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Serverless Compute and API Integration Approaches on AWS

This course will teach you how to evaluate AWS compute services and expose them so they can be consumed within a serverless web application.

Most every application needs to leverage a compute service and expose it through an API. In this course, Serverless Compute and API Integration Approaches on AWS, you’ll learn how to select a compute service and expose it through an API. First, you’ll explore the different AWS compute services that can work within a serverless context. Next, you’ll discover how to create serverless workflows with AWS Step Functions. Finally, you’ll learn how to leverage Amazon API Gateway to expose your services to another application. When you’re finished with this course, you’ll have the skills and knowledge of serverless compute and API management needed to create your own serverless architecture.

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What's inside

Syllabus

Serverless Compute

AWS Step Functions

Amazon API Gateway

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Know what's good

, what to watch for

, and possible dealbreakers

Develops skills and knowledge that are applicable in a serverless architecture

Teaches how to integrate serverless applications with a compute service via API

Emphasizes the practical aspects of AWS compute services and API integration

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Serverless Compute and API Integration Approaches on AWS with these activities:

Review Serverless Concepts

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Refresh your understanding of the fundamentals of serverless computing to ensure a solid foundation for the course.

Browse courses on Serverless Computing

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Review the course syllabus.
Read the AWS documentation on serverless computing.
Complete the AWS Serverless Workshop.

Review Fundamentals of Cloud Computing

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Strengthen your foundation in cloud computing concepts for better context in this course.

Browse courses on Cloud Computing

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Read 'Serverless Architectures on AWS' by Peter Sbarski

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Expand your knowledge of serverless architecture by reading an industry-leading book on the topic.

View Serverless Architectures on AWS, Second Edition on Amazon

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Nine other activities

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Curate Serverless Resources

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Organize and maintain a collection of useful resources on serverless computing, including documentation, tutorials, and tools, ensuring easy access to valuable information.

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Create a folder or online space to store resources.
Collect links to relevant documentation, tutorials, and tools.
Organize the resources into categories or tags.

Join a Study Group

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Collaborate with peers, discuss course concepts, and engage in problem-solving, fostering a supportive learning environment and enhancing your understanding.

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Find or create a study group with other course participants.
Meet regularly to discuss course material.
Work together on practice exercises.

Evaluate Different Serverless Compute Services

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Sharpen your ability to select the best compute service for your serverless application by evaluating different offerings.

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List the features, benefits, and limitations of different serverless compute services.
Compare and contrast the different services and their suitability for common use cases.

Develop a Serverless Workflow with AWS Step Functions

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Gain hands-on experience creating serverless workflows by exploring tutorials on AWS Step Functions.

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Follow tutorials on AWS Step Functions to understand the concept of serverless workflows.
Implement a sample serverless workflow using AWS Step Functions.

Hands-on with AWS Step Functions

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Gain practical experience with AWS Step Functions by building and testing serverless workflows, reinforcing the concepts covered in the course.

Browse courses on AWS Step Functions

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Create an AWS account.
Set up the AWS CLI.
Create a simple Step Functions workflow.
Test and debug the workflow.
Deploy the workflow to production.

Implement a Serverless Web Application using a Compute Service

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Reinforce your understanding of serverless compute by implementing a serverless web application.

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Choose an appropriate compute service for your application.
Create the serverless application using the chosen compute service.
Test and debug the serverless application.
Deploy the serverless application and expose it through an API.

Design an API to Expose a Serverless Compute Service

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Deepen your understanding of API design by creating an API to expose a serverless compute service.

Browse courses on API Design

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Define the API endpoints and their functionality.
Choose the appropriate data formats and protocols for the API.
Implement the API using Amazon API Gateway.
Test and document the API.

Design and Implement a Serverless API

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Apply your understanding of serverless computing and API integration by designing and implementing a complete serverless API, demonstrating mastery of the course concepts.

Browse courses on Amazon API Gateway

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Choose a use case for your API.
Design the API's endpoints and data model.
Implement the API using Amazon API Gateway and a serverless backend.
Test and deploy the API.

Volunteer as a Serverless Mentor

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Enhance your understanding by sharing your knowledge with others, providing guidance to beginners in serverless computing and contributing to the growth of the community.

Browse courses on Mentoring

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Identify opportunities to mentor within the serverless community, such as forums or online groups.
Offer your help to beginners.
Provide guidance and support on serverless concepts and technologies.

Career center

Learners who complete Serverless Compute and API Integration Approaches on AWS will develop knowledge and skills that may be useful to these careers:

DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. They are responsible for ensuring that software is developed and deployed quickly and efficiently. The Serverless Compute and API Integration Approaches on AWS course can be helpful for DevOps Engineers who want to learn more about serverless computing and how to use it to streamline their development and deployment processes.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers often work as part of an IT operations team and are responsible for managing an organization's cloud computing infrastructure. The Serverless Compute and API Integration Approaches on AWS course can be helpful for Cloud Engineers who want to learn more about serverless computing and how to integrate it into their existing infrastructure.

See salaries and explore the career path for Cloud Engineer

Backend Engineer

Backend Engineers are responsible for the back-end of web applications. They work with databases, servers, and other infrastructure to ensure that applications are running smoothly. The Serverless Compute and API Integration Approaches on AWS course can be helpful for Backend Engineers who want to learn more about serverless computing and how to use it to build scalable and reliable applications.

