Course Overview:

This two-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.

NOTE: This course provides an Azure pass and time for you to participate in hands-on labs. The content for this course aligns to AZ-900 exam objective domain

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-900: Microsoft Azure Fundamentals will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time Event
04/07/2026 - 04/08/2026
08:00 -16:00
AZ-900: Microsoft Azure Fundamentals
TechNow, Inc, San Antonio TX
08/03/2026 - 08/04/2026
08:00 -16:00
AZ-900: Microsoft Azure Fundamentals
TechNow, Inc, San Antonio TX
11/09/2026 - 11/10/2026
08:00 -16:00
AZ-900: Microsoft Azure Fundamentals
TechNow, Inc, San Antonio TX

Course Duration: 3 days

Course Outline:

  • Cloud Concepts
  • Core Azure Services
  • Security, Privacy, Compliance, And Trust
  • Azure Pricing and Support

Lab Objectives:

    • Create a virtual machine
    • Deploy Azure container instances
    • Create a virtual network
    • Create blob storage
    • Create a SQL database
    • Implement an Azure IoT Hub
    • Implement Azure Functions
    • Create a web app
    • Create a VM with a Template
    • Create a VM with PowerShell
    • Create a VM with CLI
    • Secure network traffic
    • Implement Azure key vault
    • Create an Azure Policy
    • Manage access with RBAC
    • Manage resource locks
    • Implement resource tagging
    • Exploring the Trust Center
    • Use the Azure Pricing Calculator
    • Use the Azure TCO Calculator
    • Open a Support request
    • Calculate composite SLAs
    • Access Azure Preview features

Prerequisites :

      • There are no prerequisites for taking this course. Technical IT experience is not required however some general IT knowledge or experience would be beneficial.
      • This course is suitable for IT personnel who are just beginning to work with Azure.
      • This course primarily uses the Azure portal to create services and does not require scripting skills.
      • Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator.
      • This course provides an Azure pass and optional lab environment.

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Course Overview:

This is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.

Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Information Security and Open Source Software
  • Operating System Tools
  • Firewalls
  • Scanners
  • Vulnerability Scanners
  • Network Sniffers
  • Intrusion Detection Systems
  • Analysis and Management Tools
  • Encryption Tools
  • Wireless Tools
  • Forensic Tools
  • More on Open Source Software

Prerequisites:

  • Experience in IT Security
  • Solid basic knowledge of networks and TCP/IP
  • Experience in command line under Linux and Windows is required

 

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Course Overview:

This course, TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs), covers the two main objectives for those entering the wireless world, understanding the technology & addressing its security.  TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) takes advantage of the student’s existing expertise to provide a challenging introductory course. Covering a broad range of wireless networking topics & an introduction on how to secure a wireless LAN from hackers. To insure wireless availability you need to understand proper design choices & administration practices. To protect valuable information on your network you need to know how attacks occur & techniques used to secure your wireless network.

Attendees to TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Radio Frequency (RF) Fundamentals
  • Spread Spectrum Technologies
  • 802.11 Network Architecture
  • Physical & MAC Layers
  • Hardware Installation, Configuration, & Management
  • Antennas & Accessories
  • Wireless Network Management
  • Troubleshooting Wireless LANs
  • Site Surveying
  • Wireless LAN Security
  • Organizations & Standards

Prerequisites:

Attendees should have network administration skills.  These skills can be obtained through TechNow’s N-205N-305: CCNA/ICND Training program or our highly respected cross platform TN-385: TCP/IP Analysis & Implementation course.

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User: TMPRIESTLEY

Instructor comments: The instructor was very well versed on the topic and knew how to apply it to real-life examples. He led the labs and was very excited about the topic which kept the interest of myself and other class members. Sometimes his volume level was a little high- however the room the class was in was very small. Too small for a big personality!

Facilities comments: I was unaware of the facility changes, but that was at no fault of anyone since I was a drop-in for the course. They were very helpful and quick to mediate the issue.


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Course Overview:

In this course, you will gain the knowledge and skills needed to configure, maintain, and operate Cisco ASA 5500 Series Adaptive Security Appliance.

Attendees to N-455: Securing Networks with ASA Fundamentals (SNAF) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Introducing Cisco Security Appliance Technology and Features
  • Cisco Adaptive Security Appliance and PIX Security Appliance Families
  • Getting Started with Cisco Security Appliances
  • Essential Security Appliance Configuration
  • Configuring Translations and Connection Limits
  • Using ACLS and Content Filtering
  • Configuring Object Grouping
  • Switching and Routing on Security Appliances
  • Configuring AAA for Cut-Through Proxy
  • Configuring the Cisco Modular Policy Framework
  • Configuring Advanced Protocol Handling
  • Configuring Threat Detection
  • Configuring Site-to-Site VPNS Using PreShared Keys
  • Configuring Security Appliance Remote Access VPNs
  • Configuring Cisco Security Appliance for SSL VPN
  • Configuring Transparent Firewalls Mode
  • Configuring Security Contexts
  • Configuring Failover
  • Managing Security Appliances

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.