RH-245: Linux System Administration I

Course Overview:

The System Administration I for Red Hat course is designed for IT professionals working to become full-time enterprise Linux system administrators. This course gives the student direct experience with the most essential system administration tasks in the Red Hat. You will be instructed in crucial system management skills including: configuring network interfaces, client set up of network protocols, managing local disk devices, installation, package management, performing system boot procedures, grub and controlling system processes.

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

Dates/Locations:

Date/Time Event
09/14/2026 - 09/18/2026
08:00 -16:00 		RH-245: Linux System Administration I
TechNow, Inc, San Antonio TX

Duration: 5 days

Course Objectives:

  • Installation
  • Manage File Systems and Local Disk Drives
  • Perform Mounts and Unmounts
  • Perform System Boot Procedures
  • Tuning and Maintaining the Kernel
  • Control System Processes
  • Perform User Administration
  • Installing and Managing Services
  • Perform Package Administration
  • Client Setup of SSH and Printing

Prerequisites:

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User: mlspence

Instructor comments: Bill was awesome! He did a fantastic job teaching the course mater to everyone in the class. He made sure everyone was able to keep up and that they understood the material before moving on. Thanks!

Facilities comments: They were great as well

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DO-375: Automation with Ansible and Ansible Tower

 

Course Overview:

Through hands-on labs, you will learn to automate system administration tasks on managed hosts with Ansible, learn how to write Ansible playbooks to standardize task execution, and manage encryption for Ansible with Ansible Vault. This course will also teach you how to deploy and use Red Hat® Ansible Tower to centrally manage existing Ansible projects, playbooks, and roles; perform basic maintenance and administration of the Ansible Tower installation; and configure users and teams and use them to control access to systems, projects, and other resources through role-based access controls. You will learn to use Ansible Tower’s visual dashboard to launch, control, and monitor Ansible jobs; use the Ansible Tower application programming interface (API) to launch jobs from existing templates; automatically schedule Ansible jobs; and dynamically update host inventories.

Course Objectives:

  • Install and troubleshoot Ansible on central nodes and managed hosts
  • Automate administration tasks with Ansible playbooks and ad hoc commands
  • Write effective Ansible playbooks
  • Protect sensitive data used by tasks with Ansible Vault.
  • Install and configure Ansible Tower for enterprise Ansible management
  • Use Ansible Tower to control access to inventories and machine credentials by users and teams
  • Create job templates in Ansible Tower to standardize playbook execution.
  • Centrally launch playbooks and monitor and review job results with Ansible Tower

 

Course Outline:

  • Introduce Ansible
  • Deploy Ansible
  • Implement playbooks
  • Manage variables and inclusions
  • Implement task control
  • Implement Jinja2 templates
  • Implement roles
  • Configure complex playbooks
  • Implement Ansible Vault
  • Troubleshoot Ansible
  • Install Ansible Tower and describe Ansible Tower’s architecture
  • Create users and teams for role-based access control
  • Create and manage inventories and credentials
  • Manage projects for provisioning with Ansible Tower
  • Construct advanced job workflows
  • Update inventories dynamically and compare inventory members
  • Maintenance and administration of Ansible Tower

 
Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

  • Become a Red Hat Certified System Administrator, or demonstrate equivalent experience

Target Audience:

This course is designed for Linux system administrators, cloud administrators, and network administrators needing to automate configuration management, application deployment, and intraservice orchestration at an enterprise scale.

TN-905: Cyber Threat Intelligence Analysis

 

Course Overview:

TechNow has worked worldwide enterprise infrastructures for over 30 years and has developed demos and labs to exemplify the techniques required to demonstrate technologies that effectively support CTI.  This course integrates well with our courses TN-575: Open Source Network Security Monitoring and TN-865: Wireshark Network Traffic and Security Analysis .

TechNow develops Cyber Ranges and makes them available for conferences in support of annual meetings for Cyber Threat Response Teams.  Developing scenarios and reacting to them appropriately is a big part of the value in understanding the contexts required to comprehend valuable CTI.   As with many advanced TechNow security courses, there is a large hands-on ratio.  This course helps Cyber Protection Teams (CPT), Defensive Cyber Operations (DCO), and Mission Defense Teams (MDT) to collect, analyze and apply targeted cyber intelligence to defensive operations in order to proactively act on and tune response to attacks by cyber adversaries.  CPT, DCO, and MDT can take preemptive action by utilizing CTI, understanding CTI tools, techniques and procedures (TTPs) needed to generate and consume timely and relevant intelligence to improve resilience and prevention.

