CT-213: Cloud Essentials+

 

Course Overview:

CompTIA Cloud Essentials+ is for both IT and non-technical professionals who require the essential business acumen needed to make informed cloud service decisions.  Cloud Essentials is a vendor-neutral credential designed to validate the candidate has an understanding of basic terms and definitions of cloud computing along with the different processes involved in the successful adoption of cloud computing and its implications for organizations’ use.

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

Attendees to CT-213: Cloud Essentials+ will receive TechNow approved course materials and expert instruction.

Date/Locations:

Date/Time Event
06/15/2026 - 06/17/2026
08:00 -16:00 		CT-213: Cloud Essentials+
TechNow, Inc, San Antonio TX
10/13/2026 - 10/15/2026
08:00 -16:00 		CT-213: Cloud Essentials+
TechNow, Inc, San Antonio TX

Course Duration: 3 days

Course Objectives:

  • Domain 1 : Cloud Concepts
    • Understand cloud principles
    • Identify cloud networking concepts & storage techniques
    • Understand cloud design aspects
  • Domain 2: Business Principles of Cloud Environments
    • Identify and employ appropriate cloud assessments like feasibility studies, benchmarking, or gap analysis
    • Highlight key business aspects of cloud vendor relation adoption, and comprehend cloud migration approaches
  • Domain 3: Management and Technical Operations
    • Explain aspects of operating within the cloud, such as data management or optimization
    • Understand the role of DevOps in cloud environments, like API integration or provisioning
  • Domain 4: Governance, Risk, Compliance and Security for the Cloud
    • Understand risk management and response concepts related to cloud services and identify the importance and impacts of compliance in the cloud, such as regulatory concerns or international standards.

 

Course Prerequisites:

  • CompTIA recommends that a candidate have at least 6 months of experience in an IT environment, with direct involvement in IT-related tasks responsibilities and/or decision making.

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Observations of Instructor Led Training with Real Hardware

TechNow has heard many students talk about virtualized/remote training that TechNow Does Not Do.  While training our most recent offering of PA-215: Palo Alto Networks Firewall Essentials FastTrack a student told his story of how he endend up in our course.  His story we have heard for other technologies like Cisco, VMware, BlueCoat and other products.

A large percentage of training is moving to the virtualized/remote lab environments.  Students are asked to use some variant of remote access software and remote into the training company's lab environment. Our student in our Palo Alto Networks Firewall course informed us that he went to a very costly offering of that course from the vendor and was not able to perform any labs.  There were either network connectivity issues, or issues with the remote access software, or other problems.  The whole training experience was very frustrating and not productive.

We keep our labs open to students if they would like after hours, or before hours access.  Repeatedly going through a lab engrains that knowledge for later recall.  Touching hardware is so critical in understanding the problems that arise when a cable comes loose, or a cable gets plugged in the wrong port.  There are other scenarios such as just pulling the power cable, or turning off a power strip, or accidently overwriting a configuration.  These disaster scenarious requires hands-on physical access to hardware.  Preventing and recovering from disasters is what it's all about, and that requires hands-on, instructor led, real hardware.

Virtualization/Cloud

TechNow has been involved in enterprise client server architectures since 1990.  TechNow has delivered  national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations, 

TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies.  All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.

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TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

 

Course Outline: 

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics 

 

Prerequisites: 

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

 

Dates/Locations:

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