Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required!
Throughout the course, students will build highly available, scalable, and cost effective application step-by-step. Upon course completion, you will be able to make an informed decision about when and how to apply core AWS services for compute, storage, and database to different use cases. You’ll also learn about cloud security with a review of AWS' shared responsibility model and an introduction to AWS Identity and Access Management (IAM). And, you’ll know how AWS services can be used to monitor and optimize infrastructure in the cloud.
AWS Cloud Technical Essentials is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future. Enroll in AWS Cloud Technical Essentials and start learning the technical fundamentals of AWS today!
Note: This course was designed for learners with a technical background. If you are new to the cloud or come from a business background, we recommend completing AWS Cloud Practitioner Essentials (https://www.coursera.org/learn/aws-cloud-practitioner-essentials) before enrolling in this course.
Week 1
Welcome to AWS Cloud Technical Essentials Week 1! In this week, you will learn the definition of cloud computing and how to describe the cloud value proposition. You will learn how to differentiate between workloads that run on-premises versus in the cloud, and how to create an AWS account. You will also get an overview of Amazon Web Services, including how to differentiate between AWS Regions and Availability Zones, and the different ways that you can interact with AWS. Finally, you will learn best practices for using AWS Identity and Access Management (IAM).
Learning Objectives
- Define cloud computing and its value proposition
- Differentiate between workloads running on-premises and in the cloud
- Describe Amazon Web Services
- Differentiate between AWS Regions and Availability Zones
- Describe the different ways to interact with AWS
- Create an AWS account
- Discover IAM best practices
Week 2
Welcome to Week 2, where you will learn how AWS compute services differ from other AWS services. The content for this week covers the basic components of Amazon Elastic Compute Cloud (Amazon EC2) architecture, and how to differentiate between a container and a virtual machine. You will also learn about the features and advantages of using serverless technologies, basic networking concepts, and the features of Amazon Virtual Private Cloud (Amazon VPC).
Learning Objectives
- Discover how AWS compute services differ from other AWS services
- Discover the basic components of EC2 architecture
- Differentiate between a container and a virtual machine
- Discover the features and advantages of using serverless technologies
- Define basic networking concepts
- Explain the features of Amazon Virtual Private Cloud (VPC)
- Create a VPC
Week 3
Welcome to Week 3! This week, you will learn important concepts for AWS storage services—such as buckets and objects for Amazon Simple Storage Service (Amazon S3), and how Amazon Elastic Block Store (Amazon EBS) is used on AWS. You will also explore databases on AWS, and the use cases for each AWS storage service.
Learning Objectives
- Differentiate between file, block, and object storage
- Describe the function of Amazon EBS on AWS
- Explain important S3 concepts, such as S3 buckets and objects
- Explain when to use each AWS storage service
- Create an Amazon S3 bucket
- Explore databases on AWS
- Describe the function of Amazon DynamoDB on AWS
- Create a DynamoDB table
Week 4
Welcome to Week 4, where you will learn about the benefits of monitoring on AWS, and how to optimize solutions on AWS. You will also learn about the function of Elastic Load Balancing (ELB), and how to differentiate between vertical scaling and horizontal scaling.
Learning Objectives
- Define the benefits of monitoring on AWS
- Describe the function of Amazon CloudWatch on AWS
- Discover how to optimize solutions on AWS
- Describe the function of Amazon Elastic Load Balancer
- Route traffic with Amazon Elastic Load Balancing
- Differentiate between vertical and horizontal scaling
- Configure high availability for your application
DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.
DevOps process can be visualized as an infinite loop, comprising these steps: plan, code, build, test, release, deploy, operate, monitor. Throughout each phase, teams collaborate and communicate to maintain alignment, velocity, and quality. This course in the DevOps on AWS specialization focuses on code, build and test parts of the workflow. We will discuss topics such as source control, best practices for Continuous Integration, and how to use the right tools to measure code quality, by identifying workflow steps that could be automated.
Week 1
This week, you will be introduced to DevOps cultural philosophies, practices, and tools that you can use to deliver applications and services faster and at a higher quality. Building off this knowledge, you will get hands-on with AWS services, such as AWS Cloud9, by setting up a development environment for a sample application.
Learning Objectives
- Describe how the DevOps model benefits development and operations teams
- Explain DevOps cultural philosophies, practices, and tools
- Use AWS Cloud9 to set up your development environment
- Explore how you can use AWS CodeBuild to build and test code with continuous scaling
- Evaluate Git branching strategies
Week 2
In the second week, you will discover why it’s important for teams to incorporate testing into the software development lifecycle at different stages of the continuous integration and continuous delivery (CI/CD) pipeline. You will get hands-on with AWS solutions by performing various application tests with AWS CodeBuild, automate your release process with AWS CodePipeline, and automate code deployments with AWS CodeDeploy.