See salaries and explore the career path for Backend Engineer

Full Stack Engineer

Full Stack Engineers are responsible for both the front-end and back-end of web applications. They work with a variety of technologies to develop and deploy applications. The Serverless Compute and API Integration Approaches on AWS course can be helpful for Full Stack Engineers who want to learn more about serverless computing and how to use it to build scalable and reliable applications.

See salaries and explore the career path for Full Stack Engineer

Cloud Architect

Cloud Architects are responsible for designing, implementing, and maintaining cloud-based solutions. They work with a variety of technologies to create and implement cloud-based solutions. The Serverless Compute and API Integration Approaches on AWS course may be useful for Cloud Architects who want to learn more about serverless computing and how to use it to build scalable and reliable cloud-based solutions.

See salaries and explore the career path for Cloud Architect

Data Scientist

Data Scientists are responsible for collecting, cleaning, and analyzing data. They work with a variety of tools and technologies to extract insights from data. The Serverless Compute and API Integration Approaches on AWS course may be useful for Data Scientists who want to learn more about serverless computing and how to use it to build scalable and reliable data pipelines.

See salaries and explore the career path for Data Scientist

Network Engineer

Network Engineers are responsible for designing, implementing, and maintaining computer networks. They work with a variety of technologies to ensure that networks are running smoothly and efficiently. The Serverless Compute and API Integration Approaches on AWS course may be useful for Network Engineers who want to learn more about serverless computing and how to use it to build scalable and reliable networks.

See salaries and explore the career path for Network Engineer

Software Architect

Software Architects design, implement, and maintain software systems. They also work with other engineers to develop and implement new features. The Serverless Compute and API Integration Approaches on AWS course may be useful for Software Architects who want to learn more about serverless computing and how to use it to build scalable and reliable applications.

See salaries and explore the career path for Software Architect

Systems Engineer

Systems Engineers are responsible for designing, implementing, and maintaining computer systems. They work with a variety of technologies to ensure that systems are running smoothly and efficiently. The Serverless Compute and API Integration Approaches on AWS course may be useful for Systems Engineers who want to learn more about serverless computing and how to use it to build scalable and reliable systems.

See salaries and explore the career path for Systems Engineer

Automation Engineer

Automation Engineers are responsible for automating tasks and processes. They work with a variety of technologies to create and implement automated solutions. The Serverless Compute and API Integration Approaches on AWS course may be useful for Automation Engineers who want to learn more about serverless computing and how to use it to automate tasks and processes.

See salaries and explore the career path for Automation Engineer

Cloud Security Engineer

Cloud Security Engineers are responsible for protecting cloud-based applications and systems from unauthorized access. They work with a variety of technologies to ensure that cloud-based applications and systems are secure. The Serverless Compute and API Integration Approaches on AWS course may be useful for Cloud Security Engineers who want to learn more about serverless computing and how to use it to build secure applications and systems.

See salaries and explore the career path for Cloud Security Engineer

Security Engineer

Security Engineers are responsible for protecting computer systems and networks from unauthorized access. They work with a variety of technologies to ensure that systems and networks are secure. The Serverless Compute and API Integration Approaches on AWS course may be useful for Security Engineers who want to learn more about serverless computing and how to use it to build secure applications and systems.

See salaries and explore the career path for Security Engineer

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They work with a variety of tools and technologies to create and implement machine learning solutions. The Serverless Compute and API Integration Approaches on AWS course may be useful for Machine Learning Engineers who want to learn more about serverless computing and how to use it to build scalable and reliable machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Web Developer

Web Developers are responsible for designing, developing, and maintaining websites. They work with a variety of technologies to create and implement websites. The Serverless Compute and API Integration Approaches on AWS course may be useful for Web Developers who want to learn more about serverless computing and how to use it to build scalable and reliable websites.

See salaries and explore the career path for Web Developer

Data Engineer

Data Engineers are responsible for collecting, cleaning, and storing data. They work with a variety of tools and technologies to ensure that data is accurate and accessible. The Serverless Compute and API Integration Approaches on AWS course may be useful for Data Engineers who want to learn more about serverless computing and how to use it to build scalable and reliable data pipelines.

See salaries and explore the career path for Data Engineer

Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Serverless Compute and API Integration Approaches on AWS.

Serverless Architectures on AWS, Second Edition

Save

Provides comprehensive coverage of serverless architectures on AWS, including design principles, best practices, and real-world examples. It valuable resource for anyone looking to build or manage serverless applications on AWS.

Serverless Architectures on AWS, Second Edition

Paperback

Serverless Architectures on AWS, Second Edition

Kindle Edition

Cloud Computing

Save

Provides a comprehensive overview of cloud native architectures, covering topics such as the benefits and challenges of cloud native architectures, best practices for designing and developing cloud native applications, and case studies of real-world cloud native applications.

Cloud Computing: Concepts, Technology &...

Hardcover

(中文) Cloud Computing: Concepts. Technology and...

Paperback

Cloud Computing: Concepts, Technology &...

Kindle Edition

An Insider's Guide to Cloud Computing

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Provides a comprehensive guide to serverless computing. It covers the core concepts of serverless computing, as well as how to design, develop, and deploy serverless applications.

An Insider's Guide to Cloud Computing

Paperback

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An Insider's Guide to Cloud Computing

Kindle Edition

Check price

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Time

49 hours

Level

Intermediate

Via

Pluralsight

Instructor

David Tucker

Language

English

Good to know

Develops skills and knowledge that are applicable in a serverless architecture

Teaches how to integrate serverless applications with a compute service via API

Emphasizes the practical aspects of AWS compute services and API integration

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