TechNow provides an array of courses to meet our customer's requirements.  Courses that do not fit into our major course categories and custom or specialized courses appear here.  

Here are courses about specilaized Software or Hardware:

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Course Overview:

Every programmer must keep up with the latest tools and techniques. This course will help you push your skills to the next level and become a more accomplished programmer.  Advanced PERL Programming teaches you all the complex techniques for production-ready PERL programs and explains concepts such as introspection, overriding built-ins, extending PERL's OO model, and testing your code for greater stability.

Attendees to P-415: Advanced PERL Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Advanced Techniques
  • Parsing Techniques
  • Templating Tools
  • Objects, Databases, and Applications
  • Natural Language Tools
  • PERL and Natural Languages
  • Handling English Text
  • Modules for Parsing English
  • Categorization and Extraction
  • PERL and Unicode
  • POE
  • Programming in an Event-Driven Environment
  • Testing
  • Keeping Tests and Code Together
  • Inline Extensions
  • Just Another PERL Hacker

Prerequisites:

 

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Course Overview:

Intrusion Analyst is a hands-on course that covers intrusion detection in-depth. This includes concepts such as the use of Snort, network traffic analysis, and IDS signatures.

A skills focus enables the student to better absorb the subject matter and perform successfully on the job.   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 packet and intrusion analysis.

Attendees to TN-979: Intrusion Analyst will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Advanced Snort Concepts
  • Analyst Toolkit
  • Domain Name System (DNS)
  • Examining Packet Crafting
  • Examining Packet Header Fields
  • Fragmentation
  • ICMP Theory
  • IDS Interoperability
  • IDS Patterns
  • IDS/IPS Management & Architecture Issues
  • Indications, Warnings & Traffic Correlation
  • IPv6
  • Microsoft Protocols
  • Network Traffic Analysis
  • NIDS Evasion, Instertion & Checksums
  • Snort Fundamentals & Configuration
  • Snort GUIs & Sensor Management
  • Snort Performance, Active Response & Tagging
  • Snort Rules
  • Stimulus Response
  • TCPdump Fundamentals
  • TCP/IP Fundamentals
  • Wireshark Fundamentals
  • Writing TCPdump Filters

Course 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

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User: Tosha

Instructor comments: Dave was an excellent instructor. He is very informative and knowledgeable in the course and the material. I have enjoyed the class and I would take another course with him as the instructor.

Facilities comments: Very nice and clean hotel.


User: buckey26

Instructor comments: Dave was one of the best instructors I have ever had for a tech course. He broke down everything to the point where you can understand it internally.


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Course Overview:

The course teaches students to use the sort, grep, sed, & awk utilities within Unix. Systems administrators, Unix users, & programmers benefit from the course showing them how to use the command line applications of sort, grep, sed, & awk commands as well as using sed & awk scripts that develop the users skills with the full power of these utilities.

Attendees to TN-223: Advanced Shell Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 Days

Course Objectives:

  • Sorting files by line or field
  • Regular Expressions (meta character) with grep commands to locate specific lines in files
  • Performing non-interactive editing tasks with the sed command
  • Writing simple sed scripts to perform complex editing tasks
  • Using awk variables & arrays to sort data
  • Employing awk programs to manipulate numeric & textual data
  • Performing formatted printing in awk
  • Writing simple awk programs to write reports from data files
  • Using built-in awk functions & defining new functions
  • Write awk programs that make decisions based on numeric or string comparisons (branches & loops)
  • Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
  • Basic commands- Lab, Advanced commands- Lab, Advanced scripting -Lab
  • Miscellaneous commands Tr, sort, cut, paste, pr -Lab

Prerequisites:

  • TN-125: Introduction to UNIX & Linux
  • TN 215: Shell Programming.
  • Students should have a basic knowledge of UNIX commands including rm, cp, man, cat, & mkdir. Navigating directory structure using commands such as ls, cp, & pwd. Creating and editing files with the vi editor or text editor. Use of basic programming constructs, & commands such as variables & loops & how to write a simple program in a programming language.

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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.