List of all the courses offered by Spectrum Networks.
Spectrum Networks offers a total of 31 courses.
This course provides learners with a broad overview of Dynamics 365 applications. We will introduce you each of the applications, articulate their business value, and discuss and demo core functionality.
This course provides IT leaders, practitioners, support staff and staff interfacing with the organization’s digital and information systems functions with a practical understanding of the key concepts, common language, principles and practices.
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.
Learn how to gather information from API documentation and perform HTTP operations in an ASP.NET Core Razor Pages web app.
This course examines the key elements of Microsoft 365 messaging administration, including message transport and mail flow, messaging security, hygiene, and compliance, messaging infrastructure, and hybrid messaging.
This is an advanced, expert-level course. Although not required to attend, students are strongly encouraged to have taken and passed another associate level certification in the security, compliance and identity portfolio (such as AZ-500, SC-200 or SC-300) before attending this class.
Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform.
Big Data on AWS (Amazon Web Services) introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive.
Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning (DL) solutions on Amazon Web Services (AWS). The training will detail how deep learning is useful and explain its different concepts.
DevOps Engineering on Amazon Web Services AWS demonstrates how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS.
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