https://jeetechacademy.com/cloud-computing-course/ Cloud computing is a method of providing computing resources and services over the Internet, in contrast to the client-server model of computing. Cloud computing allows users to share resources, data, and information by accessing, storing, and collaborating on virtualized resources.

1. Basics
of Cloud Computing

2. Cloud computing refers to the delivery of computing
services, including server, storage, databases,
networking, software, and analytics, over the
internet, i.e, the cloud. Cloud computing enables
users to access and use these services on-demand,
without the need for upfront investment in
hardware, software or infrastructure.

4. Uses
of Cloud Computing

5. Software Development
and Testing
cloud computing provides
developers with on demand
access to commuting
resources, enabling them to
develop, test, and deploy
applications faster and
more efficiently.

6. Cloud Storage
Cloud storage allows
organizations to store their
data on remote servers, rather
than on their own local
storage devices. Cloud storage
is scalable and can be accessed
from anywhere with an
Internet connection, making it
ideal for organizations that
need to store large amounts of
data.

7. Big Data Analytics
Cloud computing can be used to
process and analyze large amounts
of data, allowing organizations to
gain insights into their business
operations and make informed
decisions. Cloud-based big data
analytics solutions can be accessed
from anywhere and are typically
more cost-effective than on-
premises solutions.

8. Disaster recovery
and backup
Cloud computing can be used for
disaster recovery and backup
purposes, allowing organizations
to store their critical data and
applications in the cloud. Cloud-
based disaster recovery and
backup solutions can help
organizations quickly recover
from disasters and minimize
downtime.

9. Artificial
intelligence and
machine learning
Cloud computing can be used
to train and run artificial
intelligence and machine
learning models. Cloud-based
AI and ML solutions can
provide organizations with
the computational power and
storage needed to process
large amounts of data and
train complex models.

10. Internet of Things (IoT)
Internet of Things (IoT): Cloud
computing can be used to manage and
process the data generated by IoT
devices. Cloud-based IoT solutions can
help organizations monitor and
analyze data from their devices in real-
time, allowing them to improve
operational efficiency and enhance
customer experiences.

12. Basics
of Cloud Computing

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