Cloud Computing with AWS Amazon Web Services

Cloud Computing with AWS Amazon Web Services, available at $49.99, has an average rating of 4.05, with 113 lectures, based on 102 reviews, and has 815 subscribers.

You will learn about On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services. Having command over all the options, services and tools available. You could develop Mobile, Web, IoT, AI, and other applications. Learn to create an Object Storage, Alexa ChatBOT, DevOps Toolchain, etc This course is ideal for individuals who are Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services. It is particularly useful for Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.

Enroll now: Cloud Computing with AWS Amazon Web Services

Summary

Title: Cloud Computing with AWS Amazon Web Services

Price: $49.99

Average Rating: 4.05

Number of Lectures: 113

Number of Published Lectures: 113

Number of Curriculum Items: 113

Number of Published Curriculum Objects: 113

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services.

Having command over all the options, services and tools available.

You could develop Mobile, Web, IoT, AI, and other applications.

Learn to create an Object Storage, Alexa ChatBOT, DevOps Toolchain, etc

Who Should Attend

Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.

Target Audiences

Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.

In this course, we would explore Amazon Cloud- Amazon Web Services. Learn all the available services under catalog, and what we can do with each service provided with platform and Infrastructure categories. AWS is currently the market leader with its wide range of cloud services spanning in almost each domain of Information technology, be it Database or Analytics, Cyber security or Game development. You can do almost anything related to technology with cloud computing. It allows you to easily scale your resources when there is a sudden surge in traffic or demand, in manner that you don’t need to provision everything manually keeping costs as low as possible. AWS can save a lot of time when you are building some solutions, or running an existing project.

This course covers wide range of AWS services, and you will be learning each of them one by one.

S3, Glacier, EBS, EFS, Storage Gateway (Cloud Storage)

EC2, Beanstalk, Lambda, Container, Lightsail, VPC (Compute)

DynamoDB, Elasticache, RDS, Redshift (Cloud Database)

Kinesis, EMR (Cloud Analytics)

Mobile Hub, AppSync, DeviceFarm, Pinpoint (Mobile)

IAM, Cognito, CloudWatch (Access Management)

Gamelift, Sumerian

Amazon MQ, SNS, SQS, SWS and Step Functions

Migration Hub, Snowball

Artifact, Cloud HSM, Directory Service, Guard duty, Inspector, WAF and Shield, Single sign on, etc

We will be learning each of them in some depth building practical demonstration, and certain projects on topics like Lambda, IAM, API Gateway, etc. At later parts we would develop and deploy our test applications on AWS.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Creating an AWS account

Lecture 2: Exploring Amazon Web Services

Lecture 3: AWS CLI: Installation and Configuring with IAM user credentials

Lecture 4: AWS CLI: Command Reference

Chapter 2: Quicksight

Lecture 1: Getting Started with Quicksight

Lecture 2: Importing dataset and understanding group and values

Lecture 3: Creating Treemap and Customizing charts

Lecture 4: Data Preparation- Editing Dataset before creating Charts

Lecture 5: Create a Calculated Field using Functions- ceil and concat

Lecture 6: More calculated fields

Lecture 7: Creating Filters and Excluded list

Lecture 8: Map Chart and Conditional Formatting

Lecture 9: Pivot table

Chapter 3: Compute

Lecture 1: Learning- Amazon Elastic Compute Cloud (EC2)

Lecture 2: Creating an EC2 instance

Lecture 3: Launching an EC2 instance

Lecture 4: Learning- Amazon Elastic Beanstalk

Lecture 5: PRACTICAL- Beanstalk

Lecture 6: Learning- Amazon Lambda

Lecture 7: PRACTICAL- Batch

Lecture 8: Learning- Elastic Container Service

Lecture 9: PRACTICAL- ECS

Lecture 10: PRACTICAL- EKS

Lecture 11: VPC (Virtual Private Cloud)

Lecture 12: Lightsail

Chapter 4: Storage

Lecture 1: Learning- Amazon Simple Storage Service (S3)

Lecture 2: S3 Practical

Lecture 3: Learning- Amazon Glacier

Lecture 4: Glacier Practical

Lecture 5: Learning- Amazon Elastic Block Store (EBS)

Lecture 6: Learning- Amazon Elastic File System (EFS)

Lecture 7: EFS Practical

Lecture 8: AWS Storage Gateway

Lecture 9: Storage Gateway Practical

Chapter 5: Database

Lecture 1: Database Introduction

Lecture 2: LEARNING- Amazon DynamoDB

Lecture 3: LEARNING Amazon ElastiCache

Lecture 4: ElastiCache Practical

Lecture 5: LEARNING- Amazon Relational Database Service (RDS)

Lecture 6: RDS Practical

Lecture 7: LEARNING Amazon Redshift

Lecture 8: Redshift Practical

Chapter 6: Analytics

Lecture 1: LEARNING- Amazon Elastic MapReduce (EMR)

Lecture 2: LEARNING- Amazon Kinesis

Chapter 7: Build a Solution

Lecture 1: Launch a Virtual Machine

Lecture 2: Build a Web App

Lecture 3: Build using Virtual Servers

Lecture 4: Connect an IoT device

Lecture 5: Start a development project

Lecture 6: Register a domain

Lecture 7: Deploy a Serverless Microservice

Lecture 8: Create a backend for your mobile app

Chapter 8: VPC and Cost Management

Lecture 1: VPC

Lecture 2: Cost Management

Chapter 9: Amazon DeepComposer

Lecture 1: overview- deep composer

Lecture 2: Getting started with Music Studio

Lecture 3: Using GAN to generate other instruments

Chapter 10: AWS Lambda

Lecture 1: What is AWS Lambda (Optional Reading)

Chapter 11: Projects and Practical

Lecture 1: PROJECT 1: Lambda Function with API Gateway (Part-1)

Lecture 2: PROJECT 1: Lambda Function with API Gateway (Part-2)

Lecture 3: PROJECT 1: Lambda Function with API Gateway (Part-3)

Lecture 4: PROJECT 2: Lambda Function with DynamoDB (Part-1)

Lecture 5: Project-2: Lambda function with DynamoDB (Part-2)

Chapter 12: Amazon Cognito

Lecture 1: What is Amazon Cognito?

Lecture 2: Cognito In-depth

Lecture 3: Amazon Cognito (optional reading)

Lecture 4: Cognito- Practical

Chapter 13: Mobile Services

Lecture 1: Understanding Mobile Hub

Lecture 2: Mobile Hub- Practical

Lecture 3: Understanding Mobile AppSync

Lecture 4: AppSync- Practical

Lecture 5: Understanding Device Farm

Lecture 6: Device Farm- Practical

Lecture 7: Understanding Mobile Analytics (Pinpoint)

Lecture 8: Pinpoint- Practical

Chapter 14: Game, AR and VR Development

Lecture 1: Gamelift

Lecture 2: PRACTICAL- Gamelift

Lecture 3: Sumerian

Lecture 4: PRACTICAL- Sumerian

Chapter 15: Application Integration

Lecture 1: Amazon MQ

Lecture 2: PRACTICAL- Amazon MQ

Lecture 3: SNS

Lecture 4: PRACTICAL- SNS

Lecture 5: SQS

Lecture 6: PRACTICAL- SQS

Instructors

Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur

Rating Distribution

1 stars: 11 votes

2 stars: 5 votes

3 stars: 13 votes

4 stars: 18 votes

5 stars: 55 votes

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