CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration

Course Overview:

Through an introduction to Docker, Kubernetes, and Red Hat OpenShift Platform, this training course helps you understand one of the key tenets of the DevOps and DevSecOps Platform (DSOP) movement: continuous integration and continuous deployment. The CI/CD pipeline becomes well understood and implemented in an open architecture. Containers have become a key technology for the configuration and deployment of applications and micro services. Kubernetes is a container orchestration platform that provides foundational services in Red Hat OpenShift Container Platform, which allows enterprises to manage container deployments and scale their applications using Kubernetes.

This training course provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1). Workflows of the DoD Iron Bank container repository are introduced, along with an overview of the DoD Pipeline as represented in Big Bang. Continuous authorization cATO via Party Bus within NIST RMF is presented. You will become aware of the Platform One (P1) integrations and relationship to Docker, Kubernetes, Istio (Red Hat OpenShift Service Mesh) and Red Hat OpenShift Platform.

In addition to gaining an understanding of these tools, you will build core administration skills through the installation, configuration, and management of an OpenShift cluster and containerized applications.

Course Objectives:

Learn about Containers, Docker, Kubernetes, and OpenShift architecture
Overview DoD Enterprise DevSecOps Platform (DSOP) Reference Design and DoD Cloud Platform One (P1)
Tie together awareness of various DoD Cloud offerings and their relationships
Create containerized services
Manage containers and container images
Deploy multi-container applications
Install an OpenShift cluster
Configure and manage masters and nodes
Secure OpenShift
Control access to resources on OpenShift
Monitor and collect metrics on OpenShift
Deploy applications on OpenShift using source-to-image (S2I)
Manage storage on OpenShift

Course Outline:

Getting started with container technology
Creating containerized services
Managing containers
Managing container images
Creating custom container images
Deploying containerized applications on OpenShift
Deploying multi-container applications
Troubleshooting containerized applications
Comprehensive Review of Introduction to Container, Kubernetes, and RedHat OpenShift
Introducing Red Hat OpenShift Container Platform
Installing OpenShift Container Platform
Describing and exploring OpenShift networking concepts
Executing commands
Controlling access to OpenShift resources
Allocating persistent storage
Managing application deployments
Installing and configuring the metrics subsystem
Managing and monitoring OpenShift Container Platform

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

Ability to use a Linux® terminal session and issue operating system commands
Good foundation in Linux
Experience with web application architectures and their corresponding technologies

Target Audience:

Developers who wish to containerize software applications
Administrators who are new to container technology and container orchestration
Architects who are considering using container technologies in software architectures
System administrators
System architects
Architects and developers who want to install and configure OpenShift Container Platform
Those working in the field of DevSecOps supporting DoD Platform One (P1) and other implementations

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PM-242: Defining Agile Requirements with User Stories

Course Overview:

This course identifies how business analysts can elicit Agile requirements by writing user stories from use cases and personas of customer profiles. This leads to the processes of confirming the validity and usability for quality of the product development. An Agile Business Analyst has become a new recognized role within the other Agile Framework roles.

Attendees to PM-242:Defining Agile Requirements with User Stories will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objectives: At the conclusion of this course, students will be able to:

Understand the Scrum Flow, the core components of the Scrum framework
Understand the scope of the Product Owner role in detail
Understand the scope of the Agile Business Analysis role in coordination with the Product Owner, Scrum Master and Development Team
Understand the scope of the Scrum Master role at a high level
Understand the scope of the Scrum Development Team roles
Document the interactions between the user of a system and the system itself
Dive into understanding the Agile principles for requirements using user stories in a card, conversation, and confirmation format

Target Student:

Designed specifically for Agile project team members, product owners, project leaders and business analysts or anyone wanting to understand the Agile Framework.

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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.

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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!

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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-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)