Course Overview:

Linux System Administration II course is for experienced administrators ready for advanced administration topics. This course provides students with hands-on experience working with more complex and integrated administration concepts, and builds upon the Part 1 course. Students will be instructed in essential  local Red Hat system administration skills including: Logical Volumes, Raid Management, and System Logging, SELinux and Virtual Machines.  The Linux System Administration II course will get you started in understanding network administration topics, including monitoring, routing, Firewall with iptables, and servers such as NFS, SAMBA, DNS, SMTP, HTTP, DHCP, and Kickstart.

Attendees to RH-295: Linux System Administration II will receive TechNow approved course materials and expert instruction.

Dates/Locations:

Date/Time Event
09/21/2026 - 09/25/2026
08:00 -16:00
RH-295: Linux System Administration II
TechNow, Inc, San Antonio TX

Duration: 5 days

Course Objectives:

  • Managing Logical Volumes and RAID
  • Network Routing, Filtering and Monitoring
  • Configuring File Sharing Across Platforms
  • Configuring Internet Services
  • Configuring Security
  • Configuring System Messaging
  • Using Name Services
  • Configuring Name Service Clients
  • Configuring Kickstart
  • Virtualization with KVM
  • Troubleshooting Boot Process

Prerequisites:

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Course Overview: 

Learn to protect yourself and your company against hackers, by learning their tools and techniques, and then testing your network.  This course is heavily based on Kali and primarily on Metasploit.  In TN-515: Implementing Cybersecurity and Information Assurance Methodologies class you will learn the step by step process that hackers use to assess your enterprise network, probe it & hack into it, utilizing a mixed-platform target environment including Windows, Linux, Solaris, and Cisco.  This course is 90% hacking, but  defenses for demonstrated hacks will be discussed.  If you want to know the ins and outs of the hacks presented in this course, then this is the course for you.

Attendees to TN-515: Implementing Cybersecurity and Information Assurance Methodologies Class Attendees will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Introduction to Pen Testing using the PTES model
  • Metasploit Basics
    • MSFconsole, MSFcli, Armitage, MSFpayload, MSFencode, NasmShell
  • Intelligence Gathering
    • Nmap, Databases in Metasploit, Port Scanning with Metasploit
  • Quick Intro to Ruby
    • Writing a simple Ruby script to create a custom scanner
  • Vulnerability Scanning
    • Importing Nessus Results
    • Scanning with Nessus from Within Metasploit
  • Exploitation
    • Using the Metasploit Framework and console to exploit
  • Meterpreter
    • Compromising a Windows System
    • Attacking MS SQL, xp_cmdshell
    • Dumping Usernames and Passwords, extracting and dumping hashes
    • Pass the Hash and Token Impersonation
    • Pivoting
    • Railgun
    • Using Meterpreter Scripts: Migrating a process, Killing AV, Persistence
  • Avoiding Detection
    • Creating Stand-Alone Binaries with MSFpayload
    • Encoding with MSFencode and Packers (go Green Bay:)
  • Exploitation Using Client Side Attacks
    • Introduction to Immunity Debugger
    • Using Immunity Debugger to Decipher NOP Shellcode
  • Metasploit Auxiliary Modules
  • Social Engineer Toolkit (SET)
    • Spear-Phishing, Web Attack
    • Creating a Multipronged Attack
  • Creating Your Own Module
    • Adapt an existing Module
    • Add some PowerShell and Run the Exploit
  • Meterpreter Scripting
  • Capture The Flag Exercise

Prerequisites:

  • This is an advanced  Cybersecurity and Information Assurance Course which requires basic Windows & UNIX competency
  • Certification or 2 years of experience in these operating systems is highly recommended
  • An understanding of TCP/IP

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TechNow has been involved in enterprise client server architectures since 1990.  TechNow has delivered  national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations, 

TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies.  All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.

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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

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