CL-218: Introduction to Cloud Infrastructure and Operations Bootcamp

 

Course Overview:

This bootcamp is a customized course for Cloud Essentials+ and Cloud+ that leverages 8 days to provide greater value than just the delivery of two separate courses. The 8 days of instruction prepare the student for the CCSP course.

TechNow has Identified overlap and uses time saved to:

  • Introduce hands-on skills (Open Source and AWS)
  • Go more in-depth on theory using hands-on to reinforce concepts
  • Do exam prep with practice questions

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.

This bootcamp helps prepare students for 2 certifications, CompTIA Clouds Essentials+ and CompTIA Cloud+.  After this course students will also be prepared to continue their education by taking CL-315: CCSP – Certified Cloud Security Professional Preparation Seminar .

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 Essentials+ and CompTIA Cloud+ curriculum.

Attendees to CL-218: Introduction to Cloud Infrastructure and Operations Bootcamp will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 8 days

Course Objectives:

  • Learn the fundamental concepts of cloud computing
  • Learn the business aspects and impacts of cloud computing
  • Differentiate the types of cloud solutions and the adoptions measures for each
  • Identify the technical challenges and the mitigation measures involved in cloud computing
  • Identify the technical challenges and the mitigation measures involved in cloud computing
  • Identify the steps to successfully adopt cloud services
  • Identify the basic concepts of ITIL and describe how the ITIL framework is useful in the implementation of cloud computing in an organization
  • Identify the possible risks involved in cloud computing and the risk mitigation measures, and you will also identify the potential cost considerations for the implementation of cloud and its strategic benefits
  • 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+ or equivalent experience
  • Managing or administering at least one of UNIX, Windows, Databases, networking, or security

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TN-413: Certified AI Program Manager (C|AIPM)

Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

 

 

TN-959: UNIX Security Administrator Course

Course Overview:

The  UNIX Security Administrator Prep is a hands-on course that covers how to secure and audit UNIX and Linux operating systems. This includes concepts such as Rootkits, Buffer overflows, and monitoring UNIX/Linux systems.

Attendees to TN-959: Unix Security Administratorwill receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • AIDE
  • Apache
  • Best Practices for Kernel Tuning and Warning Banners
  • Boot Services
  • Chroot()
  • DNS- BIND
  • DNSSec
  • Evidence Collection and Preservation
  • Forensic Analysis
  • Forensic Preparation and Incident Handling
  • Host Based Firewalls – iptables
  • Intro to Forensics
  • OS Install and Patching
  • Physical, User Account, and Password Access Control
  • Se Linux
  • Sendmail
  • SSH
  • Stack Smashing
  • Sudo
  • Syslog-NG
  • UNIX Logging

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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User: wbcarter

Instructor comments: Good Stuff. Thanks!

User: ryuhas

Instructor comments: Very Good Instructor

Facilities comments: Facilities was great. Location had a lot to be desired. To much traffic and accidents trying to get here.

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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.

AZ-900: Microsoft Azure Fundamentals

 

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
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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