In this course, administrators of medium-to-large network sites will learn to use advanced routing to provide scalability for Cisco routers that are connected to LANs and WANs. Networking professionals will learn to dramatically increase the number of routers and sites using these techniques instead of redesigning the network when additional sites or wiring configurations are added. Hands-on labs ensure you thoroughly understand how to implement advanced routing within your network.
Attendees to N-405: ROUTE-Implementing Cisco IP Routing will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
Planning Routing Services to Requirements
Implementing an EIGRP-Based Solution
Implementing a Scalable Multiarea Network
OSPF-Based Solution
Implement an IPv4- Based Redistribution Solution
Implementing Path Control Connection of an Enterprise Network to an ISP Network
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.
This course is extremely fast paced and for students that have already had UNIX or Linux training, or have not worked with Linux in several months or years. This is NOT a course for students new to Linux and assumes the student requires a refresher before progressing through high end security courses that require dexterity on Linux. RedHat and Ubuntu, VMware Virtual Machines, and BackTrack are used for the instruction of this course. The student will acquire the skills to easily navigate the advanced VMware training environment and will be able to create scripts to manipulate and manage Linux. The ulimate goals of the skills of this course is to provide the student the ability to automate through scripting BackTrack tools for offensive security, forensics, and defense.
Attendees to L-395: Accelerated Linux Administration and Utilities will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Day 1 and 2: Unix Review and Unix Utilities
Linux File System Archictecure and In-Depth discussion of Hard and Soft Links
Linux File, Directory, and Permissions Management
Linux archives using tar and zip
Interacting with BASH
Review of Common Linux commands
Sorting files by line or field
Regular Expressions (meta character) with grep commands to locate specific lines in files
Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
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)
Day 3 – Intro to Programming / Shell Scripting
Shell Review
Shell Interpretation of Quotes & Backslash
The Bash Shell
Shell's combined with UNIX utilities
Programming Basics
Data Constructs
Programming Looping
Your Environment
More on Parameters
Day 4 and 5 – Security Fundamentals, Linux Administration
System Configuration / Kernel overview
System Maintenance / Disk and file admin
Using utilities for process control, locating files & automating maintenance tasks
System Startup / Boot Process – LILO & GRUB Configuration
Managing the Linux file system
Customization of setup files
Run Levels
Network Services / Configuration
User Management Monitoring, accessing & restricting root system access
Administration Tools
Process Control
Client side components of NFS, Samba, NTP, NIS
Server side components such as DHCP, Samba, NIS, LDAP, inet, telnet, ftp, DNS, etc.
Prerequisites:
Prior UNIX/Linux experience or training
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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.
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.
