Course Overview:

The Implementing Cisco Enterprise Wireless Networks (ENWLSI) course gives you the knowledge and skills needed to create a secure wireless network infrastructure and troubleshoot any related issues. You’ll learn how to implement and fortify a wireless network infrastructure using Cisco Identity Service Engine (ISE), Cisco Prime Infrastructure (PI), and Cisco Connect Mobile Experience to monitor and troubleshoot network issues.

Attendees to N-515: Implementing Cisco Enterprise Wireless Network (ENWLSI) will receive TechNow approved course materials, expert instruction, and prepare you to take the 300-430 Implementing Cisco Enterprise Wireless Networks (ENWLSI) exam, which is part of the CCNP® Enterprise certification and the Cisco Certified Specialist – Enterprise Wireless Implementation certification.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Implement network settings to provide a secure wireless network infrastructure
  • Implement a secure wireless client and troubleshoot wireless client connectivity issues
  • Implement and troubleshoot QoS in wireless networks
  • Implement and troubleshoot advanced capabilities in wireless network services

Prerequisites:

 

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Course Overview:  PA-242: Palo Alto Networks Firewall Manage Cyberthreats (EDU-231) Training Class is a two-day course that teaches students strategies in defense against cyberthreats.  Successful completion of this course enables administrators to better understand the threat landscape.  This is not a virtualized theoretical course.  This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk.  Real hardware per student for real experience and real skill development.  TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.

The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies.  Additionally, the instructor has taught several security appliance products and carries several SANS, ISC2, ISACA, Cisco, Unix, and Windows certifications.

Attendees to the PA-242: Palo Alto Networks Firewall Manaage Cyberthreats  (EDU-231) Training Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 days

Course Objectives:   Students attending this training course will gain an understanding of cyberthreats and their characteristics.  Students will learn how to manage cyberthreats using security policies, profiles, and signatures to protect their network against emerging threats.

Day 1

  • Mod 1: Threat Landscape
    • Advanced Persistent
    • Threats
    • Data Breaches and Tactics
    • Threat Management
    • Strategies
  • Mod 2: Integrated
    • Approach to Threat
    • Protection
    • Integrated Approach to
    • Protection
    • Next-Generation Firewall
    • Advanced Endpoint
    • Protection
  • Mod 3: Network Visibility
    • Zero Trust Model
    • SSL Decryption
    • Decryption Policy
  • Mod 4: Reducing the Attack
    • Surf
    • ection

 

Day 2

  • Mod 5: Handling Known
    • Threats
    • WildFire Analysis
    • Security Profiles
  • Mod 6: Handling Unknown
    • Traffic and Zero-Day Exploits
    • WildFire
    • Researching Threat Events
    • Identifying Unknown
    • Applications
  • Mod 7: Investigating
    • Breaches
    • Identify IOCs Using
    • App-Scope
    • Log Correlation
    • Finding Infected Host
  • Mod 8: Using Custom
    • Signatures
    • Creating Custom App-IDs
    • Threat Signatures

A

Prerequisites:

  • Students must complete the PA-213: Install, Configure, and Manage course
  • Understanding of network concepts, including routing, switching, and IP addressing
  • In-depth knowledge of port-based security and security technologies such as IPS, proxy, and content filtering

This course is in no way associated with Palo Alto Networks, Inc.

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Course Overview:

The focus of this course is managing Red Hat OpenStack Platform using the unified command-line interface, managing instances, and maintaining an enterprise deployment of OpenStack. This course also teaches the management and customization of an enterprise deployment of OpenStack (overcloud) and how to manage compute nodes with Red Hat OpenStack Platform director (undercloud).

Attendees to CL-345: Red Hat OpenStack Administration II will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects interested in, or responsible for, maintaining a private or hybrid cloud.

Prerequisites for this course is Red Hat Certified System Administrator (RHCSA), or demonstrate equivalent experience.

Attend Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL115), or demonstrate equivalent experience

Course Outline:

  • Navigate the Red Hat OpenStack Platform architecture
  • Describe the OpenStack control plane
  • Integrate Identity Management
  • Perform image operations
  • Manage storage
  • Manage OpenStack networking
  • Manage compute resources
  • Automate could applications
  • Troubleshoot OpenStack operations
  • Comprehensive review

 

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Course Overview:

This course will be fast paced with in-depth and live demonstrations.

Date/Locations:

No Events

Duration: 1 day

Course Objectives:

  • AIDE
  • DNS Security with DNSsec
  • Logging and Audit Management
  • Linux Security Modules and SE-Linux
  • Linus Containers (Jailing Services and Apps)
  • SSH and SSL tunneling

Prerequisites:

 

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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.