Amazon Web Services (AWS) Lambda is a serverless computing service. While that seems to imply that no servers are involved, it actually means that AWS provides the servers businesses and other clients need to power their code-based activities on the Web. The client supplies the code, and Lambda runs the code for virtually any type of backend service or application. Lambda accepts a variety of code languages, including Node.js, Python, Ruby, Java, .NET, and Go. Once the code is written, AWS Lambda runs it when needed in response to events, such as HTTP requests using Amazon API Gateway, changes in data to an Amazon S3 bucket or DaynamoDB table, or process streaming data stored in Amazon Kinesis. AWS essentially takes the administrative responsibilities out of the hands of the client and provides services such as monitoring fleet health, applying security patches, and provisioning capacity as well as deploying code.

What career opportunities can arise from learning AWS Lambda?

Learning AWS Lambda can help you qualify for a variety of AWS positions, including AWS engineer, AWS Glue data engineer, AWS DevOps engineer, AWS cloud data engineer, and AWS infrastructure support. You might also pursue a career as a full-stack Java developer with AWS Lambda or an AWS consultant. Outside of the AWS arena, career opportunities that can arise from learning AWS Lambda also include software engineer, backend engineer, and DevOps engineer.

How can taking online courses on Coursera help me learn AWS Lambda?

By taking online courses on Coursera, you can understand the basics of AWS Lambda, learn how to create a lambda function in Python and other languages, create an API gateway, create an Amazon S3 bucket and upload front-end code to it, and make a website accessible from the internet by enabling website hosting on S3 using AWS Lambda. You also have the opportunity to learn how to build a RESTful API application using AWS Lambda and understand how to access error logs and monitor server performance. Learning AWS Lambda through online courses can also give you a better understanding of the various services provided by AWS beyond Lambda.

What are the benefits of taking an online AWS Lambda course?

Online AWS Lambda courses offer a convenient and flexible way to enhance your existing knowledge or learn new AWS Lambda skills. With a wide range of AWS Lambda classes, you can conveniently learn at your own pace to advance your AWS Lambda career skills.

What AWS Lambda courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in AWS Lambda, 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 Aws Lambda Courses - Learn Aws Lambda Online

Explore the AWS Lambda Course Catalog

Status: Free Trial
Packt
AWS, JavaScript, React - Deploy Web Apps on the Cloud
Skills you'll gain: AWS Identity and Access Management (IAM), Linux Administration, Amazon Elastic Compute Cloud, Identity and Access Management, Cloud Computing, Cloud Infrastructure, Amazon Web Services, Linux Servers, Cloud Hosting, Cloud Platforms, Cloud Management, React.js, Full-Stack Web Development, Linux, Scalability, Javascript, Application Development, User Interface (UI), Web Development, Restful API
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Packt
AWS Certified Data Analytics Specialty (2023) Hands-on
Skills you'll gain: Amazon DynamoDB, Amazon S3, AWS Kinesis, Amazon Redshift, AWS SageMaker, Data Warehousing, Real Time Data, Apache Hadoop, Amazon CloudWatch, Apache Spark, Cloud Storage, Data Visualization, Data Pipelines, Data Management, Dashboard, Apache Hive, Data Visualization Software, AWS Identity and Access Management (IAM), Data Processing, Data Storage
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Whizlabs
AWS: Application Integration and Networking
Skills you'll gain: Apache Airflow, Amazon Web Services, Cloud Engineering, Cloud-Native Computing, Network Architecture, Virtual Private Networks (VPN), Network Routing, Data Pipelines, Network Security, Microservices, Event-Driven Programming, Scalability
Intermediate · Course · 1 - 4 Weeks
Whizlabs
Exam Prep: HashiCorp Certified Terraform Associate (003)
Skills you'll gain: Terraform, Infrastructure as Code (IaC), AWS CloudFormation, Cloud Infrastructure, Cloud Platforms, Amazon Web Services, Amazon Elastic Compute Cloud, Cloud Computing, Amazon S3, Version Control
3.2
Rating, 3.2 out of 5 stars
18 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Whizlabs
AWS: Databases
Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Databases, Database Architecture and Administration, Relational Databases, Apache Cassandra, NoSQL, Amazon S3, Data Warehousing, SQL, Redis
Intermediate · Course · 1 - 4 Weeks
Status: Free
Amazon Web Services
Building a Generative AI-Ready Organization
Skills you'll gain: Generative AI Agents, Strategic Decision-Making, Data-Driven Decision-Making, Business Leadership, Organizational Strategy, Business Transformation, Innovation, Business Strategy, Business Strategies, Operational Efficiency, Technology Strategies, Business Process Automation, Program Implementation, Project Implementation, Technology Solutions, Competitive Analysis
4.4
Rating, 4.4 out of 5 stars
67 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
AWS Cloudfront: Serve content from multiple S3 buckets
Skills you'll gain: Amazon S3, Amazon Web Services, Cloud Hosting, Content Management Systems, Load Balancing, System Configuration
4.7
Rating, 4.7 out of 5 stars
80 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Duke University
Cloud Data Engineering
Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon Web Services, Command-Line Interface, Data Processing, Continuous Integration, Python Programming, Data Governance, Rust (Programming Language), Unix Commands
4.1
Rating, 4.1 out of 5 stars
81 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
AWS AutoGluon for Machine Learning Classification
Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Packt
AWS Data Collection and Storage
Skills you'll gain: Amazon DynamoDB, Amazon S3, AWS Kinesis, Amazon CloudWatch, Cloud Storage, Data Pipelines, Data Management, AWS Identity and Access Management (IAM), Data Storage, Real Time Data, Scalability, Encryption
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
M2M & IoT Interface Design & Protocols for Embedded Systems
Skills you'll gain: Internet Of Things, API Design, Amazon Web Services, Cloud Computing Architecture, Application Programming Interface (API), Network Protocols, Microservices, Cloud Services, Embedded Systems, Serverless Computing, Cloud Technologies, Cybersecurity, Software Development, Public Cloud, Node.JS
4.6
Rating, 4.6 out of 5 stars
122 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Semantic Segmentation with Amazon Sagemaker
Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Data Processing, Computer Vision
4.6
Rating, 4.6 out of 5 stars
92 reviews
Advanced · Guided Project · Less Than 2 Hours