Best Places to learn free Cloud courses
Organizations are deploying cloud arrangements at a constantly increasing rate. Also, organizations like (Google Cloud), Amazon (AWS), and Microsoft (Azure) have been capitalizing by providing some of the most important cloud arrangements in the industry. Furthermore, those are only a few accessible platforms. VMWare, IBM, Rackspace, and numerous others provide some good arrangements also. So because of these platforms, the requirement for educated, qualified workers is quickly increasing too.
There are numerous quality learning platforms for cloud proficiency. These platforms are useful for individuals simply starting out, those who have involvement with that industry for some years, or who are not regular cloud veterans. The query isn't your experience level, however 'what would you like to learn?' Some of the courses are totally free and some paid. Many of them offer free preliminaries so you can attempt the course before you purchase it. Also, some of them have courses with hands-on virtual labs.
List of 10 free cloud computing courses
- Machine Learning for Business Professionals
This course is proposed to be a presentation to machine learning for non-specialized business experts. There is a great deal of hype around machine learning and numerous individuals are concerned that so as to utilize machine learning in business, you should have a specialized background. For details that are included in this course that is not the case. In reality, your insight into your business is much more significant than your capability to create an ML model at the start.
- AWS Computer Vision: Getting Started with GluonCV
This course gives an intro of CV - Computer Vision, Machine Learning with AWS - Amazon Web Services, and the best method to create and prepare a CV model utilizing the GluonCV and Apache MXNet toolbox. The course highlights artificial neural systems and other profound learning ideas, then discusses the way to join neural systems building blocks with complete vision models for computers and train them proficiently.
- Industrial IoT on Google Cloud Platform
This course includes the whole Industrial IoT network design from devices and sensors to analysis. The course examines devices and sensors however, the attention is on the cloud side. You'll find out about the significance of scaling, processing streaming data, and device communication. The course utilizes simulated gadgets in the labs to permit you to focus on learning the cloud side of the Internet of Things. The course is somewhat unique in relation to most Coursera courses in light of the fact that there is a very short video. A large portion of the learning is finished with short readings, labs, and quizzes. You will learn how to define the cloud side of IoT and utilize Cloud IoT Pub/Sub, Core, and Dataflow. And also, covers the way to implement a pipeline from their device to Dataprep and BigQuery.
- Introduction to Cloud Identity
Introduction to Cloud Identity points out as the opening place for any new Cloud Identity, Access or Identity Management or, the Management for Mobile Device admins as they begin their journey of establishing and managing security and best practices for access management for their companies. This 15 to 30 hour, one-week course will make you feel good to use the essential elements of the Admin Console to oversee users, design normal security settings, control access to services, and some more. You will learn about how to set up a Cloud Identity domain for their personal organizational domain and discover and apply diverse security protocols to the domain. You can add users to practice user lifecycle management and modify them to gain knowledge of the main features of Cloud Identity.
- Getting Started with AWS Machine Learning
Machine learning (ML) is one of the quickest developing zones in innovation and a highly in-demand skillset in the present occupation market. The World Economic Forum expresses the expansion of artificial intelligence (AI) could make fifty-eight million net different professions in the upcoming years, yet it's evaluated that as of now there are 300,000 engineers of AI around the world, but millions are required. This implies there is an immediate and unique opportunity for you to begin with learning the basic Machine Learning ideas that are utilized to create AI applications – regardless of what your expertise levels are. Learning the foundations of ML now, will assist you with staying up with this progress, grow your abilities, and even get improve your career.
- Google Cloud Fundamentals for AWS
This quickened 6-hour course with labs presented AWS experts with the core functions of Google Cloud Platform (GCP) in the four innovation pillars: compute, storage, networking, and database. It is intended for SysOps Administrators and AWS Solution Architects acquainted with AWS set up and features and need to pick up experience designing GCP products right away. With demos, presentations, and hands-on labs, members get information about differences, similarities, and starting how-tos rapidly. This course is for you If you like to learn quickly by doing.
- Building Conversational Experiences with Dialogflow
This course gives complete details to understand the best technique to make a chatbot using Dialogflow, grow it through Cloud Natural Language API, and implement it utilizing the tools of Google Cloud.
- Cloud Computing Basics (Cloud 101)
We will talk about the fundamentals of Cloud computing: what it is, the thing that it supports, and how it is delivered. We will dive into the levels of managed infrastructure, Cloud economics, storage services, and Azure services. Also, we will define many deployment models of Cloud computing, and also many hosting scenarios. We will also think about some of the cloud platforms and explore cloud computing’s future.
- Developing AI Applications on Azure
This course presents the concepts of Machine learning and Artificial Intelligence. We'll examine machine learning types, algorithms, and tasks. You'll discover Python as a famous programming language for machine learning solutions, including using some system scientific packages which will assist you with implementing machine learning.
- AWS Cloud Practitioner Essentials
The course of AWS Certified Cloud Practitioner is intended for people who have the information and aptitudes important to effectively demonstrate information of the AWS Cloud, independent of specific specialized characters discussed by different AWS Certifications.