Welcome to TechNow! The Leader in Information Security Training & Computer Training.

The world of information security and computer training is ever changing.  The techniques and systems continue to evolve and we must stay current and diligent.  To do this, you can count on TechNow®…the leader in cybersecurity training and computer system training.

TechNow® has been training the leaders in the computer community for many years.  We provide training for students in a number of areas.  Our cybersecurity trainings include popular courses like D0D 8140, Security , CISM, CISSP, CEH,CCNA, and more.  With over 34 years of experience, we’re able to provide you with unmatched training and certification programs.

TechNow also provides a variety of other popular trainings for the computer professional including Cisco, EC-Council, CompTIA, Unix/Linux and more.

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Upcoming Events

  • TN-545: Certified Network Defender
    • 04/27/2026 – 05/01/2026
    • San Antonio
  • TN-715: Systems Security Certified Practitioner (SSCP)
    • 04/27/2026 – 05/01/2026
    • San Antonio
  • TN-825: Certified Information Security Manager (CISM) Seminar
    • 04/27/2026 – 05/01/2026
    • San Antonio
  • CT-225: Network+
    • 05/04/2026 – 05/08/2026
    • San Antonio
  • CT-245: Linux+
    • 05/11/2026 – 05/15/2026
    • San Antonio
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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.

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    Course Overview:

    In this course students will learn to install the Linux™ operating system, to administer users and software, to use vi, basic Linux security, process control, file system maintenance, backup and recovery, including some basic networking concepts. This course insures that students have the skills to configure all desktop and client side related activity.

    Attendees to L-245: Linux System Administration I will receive TechNow approved course materials and expert instruction.

    Dates/Locations:

    No Events

    Duration: 5 days

    Course Objectives:

    • Linux operating system installation
    • Hardware Issues
    • LILO & GRUB Configuration
    • Managing the Linux file system
    • Boot Process
    • Customization of setup files
    • System Startup
    • Run Levels
    • Network Services
    • User Management
    • Changing Passwords
    • Monitoring, accessing & restricting root system access
    • Administration Tools
    • Disk Management
    • Quotas
    • Process Control
    • Installing & removing software & patches
    • Network Configuration
    • Client side components of NFS, Samba, NTP, NIS
    • Printing
    • Backup and Recovery
    • Using utilities for process control, locating files & automating maintenance tasks

    Prerequisites:

    • Students should have an understanding of all basic UNIX commands as well as variable substitution, wild card expansion, command pipes, permissions, the grep  and find commands.
    • These prerequisites can be met through completion of TN-125: Introduction to UNIX & Linux and six month’s experience with Linux.

     

    Comments

    Latest comments from students


    User: flores2015

    Instructor comments: Very Good Instructor (Bill Peterson)

    Facilities comments: Nice - Can't wait for your new facility.



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    Course Overview:

    AWS System Operations begins with a one day  introduction to AWS products, services, and common solutions. It provides you with fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements and get started working on AWS.

    The AWS course continues to flow with teaching those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.

    To continue to learn more about AWS, TechNow has the following course:

    CL-425: AWS Security Operations and Architecture 

    Attendees to CL-415: AWS System Operations will receive TechNow approved course materials and expert instruction.

    Duration: 5 Days

    Audience:
    This course is intended for:
    • System Administrators
    • Software Developers, especially those in a Developer Operations (DevOps) role

    DoD 8140: Not Mandated

    Course Prerequisites:
    We recommend that attendees of this course have the following prerequisites:
    • Background in either software development or systems administration
    • Some experience with maintaining operating systems at the command line (shell scripting in Linux environments, cmd or PowerShell in Windows)
    • Basic knowledge of networking protocols (TCP/IP, HTTP)

    Course Objectives:
    This course is designed to teach you how to:
    • Understand basic data center design concepts.
    • Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
    • Understand the foundational infrastructure services, including Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Amazon Elastic Block Store (EBS), Amazon Simple Storage Service (S3), Auto Scaling, and Elastic Load Balancing (ELB).
    • Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
    • Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS).
    • Understand AWS management tools, including Amazon CloudWatch and AWS Trusted Advisor.
    • Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing, and Auto Scaling from the command line
    • Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion
    • Build functioning virtual private networks with Amazon VPC from the ground up using the AWS Management Console
    • Deploy Amazon EC2 instances using command line calls and troubleshoot the most common problems with instances
    • Monitor the health of Amazon EC2 instances and other AWS services
    • Manage user identity, AWS permissions, and security in the cloud
    • Manage resource consumption in an AWS account using tools such as Amazon CloudWatch, tagging, and Trusted Advisor
    • Select and implement the best strategy for creating reusable Amazon EC2 instances
    • Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand
    • Edit and troubleshoot a basic AWS CloudFormation stack definition

    Dates/Locations:

    No Events

    Course Outline:

    Day 1

    • Introduction and History of AWS
    • AWS Infrastructure: Compute, Storage, and Networking
    • AWS Security, Identity, and Access Management
    • AWS Databases
    • AWS Management Tools

    Day 2
    • System Operations on AWS Overview
    • Networking in the Cloud
    • Computing in the Cloud
    Day 3
    • Storage and Archiving in the Cloud
    • Monitoring in the Cloud
    • Managing Resource Consumption in the Cloud
    Day 4
    • Configuration Management in the Cloud
    • Creating Scalable Deployments in the Cloud
    • Creating Automated and Repeatable Deployments
    Day 5
    Full Day Lab
    • Select the appropriate AWS service based on compute, data, or security requirements
    • Execute steps required to provision cloud resources for selected deployment
    • Identify and implement data protection, encryption, and capacity planning
    • Implement and manage security policies, access controls, and role
    • Implement Automation

     

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