Learn how to perform the orchestration of an advanced workflow using the AWS cloud service Step Functions with a practical project.

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The very fabric of an advanced society depends on code. Healthcare, commerce, industry, and government operations, all depend on complex software systems. At present, code or software runs on cloud servers. This course will provide a solid foundation to effectively use various AWS services to automate tasks. 

You’ll start the course by setting the stage with an exciting practical project. In the initial modules, you’ll be introduced to the core concepts of serverless computing. After that, you’ll learn the Saga Pattern and the foundations of state machines and states. Next, you’ll move on to construct a state machine using AWS templates and delve deep into the Serverless Framework.

By the end of this course, you'll be equipped to design, build, and manage complex serverless applications on AWS. This newfound proficiency could open up new opportunities in your career, setting you apart in the booming field of serverless computing. So, let's get started on this exciting journey!

Automate Workflows with AWS Step Functions

Developers manage their own servers and infrastructure.

 There are no servers involved in running applications.

 All applications are hosted on a single shared server.

Developers focus on writing code while the cloud provider manages the infrastructure.

 Which best describes the serverless computing concept?

Which best describes the serverless computing concept?

Developers are responsible for provisioning and scaling infrastructure.

Lambda functions can only be written in a single programming language.

Lambda functions can be automatically triggered by events or other services.

Lambda functions can only be used for web applications.

 What is the primary benefit of using AWS Lambda in serverless applications?

What is the primary benefit of using AWS Lambda in serverless applications?

 It increases idle capacity due to the over-provisioning of resources.

 It eliminates idle capacity by charging for preallocated resources.

It reduces idle capacity by allocating resources based on actual demand.

 It has no effect on idle capacity as developers still manage the infrastructure.

What is the impact of serverless computing on idle capacity?

What is the impact of serverless computing on idle capacity?

By charging for preallocated resources regardless of usage

 By requiring developers to pay for additional management services

By offering a flat-rate pricing model for all serverless applications

By charging only for the actual computing time used by applications

How does serverless computing contribute to cost efficiency?

How does serverless computing contribute to cost efficiency?

Developers need to manually scale resources based on the demand.

Serverless applications automatically scale up or down based on the demand.

Serverless applications only scale up and never scale down.

Serverless applications only scale down during peak hours.

How does serverless computing handle the scalability of applications?

How does serverless computing handle the scalability of applications?

Quiz over serverless computing concepts

Quiz over serverless computing concepts

Test your knowledge of serverless computing concepts.

Getting Started

Basics of AWS Services

AWS Step Functions: Part I

AWS Step Functions: Part II

Serverless Framework

Practical Project Part I: Setup Project

Practical Project Part II: Ingredient Preparation Stage

Practical Project Part III: Mixing Stage

Practical Project Part IV: Shaping Stage

Practical Project Part V: Quality Control

Practical Project Part VI: Packaging

Practical Project Part VII: Polishing

Practical Project Part VIII: CI/CD with GitHub Actions

Wrap Up

Assessment

Quiz: Getting Started