Course Overview:

This comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.

Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • The Current State of the Telecom Industry
  • Telecom Service Providers
  • Digitalizing Voice
  • Communication Mediums and Multiplexing
  • Carrier Access: Customer-to-Carrier Connections
  • Broadband Access
  • Enterprise Networks
  • Carrier Transport Services
  • Data Communications and Packet-Switched Networks
  • Migrating Voice from Circuit-to-Packet-Switched Networks
  • Carrier Data Services
  • Ethernet Services
  • Remote Access Virtual Private Networks (VPNs)
  • Video Technology and Services
  • Current Mobile Wireless Services
  • Fixed Mobile Convergence (FMC)
  • Worldwide Interoperability for Microwave Access (WiMax)
  • Multimedia Subsystem (IMS)

Prerequisites:

  • None

 

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TechNow has heard many students talk about virtualized/remote training that TechNow Does Not Do.  While training our most recent offering of PA-215: Palo Alto Networks Firewall Essentials FastTrack a student told his story of how he endend up in our course.  His story we have heard for other technologies like Cisco, VMware, BlueCoat and other products.

A large percentage of training is moving to the virtualized/remote lab environments.  Students are asked to use some variant of remote access software and remote into the training company's lab environment. Our student in our Palo Alto Networks Firewall course informed us that he went to a very costly offering of that course from the vendor and was not able to perform any labs.  There were either network connectivity issues, or issues with the remote access software, or other problems.  The whole training experience was very frustrating and not productive.

We keep our labs open to students if they would like after hours, or before hours access.  Repeatedly going through a lab engrains that knowledge for later recall.  Touching hardware is so critical in understanding the problems that arise when a cable comes loose, or a cable gets plugged in the wrong port.  There are other scenarios such as just pulling the power cable, or turning off a power strip, or accidently overwriting a configuration.  These disaster scenarious requires hands-on physical access to hardware.  Preventing and recovering from disasters is what it's all about, and that requires hands-on, instructor led, real hardware.

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)

 

 

 

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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Course Overview:

This course will be fast paced with in-depth and live demonstrations.

Date/Locations:

No Events

Duration: 1 day

Course Objectives:

  • AIDE
  • DNS Security with DNSsec
  • Logging and Audit Management
  • Linux Security Modules and SE-Linux
  • Linus Containers (Jailing Services and Apps)
  • SSH and SSL tunneling

Prerequisites:

 

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