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)

 

 

RH-305:Red Hat System Administration III: Linux Automation with Ansible

Course Overview:

Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.  TechNow’s  Ansible course facilitates the dynamic IT infrastructure through automation.

This course also supports DevOps practices through Ansible playbooks automating workflows.  TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.

This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • An introduction to Ansible
  • Install and configure Ansible development tools in VS Code and configure Ansible setting
  • Create and update inventories of managed hosts and manage connections to them
  • Automate administration tasks with Ansible Playbooks
  • Write effective playbooks at scale
  • Protect sensitive data used by Ansible Automation Platform with Ansible Vault
  • Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
  • Developing Automation Content: Variables, Task Control, Deploying Files
  • Developing Automation Content at Scale
  • Reusing Code with Ansible Roles and Content Collections
  • Automate Linux Administration Tasks

Prerequisites:

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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

 

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P-245: Programming with PERL

 

Course Overview:

This course teaches students how to use the powerful PERL programming language, focusing on hands-on labs to promote retention & challenge students to apply their skills to new situations. PERL is a flexible, easy to use language suitable for many tasks such as system administration, web applications & database integration. System administrators, web programmers & database administrators will benefit from mastering this powerful programming language. This course reviews & builds on the information presented in PL-115: Fundamentals of Computer Programming.

Attendees to P-245: Programming with PERL will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Introduction
  • Scalar Data
  • Lists & Arrays
  • Subroutines
  • Input & Output
  • Hashes
  • In the World of Regular Expressions
  • Matching with Regular Expressions
  • Processing Text with Regular Expressions
  • More Control Structures
  • File Tests
  • Directory Operations
  • Strings & Sorting
  • Process Management
  • PERL Modules
  • Some Advanced PERL Techniques

Prerequisites:

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