Cloud Native Edge and IoT Foundation

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3 Days

Available On-Site

Available Virtually

Open Enrollments Available
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Customizable

This three-day hands-on course provides network engineers, developers, IT and other technical staff with an in-depth introduction to the next generation technologies integrating the Internet of Things (IoT), edge computing and cloud native systems. The course provides a combination of theory and practical applications through lectures and extensive hands-on labs working with systems, software, and devices.

Attendees will explore foundational IoT concepts such as microcontrollers, radios, networks, and sensors with a range of discussions and experiments designed to deepen understanding and provide practical experience. Programmable networking equipment and containerized application deployment and operation at the edge are also covered. Kubernetes is introduced as the target orchestration system for these next-generation environments, explored throughout the course using a range of edge system orchestration tie ins.

By the conclusion of the course, attendees will have a broad, yet practical understanding of cloud native systems and their application in edge computing and IoT.

Who Should Attend

Network engineers, developers, DevOps/SRE/RE/IT staff and technical managers

AWS Essentials (3 Days)

Azure Foundation (2 Days)

Cloud+AI/ML (1 Day)

IPv6 Foundation (2 Days)

Delivery

Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery.

Each attendee will require the ability to ssh into a cloud hosted virtual machine (provided with the course). In environments where SSH is not possible, local lab VMs or browser accessible lab systems can be provided. For web-based delivery, participants require an Internet-connected computer capable of teleconferencing.

Related Instructor-Led (ILT & VILT) Training Courses

If you are interested in other Cloud Native, AI, programming, or other courses, check out the full course list or search our entire catalog:

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