VM-345: VMware Infrastructure Security: VMware Install, Configure, and Manage with Security Objectives

 

Course Overview:

This course explores the VMware Infrastructure and related security, which consists of VMware ESX Server & VMware Virtual Center Server. We will look at both the design environments and operational processes of the VMware Infrastructure including security. This course provides IT architects with the insight needed to tackle tough issues in server virtualization such as virtual machine technologies, storage infrastructure, and designing clustered environments with security practices included. Extensive hands-on labs provide for a rich student experience.

Hypervisors and their supporting environment require attention to security due to the aggregated risk of hosting multiple virtual servers. This course explores the security of virtualized environments. Student configure ESXi by learning to manage the security and risk between ESXi, virtual servers and security integration of ESXi to the physical network infrastructure including appropriate segregation from other sensitive networks and management networks. How to configure virtual networks when some hosts are dual or multi homed, but internally segregate between the two or more connected networks with different security levels. Appropriate integration of zero-clients and thin clients. Configuration of defensive measures on hosts, servers, hypervisors within the virtual environment and practices for those guarding it externally. Integration of Active Directory and other AAA/CIA related services relative to a virtualized environment.

Students are also walked through DoD ESXi Security Technical Implementation Guide (STIG). Introduction to the impact of Intel Trusted Execution Technology integrated with ESXi to create a trusted platform for virtual machines. Additionally the instructor walks the students through NIST Special Publication 800-125A: Security Recommendations for Hypervisor Deployment on Servers, and NIST Special Publication 800-125B: Secure Virtual Network Configuration for Virtual Machine (VM) Protection.

Attendees to “VM-345: VMware Infrastructure Security: VMware Install, Configure, and Manage with Security Objectives” will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

• Virtual Infrastructure Overview
• ESX and ESXi Server Installation
• Configuration of Networking, Scalability and Security
• Storage
• Install and Configure vCenter Server and Components
• Creation, Deployment, Management, and Migration of Virtual Machines
• Utilize vCenter Server for Resource Management
• Utilize vCenter Server for Virtual Machine Access Control and User Managment
• Use vCenter Server to increase scalability
• Monitoring Your Environment
• Data & Availability Protection Troubleshooting
• Use VMware vCenter Update Manager to apply ESXi patches
• Use vCenter Server to manage vMotion, HA, DRS and data protection.

CT-415: CompTIA SecAI+

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.

TN-535: Certified Forensic Computer Examiner (CFCE)

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

CT-215: Cloud+

 

Course Overview:

This course covers the knowledge and skills required to understand standard Cloud terminologies/methodologies, to implement, maintain, and deliver cloud technologies and infrastructures (e.g. server, network, storage, and virtualization technologies), and to understand aspects of IT security and use of industry best practices related to cloud implementations and the application of virtualization.

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.

TechNow is a CompTIA partner and uses official CompTIA Cloud+ curriculum.

Attendees to CT-215: Cloud+ will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time Event
07/27/2026 - 07/31/2026
08:00 -16:00 		CT-215: Cloud+
TechNow, Inc, San Antonio TX
10/19/2026 - 10/23/2026
08:00 -16:00 		CT-215: Cloud+
TechNow, Inc, San Antonio TX

Course Duration: 5 days

Course Objectives:

  • Prepare to deploy cloud solutions
  • Deploy a pilot project
  • Test a pilot project deployment
  • Design a secure network for cloud deployment
  • Determine CPU and memory sizing for cloud deployments
  • Plan Identity and Access Management for cloud deployments
  • Analyze workload characteristics to ensure successful migration to the cloud
  • Secure systems to meet access requirements
  • Maintain cloud systems
  • Implement backup, restore, and business continuity measures
  • Analyze cloud systems for required performance
  • Analyze cloud systems for anomalies and growth forecasting
  • Troubleshoot deployment, capacity, automation, and orchestration issues
  • Troubleshoot connectivity issues
  • Troubleshoot security issues

Course Prerequisites:

  • Security+, Network+, CASP or equivalent experience
  • Managing or administering at least one of UNIX, Windows, Databases, networking, or security

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TN-412: Artificial Intelligence Essentials (AI|E)

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