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15 cloud tech courses you can take from Coursera, edX, and Udemy that are cheap or available for free for a limited time


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Alyssa Powell/Business Insider

  • Cloud computing and the related skills are in-demand in 2020 according to data from LinkedIn.
  • We rounded up 15 cloud tech courses you can enroll in for cheap or free, and earn a certificate upon completion from Coursera, edX, and Udemy.
  • Read more: 13 sites where you can learn how to code online for free or close to it

Cloud computing is one of the fastest-growing areas of the job market and, unsurprisingly, an in-demand skill set for employees according to data from LinkedIn.

Companies rely upon the cloud and need employees with the necessary technical skills to help implement the architecture, design, and delivery of cloud systems. 

Luckily, those are all skills you can pick up online for relatively little or for free — and earn certificates of completion to share with employers, prospective employers, and your network.

Below, find 15 courses that offer cloud tech classes and certificates of completion from Coursera, edX, and Udemy. You can enroll in edX courses for free or pay for a certificate like Coursera, but the following Coursera courses (including a certificate) are free for anyone for a limited time. 

Here are 15 cloud tech courses you can take online and receive a certificate for completing:

Introduction to Cloud Infrastructure Technologies


Enroll for free on edX, add a verified certificate for $169

This introductory course teaches the fundamentals of building and managing cloud technologies directly from The Linux Foundation, the non-profit that supports open-source projects and ecosystems.

Students will master the basics of cloud computing from terminology to tools and technologies used in popular contemporary cloud platforms. 

Altogether, the course should take students 14 weeks to complete. 

Machine Learning for Business Professionals


Enroll for free on Coursera until July 31

This introductory machine learning course is a starting place for non-technical business professionals. Learn to formulate machine learning solutions to real-world problems, identify whether the data you have is sufficient for ML, be familiar with ML use cases, perform AI responsibly and avoid reinforcing an existing bias, and bring a project through various ML phases including training, evaluation, and deployment.

You’ll need a desktop web browser to run this course’s interactive labs via Qwiklabs and Google Cloud Platform.

Altogether, it should take 12 hours to complete.

Industrial IoT on Google Cloud Platform


Enroll for free on Coursera until July 31

This Google course covers the entire Industrial IoT network architecture ranging from sensors and devices to analysis — though the emphasis is on the cloud side. 

You’ll learn about the importance of scaling, device communication, and processing streaming data. The course labs use simulated devices so you concentrate on learning the cloud side of IIoT. It should take students about 15 hours to complete. 

Unlike many Coursera courses, this one has little video. Most of the learning is done with short readings, quizzes, and labs. 

Building Conversational Experiences with Dialogflow


Enroll for free on Coursera until July 31

This beginner-level course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.

It should take about eight hours to complete.

Google Cloud Platform Fundamentals for AWS Professionals


Enroll for free on Coursera until July 31

This course introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database.

The class is designed specifically for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup who are looking to gain experience in configuring GCP products quickly.

This accelerated course should only take students about 13 hours to complete.

AWS Computer Vision: Getting Started with GluonCV


Enroll for free on Coursera until July 31

This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit.

Students will explore artificial neural networks and other deep learning concepts, and walk through how to combine neural network building blocks into complete computer vision models and train them.

It should take students about 29 hours to complete. 

Introduction to Cloud Identity


Enroll for free on Coursera until July 31

This is an introduction to cloud identity for identity/access management/mobile device management admins who are tasked with managing and establishing security and access management best practices for their organization.

It should take students 15-30 hours to complete.

Developing AI Applications on Azure


Enroll for free on Coursera until July 31

Students will be introduced to artificial intelligence and machine learning, and work with Azure APIs, including those for vision, language, and search.

They’ll create, train, test and deploy an AI model in the cloud; learn to describe AI tools and roles, and the Microsoft Team Data Science Process.

It should take students about 16 hours to complete.

Introduction to TCP/IP


Enroll for free on Coursera until July 31

In this course, students will learn the operational functions of Internet technologies, including IPv4, IPv6, TCP, UDP, addressing, routing, domain names, and more, specifically about their own PC/laptop’s security and gateway Internet setup and basic principles.

In a simple Wireshark experiment, students will also see the TCP/IP packets and security systems in action that are serving their PC/laptop and thereby them.

It should take students approximately five hours to complete.

Cloud Computing Basics (Cloud 101)


Enroll for free on Coursera until July 31

Students will learn the basics of cloud computing in this Cloud 101 course, including what it is, what it supports, and how it’s delivered.

Students will pay attention to storage services, Cloud economics, levels of managed infrastructure, and Azure services.

This course should take students approximately nine hours to complete.

Getting Started with AWS Machine Learning


Enroll for free on Coursera until July 31

This course teaches students how to get started with AWS Machine Learning, including key problems that ML can address and help solve. 

Students will learn how to build intelligent applications using Amazon AI services as well as how to build, train, and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance.

It should take students about eight hours to complete. 

AWS Networking In Depth: Learn Practically in 7 hours


Enroll for $15.99 on Udemy as a new customer

This course aims to build a complete understanding of Amazon Web Services Networking from scratch in seven hours. The course is split up into two sections, the first emphasizing understanding AWS Networking, and the second uses hands-on exercises to teach AWS Networking — from the basics to more advanced processes.

TOTAL: Cloud Computing / CompTIA Cloud+ Cert. (CV0-002)


Enroll for $12.99 on Udemy as a new customer 

This class teaches students the basics of Cloud Computing and how to prepare for the CompTIA Cloud+ Certification Exam.

It’s recommended to have at least 24–36 months of work experience in IT networking, network storage, or datacenter administration for this course.

Cloud Computing Concepts


Enroll for $12.99 on Udemy as a new customer

Learn the fundamentals of cloud computing including the types of cloud, cloud platforms, models, concepts, and considerations for moving an application from traditional IT to Cloud.

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