Course Overview:

Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.  TechNow’s  Ansible course facilitates the dynamic IT infrastructure through automation.

This course also supports DevOps practices through Ansible playbooks automating workflows.  TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.

This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • An introduction to Ansible
  • Install and configure Ansible development tools in VS Code and configure Ansible setting
  • Create and update inventories of managed hosts and manage connections to them
  • Automate administration tasks with Ansible Playbooks
  • Write effective playbooks at scale
  • Protect sensitive data used by Ansible Automation Platform with Ansible Vault
  • Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
  • Developing Automation Content: Variables, Task Control, Deploying Files
  • Developing Automation Content at Scale
  • Reusing Code with Ansible Roles and Content Collections
  • Automate Linux Administration Tasks

Prerequisites:

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Course Overview:

This is a hands-on course that covers many of the concepts of securing the perimeter of an organization. This includes concepts such as intrusion detection, packet filtering, and central logging.

A skills focus enables the student to better absorb the subject matter and perform better on the job.   This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of Firewalls.

This course is an excellent precursor to PA-215 Palo Alto Firewall Essentials FastTrack.

Attendees to TN-949: Certified Firewall Analyst Prep will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Analyzing Network and Wireless Design
  • Creating and Auditing a Rulebase
  • Firewall Assessment and Penetration Testing
  • Host-Based Detection and DLP
  • Incident Detection and Analysis
  • IOS and Router Security
  • IPv6 and ICMPv6
  • Log Collection and Analysis
  • NAT and Proxies
  • Netfilter IPtables
  • Network Access Control
  • Network-Based Intrusion Detection
  • Packet Filters and Inspection
  • Packet Fragmentation
  • Perimeter Concepts and IP Fundamentals
  • Securing Hosts and Services
  • TCP/IP Protocols
  • VPN Design and Auditing
  • VPN Implementation

Course Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, networking and security  experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

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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:

Gain the knowledge and skills needed to implement security controls, maintain the security posture, and identify and remediate vulnerabilities by using a variety of security tools. The course covers scripting and automation, virtualization, and cloud N-tier architecture.

After completing this course, students will be able to describe specialized data classifications on Azure, Identify Azure data protection mechanisms, Implement Azure data encryption methods, Secure internet protocols and how to implement them on Azure, Describe Azure security services and features.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to AZ-500: Microsoft Azure Security Technologies will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Outline:

  • Identity and access
    • Configure Azure Active Directory for Azure workloads and subscriptions
    • Configure Azure AD Privileged Identity Management
    • Configure security for an Azure subscription
  • Platform Protection
    • Understand cloud security
    • Build a network
    • Secure network
    • Implement host security
    • Implement platform security
    • Implement subscription security
  • Security Operations
    • Configure security services
    • Configure security policies by using Azure Security Center
    • Manage security alerts
    • Respond to and remediate security issues
    • Create security baselines
  • Data and Applications
    • Configure security policies to manage data
    • Configure security for data infrastructure
    • Configure encryption for data at rest
    • Understand application security
    • Implement security for application lifecycle
    • Secure applications
    • Configure and manage Azure Key Vault

Prerequisites :

      • AZ-900: Microsoft Azure Fundamentals
      • Students should have 1-2 years professional development experience and experience with Microsoft Azure.
      • Student must be able to program in an Azure Supported Language.

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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.