Networks Firewall for High Availability.  

After configuring all the trunking, VLANs, and network interfaces we learn about the firewall and configure it for the lab environment.  Using Metasploitable and Kali/Metasploit nefarious penetration attempts are executed.  Using packet captures, custom APP-ID's  and custom signatures are generated.  Custom logging and reporting are created to similate and enterprise and assist the desired Incident Response.  It is always fun in a training environment to learn all about the controls available in a product, even though specific controls may not be used in the operational environment.  In the end we have a good understanding of the Palo Alto Networks Firewall.