EdX

Business Considerations for Edge Computing (edX)

Business Considerations for Edge Computing (edX)

Edge Computing utilizes real-time processing and data analysis at the edge of the network - nearest the device or user - in order to enable digital transformation and power new technologies. From cars that drive themselves to robots that restock the warehouse and sensors that know when it’s time to water or fertilize crops, our world is changing right before our eyes. This is digital transformation and it includes the convergence of 5G, IoT, AI, machine learning and the Edge.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Edge Computing is part of the decentralized model of computing that focuses on real-time processing and analysis of data near the edge of the network, or nearest the device or user. It is considered the most significant enterprise trend since Cloud Computing.
In this course you will learn about what Edge Computing is, what problems it’s solving and how it is supporting the rise of 5G, AI and IoT. We’ll review the data privacy and security considerations and share examples of where we see business innovation with Edge. We’ll also review the influencers and open source projects that are defining the future of Edge and the hybrid computing world.

What you'll learn

  • What Edge Computing is and what is driving its adoption
  • How Edge Computing enables the digital business transformation and 5G
  • What are the data and privacy considerations for deploying Edge Computing networks
  • Understand what Edge Computing makes possible in business
  • Know the influencers and open source projects that are defining the future of Edge and the distributed computing world

Syllabus

  • Welcome
  • Ch1. Edge Computing Overview

-Ch 2. How 5G is Driving Edge Adoption

  • Ch 3. Edge Privacy and Security
  • Ch 4. Edge in the Wild: Use Cases
  • Ch 5. Influencers and Open Source Projects
  • Final Exam (Verified Track only)
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Statistical Thinking for Data Science and Analytics (edX) EdX
Columbia University,ColumbiaX

Statistical Thinking for Data Science and Analytics (edX)

Learn how statistics plays a central role in the data science approach. This statistics and data analysis course will pave the statistical foundation for our discussion on data science. You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.

Self Paced
Self-Paced
CS50's Introduction to Computer Science (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Computer Science (edX)

An introduction to the intellectual enterprises of computer science and the art of programming. This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50 teaches students how to think algorithmically and solve problems efficiently.

Self Paced
Self-Paced
Data Analysis: Statistical Modeling and Computation in Applications (edX) EdX
MIT,MITx

Data Analysis: Statistical Modeling and Computation in Applications (edX)

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication skills. In this course, learners will combine these foundational and practical skills with domain knowledge to ask and answer questions using real data.

May 13th 2024
13-24 Weeks
Introduction to Cloud Computing (edX) EdX
IBM

Introduction to Cloud Computing (edX)

Master the core concepts in Cloud Computing, from service and deployment models, to cloud architecture, security, new technologies, and possible careers. This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.

Self Paced
Self-Paced
Introduction to Applied Biostatistics: Statistics for Medical Research (edX) EdX
Osaka University

Introduction to Applied Biostatistics: Statistics for Medical Research (edX)

Learn data analysis for medical research with practical hands-on examples using R Commander. Want to learn how to analyze real-world medical data, but unsure where to begin? This Applied Biostatistics course provides an introduction to important topics in medical statistical concepts and reasoning.

No sessions available
5-12 Weeks
The Analytics Edge (edX) EdX
MIT,MITx

The Analytics Edge (edX)

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

This course is archived
13-24 Weeks
Terrorism and Counterterrorism (edX) EdX
Georgetown University,GeorgetownX

Terrorism and Counterterrorism (edX)

What is the danger of terrorism, and how can the world respond effectively? Terrorism has gone from a persistent yet marginal security concern to one of the most important security problems of our day. There are few countries that do not suffer from some form of terrorism. Though many attempts at terrorism fail, some groups wage lengthy and bloody campaigns and, in exceptional cases, kill hundreds or even thousands in pursuit of their ends.

Self Paced
Self-Paced
Foundations of Data Analysis - Part 1: Statistics Using R (edX) EdX
University of Texas at Austin,UTAustinX

Foundations of Data Analysis - Part 1: Statistics Using R (edX)

This is a hands on course with a data lab to teach fundamental statistical topics such as descriptive statistics, inferential testing, and modeling. In this first part of a two part course, we’ll walk through the basics of statistical thinking – starting with an interesting question. Then, we’ll learn the correct statistical tool to help answer our question of interest – using R and hands-on Labs.

No sessions available
5-12 Weeks