COURSE OVERVIEW

Welcome to Infoclub Ltd’s Cloud Computing Course, where we provide you with the knowledge and hands-on experience to master the world of cloud computing. This course is designed to give you a comprehensive understanding of cloud platforms, services, and how to leverage them for innovation, scalability, and efficiency in real-world projects.

In this course, you will get in-depth exposure to the leading cloud platforms—Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)—as well as the cutting-edge technologies they offer, such as AI and machine learning services. These platforms provide an ever-expanding array of services that power everything from web hosting and data storage to AI-powered analytics and large-scale application development.

What Will You Learn?

  • Core Cloud Concepts: Understand the basic principles of cloud computing, including IaaS, PaaS, SaaS, virtualization, and cloud security.

  • Cloud Platforms: Gain hands-on experience with the most popular cloud platforms—Microsoft Azure, AWS, and Google Cloud Platform (GCP)—and learn how to deploy, manage, and scale applications in the cloud.

  • AI in Cloud: Learn how to leverage AI services in the cloud for building intelligent applications and automated systems. Explore Azure AI, AWS AI and Machine Learning, and Google Cloud AI to integrate advanced machine learning models and data analytics into your solutions.

CLOUD COMPUTING PLATFORMS AND SERVICES

Microsoft Azure

Azure is one of the most widely used cloud platforms, offering a wide range of services for building, deploying, and managing applications through Microsoft-managed data centers. With Azure AI, you can easily build and integrate intelligent applications into your workflows. You'll also learn how to use services like Azure Machine Learning, Azure DevOps, and Azure Functions to streamline development and operations. In this course, you will:

1. Deploy applications and infrastructure with Azure App Services and Virtual Machines.

2. Use Azure AI to create cognitive services like computer vision, natural language processing, and speech recognition.

3. Work with Azure Databases and manage data storage using tools like Azure SQL Database and Azure Blob Storage.

Amazon Web Services (AWS)

AWS is the global leader in cloud infrastructure, offering flexible and scalable cloud services. Whether it's running compute instances with EC2, storing data with S3, or building machine learning models with AWS SageMaker, AWS provides the tools you need to innovate and scale. In this course, you'll:

1. Learn to deploy and manage cloud applications using AWS Elastic Beanstalk, Lambda, and EC2.

2. Implement scalable data storage solutions with Amazon S3, DynamoDB, and RDS.

3. Explore AI services such as Amazon Lex, Polly, and Rekognition to integrate machine learning and natural language processing into your apps.

Google Cloud Platform (GCP)

Google Cloud offers a comprehensive suite of cloud services, with a particular emphasis on big data, machine learning, and developer-friendly tools. As part of the course, you will learn how to utilize Google Cloud Console to manage cloud resources and use Google Cloud Digital Leader tools for gaining insights from data. You will:

1. Learn how to deploy applications using Google Compute Engine and App Engine.

2. Explore data storage and management solutions such as Google Cloud Storage, BigQuery, and Cloud Spanner.

3. Use Google AI tools like AutoML and TensorFlow to build advanced machine learning applications.

COURSE ORGANISATION & TIMING

We have created a schedule for this course to match with most availabilities.

BENEFITS OF THIS COURSE

There are many benefits in becoming proficient in cloud computing

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