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
The mark of excellence for a professional certification program is the value and recognition it bestows on the individual who achieves it. The technical skills & practices the CISA promotes and evaluates are the building blocks of success in the field. Possessing the CISA designation demonstrates proficiency and is the basis for measurement in the profession. With a growing demand for professionals possessing IS audit, control and security skills, CISA has become a preferred certification program by individuals and organizations around the world. CISA certification signifies commitment to serving an organization and the IS audit, control and security industry with distinction. This course will help the student prepare to obtain this credential.
Attendees to TN-822: Certified Information Systmes Auditor (CISA) Seminar will receive TechNow approved course materials and expert instruction.
Providing industry-standard audit services to assist organizations in protecting and controlling information systems, Domain-1 affirms your credibility to offer conclusions on the state of an organization’s IS/IT security, risk and control solutions.
Governance & Management of IT (18%)
This domain confirms to stakeholders your abilities to identify critical issues and recommend enterprise-specific practices to support and safeguard the governance of information and related technologies.
Information Systems Acquisition, Development & Implementation (12%)
Domains 3 and 4 offer proof not only of your competency in IT controls, but also your understanding of how IT relates to business.
Information Systems Operation & Business Resilience (26%)
Domains 3 and 4 offer proof not only of your competency in IT controls, but also your understanding of how IT relates to business.s.
Protection of Information Assets (26%)
Cybersecurity now touches virtually every information systems role, and understanding its principles, best practices and pitfalls is a major focus within Domain 5.
Prerequisites:
A minimum of five years of professional information systems auditing, control & security work experienced is required. Experience must have been gained within the 10-year period preceding the application date for certification, or within five years from the date of initially passing the examination.
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User: fsarisen
Instructor comments: Thank you Tim for all the great information! I am confident that I'll do well on the ICND exam.
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Instructor comments: The instructor, Tim Burkard, was very knowledgeable on the course material and skilled at explain more complex ideas.
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
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