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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TechNow provides a wide variety of skills based computer training and testing.  With our Headquarters in San Antonio, TX, we have provided services including computer training around the United States to many individuals and corporations.

Our products and services are designed for those who are seeking to expand their knowledge base, whether with one class or a series of classes to gain certification in specific areas of training.

Our talented and knowledgeable instructors enjoy teaching and sharing their skills; allowing you to expand and learn essential computer skills.

 

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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: 

AIE

 

Dates/Locations:

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