This course focuses on the collection, classification, and exploitation of knowledge about adversaries and their TTPs. .  MDT puts us close the mission and helps define the internal context to be analyzed against the CTI.  TechNow pushes the student to truly understand how to think about and use CTI to make a difference.

Attendees to TN-905: Cyber Threat Intelligence Analysis will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Learn to comprehend and develop complex scenarios
  • Identify and create intelligence requirements through practices such as threat modeling
  • Utilize threat modeling to drive intelligence handling and practices 
  • Breakdown tactical, operational, and strategic-level threat intelligence
  • Generate threat intelligence to detect, respond to, and defeat focused and targeted threats
  • How to collect adversary information creating better value CTI
  • How to filter and qualify external sources, mitigating low integrity intelligence
  • Create Indicators of Compromise (IOCs) in formats such as YARA, OpenIOC, and STIX
  • Move security maturity past IOCs into understanding and countering the behavioral tradecraft of threats
  • Breaking down threats mapped against their tradecraft to tweak IOCs
  • Establish structured analytical techniques to be successful in any security role
  • Learn and apply structured principles in support of CTI and how to communicate that to any security role.

Course Prerequisites:

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TN-535: Certified Forensic Computer Examiner (CFCE)

CCFE Core Competencies

  • Procedures and Legal Issues
  • Computer Fundamentals
  • Partitioning Schemes
  • Data Recovery
  • Windows File Systems
  • Windows Artifacts
  • Report writing (Presentation of Finding)
  • Procedures and Legal issues
  1. Knowledge of search and subjection and rules for evidence as applicable to computer forensics.
  2. Ability to explain the on-scene action taken for evidence preservation.
  3. Ability to maintain and document an environment consolidating the computer forensics.
  • Computer Fundamentals
  1. Understand BIOS
  2. Computer hardware
  3. Understanding of numbering system (Binary, hexadecimal, bits, bytes).
  4. Knowledge of sectors, clusters, files.
  5. Understanding of logical and physical files.
  6. Understanding of logical and physical drives.
  • Partitioning schemes
  1. Identification of current partitioning schemes.
  2. Understanding of primary and extended partition.
  3. Knowledge of partitioning schemes and structures and system used by it.
  4. Knowledge of GUID and its application.
  • Windows file system
  1. Understanding of concepts of files.
  2. Understanding of FAT tables, root directory, subdirectory along with how they store data.
  3. Identification, examination, analyzation of NTFS master file table.
  4. Understanding of $MFT structure and how they store data.
  5. Understanding of Standard information, Filename, and data attributes.
  • Data Recovery
  1. Ability to validate forensic hardware, software, examination procedures.
  2. Email headers understanding.
  3. Ability to generate and validate forensically sterile media.
  4. Ability to generate and validate a forensic image of media.
  5. Understand hashing and hash sets.
  6. Understand file headers.
  7. Ability to extract file metadata from common file types.
  8. Understanding of file fragmentation.
  9. Ability to extract component files from compound files.
  10. Knowledge of encrypted files and strategies for recovery.
  11. Knowledge of Internet browser artifacts.
  12. Knowledge of search strategies for examining electronic
  • Windows Artifacts
  1. Understanding the purpose and structure of component files that create the windows registry.
  2. Identify and capability to extract the relevant data from the dead registry.
  3. Understand the importance of restore points and volume shadow copy services.
  4. Knowledge of the locations of common Windows artifacts.
  5. Ability to analyze recycle bin.
  6. Ability to analyze link files.
  7. Analyzing of logs
  8. Extract and view windows logs
  9. Ability to locate, mount and examine VHD files.
  10. Understand the Windows swap and hibernation files.
  • Report Writing (Presentation of findings)
  1. Ability to conclude things strongly based on examination observations.
  2. Able to report findings using industry standard technically accurate terminologies.
  3. Ability to explain the complex things in simple and easy terms so that non-technical people can understand clearly.
  4. Be able to consider legal boundaries when undertaking a forensic examination

TN-412: Artificial Intelligence Essentials (AI|E)

Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events