What is a serverless API?

API stands for application programming interface—which is a type of software that lets two applications talk to each other—and a serverless API uses third-party servers to provide cloud computing resources on demand. In other words, a client who uses a serverless API does not have to provide or maintain its own servers in order to run custom code, and they don't have to run code all the time—only when needed. These third-party services are referred to as backend as a service (BaaS) services. The benefits of using a serverless API include lower operational costs and engineering lead time as well as increased simplicity for the client. Examples of serverless APIs include AWS Lambda, Google Cloud Functions, and Microsoft Azure.

What are typical careers that use serverless APIs?

Positions that typically use knowledge of serverless APIs include software engineer, JavaScript full-stack developer, front-end developer, backend developer, Python developer, AWS architect, and custom cloud engineer. These jobs are often available on a freelance basis or working remotely as well as full-time career-based employment. Anyone who wants to work in careers with Amazon Web Services (AWS) also needs a knowledge of serverless APIs.

How can taking online courses on Coursera help me learn about serverless APIs?

Taking online courses on Coursera can give you the opportunity to learn about the languages that are used in creating serverless APIs, including Java, Node.js, and Python. You can also learn about specific serverless APIs like Amazon Lambda. With certain courses on Coursera, you can learn how to build a serverless API, such as a RESTful serverless API on AWS, which can give you experience using CloudFormation, Lambda, and API Gateway. You also have the option of learning more about cloud computing, machine learning, and Amazon Web Services, which can enhance your understanding of serverless APIs. This can include using real-world examples of a serverless website to build your knowledge and skillset.

What are the benefits of taking an online Serverless Api course?

Online Serverless Api courses offer a convenient and flexible way to enhance your knowledge or learn new Serverless Api skills. Choose from a wide range of Serverless Api courses offered by top universities and industry leaders tailored to various skill levels.

What Serverless Api courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Serverless Api, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Serverless Api Courses - Learn Serverless Api Online

Explore the Serverless API Course Catalog

Status: Free Trial
University of London
Responsive Website Tutorial and Examples
Skills you'll gain: Web Applications, Interactive Data Visualization, JavaScript Frameworks, Responsive Web Design, Collaborative Software, User Interface (UI) Design, Full-Stack Web Development, Front-End Web Development, Data Integration, Databases, User Requirements Documents, Real Time Data
4.2
Rating, 4.2 out of 5 stars
280 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Whizlabs
Exam Prep: AWS Certified DevOps Engineer - Professional
Skills you'll gain: Amazon Web Services, Containerization, AWS CloudFormation, Infrastructure as Code (IaC), Amazon CloudWatch, CI/CD, Kubernetes, Docker (Software), Cloud-Native Computing, Cloud Infrastructure, Application Deployment, Serverless Computing, Software Development Life Cycle, Configuration Management, Disaster Recovery, Continuous Deployment, Amazon Elastic Compute Cloud, Cloud Management, Firewall, Devops Tools
4.5
Rating, 4.5 out of 5 stars
24 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
MLOps Platforms: Amazon SageMaker and Azure ML
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization
3.6
Rating, 3.6 out of 5 stars
48 reviews
Advanced · Course · 1 - 3 Months
Microsoft
Develop an ASP.NET Core web app that consumes an API
Skills you'll gain: ASP.NET, C# (Programming Language), Microsoft Visual Studio, Application Programming Interface (API), Web Development Tools, Restful API, Microsoft Azure, Web Applications, Application Development, Development Environment
2.6
Rating, 2.6 out of 5 stars
12 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro
Skills you'll gain: Dataflow, Data Warehousing, Data Pipelines, Big Data, Google Cloud Platform, Data Processing, Query Languages, Data Import/Export, Data Analysis, SQL, Scalability, Data Transformation, Data Manipulation, Serverless Computing, Performance Tuning
4.6
Rating, 4.6 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
MLOps Tools: MLflow and Hugging Face
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Applications, Development Environment, GitHub, Application Programming Interface (API)
3.7
Rating, 3.7 out of 5 stars
51 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Developing Applications with Google Cloud
Skills you'll gain: Cloud Applications, Application Deployment, Application Development, Microservices, Google Cloud Platform, Authentications, Generative AI, Serverless Computing, Cloud Development, Cloud API, Data Storage, Platform As A Service (PaaS), Authorization (Computing), CI/CD, Software Architecture, Event-Driven Programming, Cloud Computing, Application Performance Management, Cloud Storage, Service Oriented Architecture
4.6
Rating, 4.6 out of 5 stars
26 reviews
Intermediate · Specialization · 3 - 6 Months
Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API
4.8
Rating, 4.8 out of 5 stars
26 reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Amazon
Full Stack Web Development
Skills you'll gain: Full-Stack Web Development, Restful API, Front-End Web Development, Web Services, Application Deployment, Web Development, Spring Framework, Amazon Web Services, HTML and CSS, Application Programming Interface (API), Server Side, Web Applications, Back-End Web Development, Spring Boot, Model View Controller, Responsive Web Design, Javascript
4.5
Rating, 4.5 out of 5 stars
12 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Minimal API Development with ASP.NET Core
Skills you'll gain: Restful API, Postman API Platform, ASP.NET, API Design, Application Programming Interface (API), .NET Framework, Authentications, Object-Relational Mapping, Development Environment, Microsoft Development Tools, Microsoft Visual Studio, C# (Programming Language), Endpoint Security, Database Design, Data Mapping, Data Validation
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Bases de Inteligencia Artificial para Todos
Skills you'll gain: Computer Vision, Dashboard, IBM Cloud, Artificial Intelligence, Data Ethics, Image Analysis, ChatGPT, Software Testing, Application Development, Interactive Data Visualization, Business Workflow Analysis, Data Manipulation, Artificial Neural Networks, Cloud Applications, Application Programming Interface (API), Data Structures, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Python Programming, Usability
4.7
Rating, 4.7 out of 5 stars
448 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Duke University
Cloud Machine Learning Engineering and MLOps
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
4.5
Rating, 4.5 out of 5 stars
84 reviews
Intermediate · Course · 1 - 4 Weeks