Artificial Intelligence with Cloud Computing

Artificial Intelligence with Cloud Computing

Introduction

Human understanding and its role in the modernized world have seen new improvement developments and Artificial Intelligence has successfully changed the capacity of how work is being done.

It is also declaring that cloud computing as a factor shall find huge use and nearly boil as a nearly perfect accompaniment to Cloud Computing in the actual future. Big declaration has already been made on how the two can soon become absolutely important to each other. Learning shall become easier and handling huge clouds of data shall be customized upon the particular must of an employer.

There is the least doubt that when tasks are automated, they become better and structured. Integrating AI into the cloud development projects thus goes a long way in providing a promising future of handling the two realms closer together.

Cloud computing services have morphed from platforms such as Google App Engine and Azure to Infrastructure which involves the provision of machines for computing and storage. In addition to this, cloud providers also offer data platform services which span the different available databases. This chain of development points in the direction of the growth of Artificial Intelligence and Cloud Computing.

What is AI with Cloud Computing?

AI cloud computing is the merging of the machine learning capabilities of artificial intelligence with cloud-based computing environments, making intuitive, connected experiences possible. Digital assistants such as Siri, Amazon Alexa, and Google Home combine a seamless flow of artificial intelligence technology and cloud-based computing resources to enable users to make purchases, adjust a smart thermostat, or hear a favourite song instantly.

Artificial intelligence tools are being used to deliver more value on existing cloud computing platforms. SaaS (software-as-a-service) providers are adding AI tools into larger software suites to provide greater functionality to end-users. For example, the popular customer relationship management platform, Salesforce, recently added Einstein, a tool that offers the ability to capture customer data, making it easier to track and personalize customer relationships.

Objective of this Training

This Training introduces you to the core images of cloud computing. You will growth the essential knowledge needed for understanding Artificial Intelligence cloud computing from both business and professional approach.

You will learn about the explanation and must characteristics of cloud computing, its history, emerging direction, and the business case for Artificial Intelligence cloud computing. You will also determine about the various cloud service models (IaaS, PaaS, SaaS) and deployment models (Public Cloud, Private Cloud, Hybrid Cloud) and the key factors of a cloud architecture (Virtualization, Virtual Ms, Storage, Networking, Containers, Serverless).

Learning Objectives

By the ending of this Training, you will be able to:

 Define cloud computing and explain its essential characteristics, history, & emerging trends.

 Articulate the business case for cloud computing.

 Describe the service & deployment models of cloud computing.

 Explain the various components of a cloud architecture.

Eligibility Required

 BE/BTech. (All Streams)

 BCA, BSc (CS/IT) Degree

 PGDCA, MCA, ME /MTech

On completion of this training, you will be work as -

 AWS Cloud Engineer

 AI Cloud Specialist

 Cloud Engineer

 Cloud DevOps Engineer

 Azur Cloud Engineer

 Full Stack Developer