Learning Objectives
- Differentiate between unit tests and integration tests
- Describe the benefits of automated testing
- Run unit tests in AWS CodeBuild and view log output
- Differentiate between continuous integration and continuous delivery
- Create a new pipeline using AWS CodePipeline
- Automate the SAM deploy
AWS provides a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using AWS and DevOps practices. These services simplify provisioning and managing infrastructure, deploying application code, automating software release processes, and monitoring your application and infrastructure performance.
The third course in the series explains how to improve the deployment process with DevOps methodology, and also some tools that might make deployments easier, such as Infrastructure as Code, or IaC, and AWS CodeDeploy.
The course begins with reviewing topics covered in the first course of the DevOps on AWS series. You will learn about the differences between continuous integration, continuous delivery, and continuous deployment. In Exercises 1 and 2, you will set up AWS CodeDeploy and make revisions that will then be deployed. If you use AWS Lambda, you will explore ways to address additional considerations when you deploy updates to your Lambda functions.
Next, you will explore how infrastructure as code (IaC) helps organizations achieve automation, and which AWS solutions provide a DevOps-focused way of creating and maintaining infrastructure. In Exercise 3, you will be provided with an AWS CloudFormation template that will set up backend services, such as AWS CodePipeline, AWS CodeCommit, AWS CodeDeploy, and AWS CodeBuild. You will then upload new revisions to the pipeline.
Week 1
This week, you will start by reviewing topics covered in the first course of the DevOps on AWS series. You will learn about the differences between continuous integration, continuous delivery, and continuous deployment. In Exercises 1 and 2, you will set up AWS CodeDeploy and make revisions that will then be deployed. If you use AWS Lambda, you will explore ways to address additional considerations when you deploy updates to your Lambda functions. Lastly, you will end the week by discovering ways to troubleshoot deployment errors.
Learning Objectives
- Differentiate between continuous integration, continuous delivery, and continuous deployment
- Explore deployment strategies for serverless applications
- Explore compute platforms for deployments
- Explain the purpose of the application specification (AppSpec) file
- Create your own AWS account
- Set up AWS CodeDeploy
- Upload a new revision to your Amazon S3 bucket and AWS CodeDeploy group
- Use AWS solutions to practice continuous delivery
- Explain how to deploy updates to AWS Lambda with AWS SAM and AWS CodeDeploy
- Troubleshoot deployment details and errors
Week 2
This week, you will explore how infrastructure as code (IaC) helps organizations achieve automation, and which AWS solutions provide a DevOps-focused way of creating and maintaining infrastructure. In Exercise 3, you will be provided with an AWS CloudFormation template that will set up backend services, such as AWS CodePipeline, AWS CodeCommit, AWS CodeDeploy, and AWS CodeBuild. You will then upload new revisions to the pipeline.
Learning Objectives
- Describe the benefits of infrastructure as code (IaC)
- Explore AWS infrastructure as a code offerings
- Automate the creation of the pipeline
- Build a Pipeline with AWS CloudFormation
The third and the final course in the DevOps series will teach how to use AWS Services to control the architecture in order to reach a better operational state. Monitoring and Operation are key aspects for both the release pipeline and production environments, because they provide instruments that help discover what's happening, as well as do modifications and enhancements on infrastructure that is currently running.
This course teaches how to use Amazon CloudWatch for monitoring, as well as Amazon EventBridge and AWS Config for continuous compliance. It also covers Amazon CloudTrail and a little bit of Machine Learning for Monitoring operations!
Week 1
This week, you will start by reviewing topics covered in the first and second courses of the DevOps on AWS series. You will then learn about the importance of monitoring and why instrumenting your environment is helpful. You will explore how Amazon CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. Lastly, you will get hands-on with other important AWS solutions to monitor pipeline changes.
Learning Objectives
- Describe the benefits of monitoring CI/CD pipelines
- Differentiate between environment, application, and network metrics
- Explore the benefits of Amazon CloudWatch
- Monitor a code pipeline using Amazon EventBridge and AWS Config
- Discover the benefits of AWS CloudTrail
- Explore ways to monitor your application
- Explore ways to monitor your network
Week 2
This week, you will start by learning about the importance of operation in continuous integration and continuous delivery (CI/CD) pipelines and discover how to detect unmanaged configuration changes to your cloud resources. Though this course focused on AWS solutions for DevOps operations and monitoring, you will also learn about third-party, open-source tooling that are well-known and widely used by the DevOps community. Lastly, you will get hands-on and run commands using AWS Systems Manager, and output logs to Amazon CloudWatch.
Learning Objectives
- Describe the importance of operation in CI/CD pipelines
- Explain how you can mitigate risks in the DevOps journey
- Discover how to detect unmanaged configuration changes to your cloud resources
- Explore the benefits of AWS Systems Manager
- Discover how to remotely run commands in your servers
- Explore common third-party services and tool for DevOps operations
