AWS Developer: Building on AWS

Course Feature

Cost

Free
Provider

Edx
Certificate

No Information
Language

English
Start Date

8th Aug, 2019
Learners

No Information
Duration

4.00
Instructor

/

Add to Favorites

3.0

174 Ratings

This AWS Developer course is the perfect opportunity to develop and deploy applications on the AWS platform. Working in Python on Linux, you will build a web application with the help of AWS instructors and hands-on exercises. You will use Amazon EC2 and AWS Lambda, store and access images and video in Amazon S3, analyze images and video with Amazon Rekognition, and manage data with Amazon RDS. You will also learn about Regions, Availability Zones, Virtual Private Clouds (VPCs), and Security Groups. Upon completion, you will be ready to move on to the second course in the series, which focuses on deploying applications in the cloud.

Show All

Go to class

Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
This course will provide students with the skills and knowledge to develop and deploy applications on the AWS platform. Students will learn to use Python on Linux to build a web application, as well as use Amazon EC2 and AWS Lambda compute services. They will also learn about object stores by saving and accessing images and video in Amazon S3, and use Amazon Rekognition to analyze images and video. Additionally, students will learn to manage collected data using the Amazon Relational Database Service (RDS), refactor applications, increase availability using load balancing, and improve performance and durability using messaging and queuing with the AWS SNS messaging service and Amazon SQS queuing service. General AWS concepts such as Regions, Availability Zones, Virtual Private Clouds (VPCs), and Security Groups will also be covered. Students will use the AWS service APIs programmatically via AWS SDKs, the AWS CLI, and the AWS Cloud9 Integrated Development Environment (IDE).
Professional Growth:
This course contributes to professional growth by providing an in-depth understanding of the AWS platform and its services. Students will gain hands-on experience developing and deploying applications on the AWS platform, using Python on Linux. They will learn about object stores, Amazon Rekognition, Amazon RDS, load balancing, messaging and queuing, Regions, Availability Zones, Virtual Private Clouds (VPCs), and Security Groups. Additionally, they will gain experience using the AWS service APIs programmatically via AWS SDKs, the AWS CLI, and the AWS Cloud9 Integrated Development Environment (IDE). Through class discussions, students will have the opportunity to interact with fellow students and AWS training staff. Upon completion of the course, students will be ready to continue on into the second course in the series, which will focus on deploying applications in the cloud.
Further Education:
Yes, this course is suitable for preparing further education. It covers a wide range of topics related to developing and deploying applications on the AWS platform, including setting up an account, installing SDKs, using Amazon EC2 and AWS Lambda compute services, object stores, Amazon Rekognition, Amazon RDS, load balancing, messaging and queuing, and general AWS concepts such as Regions, Availability Zones, Virtual Private Clouds (VPCs), and Security Groups. Additionally, the course provides an opportunity to interact with fellow students and AWS training staff. Upon completion of the course, students will be ready to continue on into the second course in the series, which will focus on deploying applications in the cloud.

Show All

Recommended Courses

Amazon SageMaker: Simplifying Machine Learning Application Development

3.0

Edx 155 learners

Learn More

This course will teach application developers how to use Amazon SageMaker to simplify the integration of Machine Learning into their applications. With the help of AWS Training and Certification expert instructors, you will learn about Machine Learning, how to use a Jupyter Notebook to train a model, and how to publish the validated model. At the end of the course, you will build a serverless application that integrates with the SageMaker published endpoint. Don't miss this opportunity to gain a highly sought after skillset in today's job market!

AWS Cloud Technical Essentials

4.5

Futurelearn 176 learners

Learn More

This four-week course is designed to help you develop essential cloud skills and gain a solid understanding of AWS services. With expert guidance from Amazon Web Services, you'll learn the fundamentals of cloud computing and the terminology and concepts related to AWS. You'll also take a hands-on approach and build a cloud-based application to apply your theoretical knowledge. By the end of the course, you'll have the skills to confidently work with AWS and make informed decisions about IT solutions that will benefit your organisation. This course is best suited for technical professionals and requires no prior knowledge of cloud computing.

Building Containerized Applications on AWS

1.5

Coursera 0 learners

Learn More

This course introduces you to container technologies and how they can be used to modernize your applications, as well as exploring how different AWS services can be used to manage and orchestrate those containers. Learn how to deploy and manage a containerized application with video-based lectures, demonstrations, and hands-on lab exercises. AWS offers a number of services to help with container orchestration, including Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), Amazon Lightsail, and Amazon Elastic Container Registry (ECR). Enroll now to take advantage of this course before it closes for new learner enrollment on April 7th, 2022. Upgrade or apply for Financial Aid by April 6th to earn a Course Certificate.

Introduction to Machine Learning on AWS

2.5

Edx 403 learners

Learn More

This course provides an introduction to Machine Learning on AWS. It covers services that do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. Participants will learn how to use AI, ML and Deep Learning to improve their current solutions and user experience. With the help of Amazon, they will be able to train models and perform raw inference. This course is perfect for anyone looking to make the most of their applications with the help of Machine Learning.