CL-345: Red Hat OpenStack Administration II

 

Course Overview:

The focus of this course is managing Red Hat OpenStack Platform using the unified command-line interface, managing instances, and maintaining an enterprise deployment of OpenStack. This course also teaches the management and customization of an enterprise deployment of OpenStack (overcloud) and how to manage compute nodes with Red Hat OpenStack Platform director (undercloud).

Attendees to CL-345: Red Hat OpenStack Administration II will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects 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.

Attend Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL115), or demonstrate equivalent experience

Course Outline:

  • Navigate the Red Hat OpenStack Platform architecture
  • Describe the OpenStack control plane
  • Integrate Identity Management
  • Perform image operations
  • Manage storage
  • Manage OpenStack networking
  • Manage compute resources
  • Automate could applications
  • Troubleshoot OpenStack operations
  • Comprehensive review

 

Comments

Latest comments from students

 

Liked the class?  Then let everyone know!

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

Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events

TN-835: Certified in Risk and Information Systems Control (CRISC) Preparation Seminar

Course Overview:

Certified in Risk and Information Systems Control (CRISC), is for professionals responsible for an organization's risk management program.  Students looking to acquire CRISC qualify themselves as IT security analyst, security engineer architect, information assurance program manager and senior IT auditor.  CRISC certified professionals manage risk, design and oversee response measures, monitor systems for risk, and ensure the organization's risk management strategies are met.

The CRISC exam will primarily align with the terminology and concepts described in The Risk IT Framework, The Risk IT Practioner Guide, and COBIT 5.  This will include applications in the evaluation and monitoring of IT-based risk, as well as the design and implementation of IS controls. 

The CRISC exam covers four domains that are periodically updated to reflect the changing needs of the profession:

  • Domain 1: Risk Identification 
  • Domain 2: Risk Assessment
  • Domain 3: Risk Response and Mitigation
  • Domain 4: Risk and Control Monitoring and Reporting

This course is designed to assist in your exam preparation for the CRISC exam.

Attendees to TN-835: Certified in Risk and Information Systems Control (CRISC) Seminar will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Risk IT Framework—Purpose and Principles
  • Essentials of Risk Governance, Evaluation, and Response
  • Risk and Opportunity Management Using CobiT, Val IT and Risk IT
  • The Risk IT Framework Process Model Overview
  • Managing Risk in Practice—The Practitioner Guide Overview
  • Overview of the Risk IT Framework Process Model 
  • The Risk IT Framework

Prerequisites:

A minimum of at least three (3) years of cumulative work experience performing the tasks of a CRISC professional across at least three (3) CRISC domains is required for certification. There are no substitutions or experience waivers.

Comments

Latest comments from students

User: tracycampbell

Instructor comments: Dave had great command of the class and the flow of information. The lessons seem relevant to the exam and the course material should assist greatly with passing. As a bonus, his breakdown of PKI helped with my current job requirements.

Facilities comments: The Home2Suites by Hilton was FANTASTIC!

Liked the class?  Then let everyone know!

TN-395: Internet Protocol Version 6 (IPv6)

Course Overview:

In this course, students learn the IPv6 protocols & processes & describe how IPv6 is supported in the latest versions of Microsoft Windows operating system.  Students will also learn how to describe transition technologies that allow you to deploy IPv6 in IPv4 intranets & across the IPv4 Internet.

Attendees to TN-395: Internet Protocol Version 6 (IPv6) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Learn how to create IPv6 networks with Cisco Systems products
  • Supplement your IPv6 course with a self-study guide based on the course materials
  • Understand practical applications of IPv6 through a solutions-oriented writing approach
  • Increase comprehension & retention through chapter tools like objectives, summaries, scenarios & review questions
  • Features & benefits of IPv6
  • IPv6 in the Windows Server2003 Family
  • IPv6 addressing & the IPv6 header
  • Internet Control Message Protocol for IPv6 (ICMPv6)
  • Neighbor & multicast listener discovery
  • Address auto configuration
  • IPv6 name resolution & routing
  • Coexistence & migration
  • IPv6 mobility

Prerequisites:

  • Students should have a working knowledge of a Windows OR Unix Operating system. 
  • In addition, the student should also have basic end-user skills in TCP/IP.

 

Comments

Latest comments from students

Liked the class?  Then let everyone know!

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-412: Artificial Intelligence Essentials (AI|E)