CL-115: Red Hat OpenStack Administration I: Core Operations for Cloud Operators

 

Course Overview:

The focus of Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL110) will be managing OpenStack using both the web-based dashboard and the command-line interface, in addition to managing instances and installing a proof-of-concept environment using Red Hat OpenStack Platform (RHOSP) director. Essential skills covered in the course include configuring Red Hat OpenStack Platform (using the director UI); managing users, projects, flavors, roles, images, networking, and block storage; setting quotas; and configuring images at instantiation.

Attendees to CL-115 Red Hat OpenStack Administration I: Core Operations for Cloud Operators will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

This course is designed for Linux system administrators, cloud administrators, and cloud operators interested in, or responsible for, maintaining a private or hybrid cloud.

Prerequisites for this course is Red Hat Certified System Administrator (RHCSA) or demonstrate equivalent experience

Course Outline:

  • Launch an instance
  • Manage projects, quotas, and users
  • Manage networks, subnets, routers, and floating IP adresses
  • Create and manage block and object storage in the OpenStack framework
  • Customize instances with cloud-init
  • Deploy scalable stacks
  • Deploy RedHat OpenStack Platform using RHOSP director

 

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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:

No Events

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    TN-989: Advanced Penetration Testing, Exploits, and Ethical Hacking Course

    Course Overview:

    This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.

    A skills focus enables the student to better absorb the subject matter and perform successfully on the job.   This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics of the attacks and the effectiveness.

    Attendees to TN-989: Advanced Penetration Testing, Exploits, and Ethical Hacking course will receive TechNow approved course materials and expert instruction.

    Date/Locations:

    No Events

    Course Duration: 5 days

    Course Objectives:

    • Accessing the Network
    • Advanced Fuzzing Techniques
    • Advanced Stack Smashing
    • Attacking the Windows Domain – Enumeration
    • Attacking the Windows Domain – Restricted Desktops
    • Attacking the Windows Domain – The Attacks
    • Building a Metasploit Module
    • Crypto for Penetration Testers
    • Exploiting the Network
    • Fuzzing Introduction and Operation
    • Introduction to Memory and Dynamic Linux Memory
    • Introduction to Windows Exploitation
    • Manipulating the Network
    • Python and Scapy For Penetration Testers
    • Shellcode
    • Smashing the Stack
    • Windows Heap Overflow Introduction
    • Windows Overflows

    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

    Comments

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    User: ryanv

    Instructor comments: Great.

    Facilities comments: N/A. Hotel.

    User: sean.hollinger

    Instructor comments: Instructor is technically knowledgeable as he has been on every course I've taken with TechNow.

    Facilities comments: adequate

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