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
Amazon Web Services
AWS Networking Basics v01.01.00s
Skills you'll gain: Network Routing, Network Troubleshooting, Network Performance Management, Network Monitoring, General Networking, Amazon Web Services, Network Planning And Design, Network Architecture, Capacity Management, Performance Tuning
4.7
Rating, 4.7 out of 5 stars
38 reviews
Beginner · Course · 1 - 4 Weeks
Whizlabs
AWS DynamoDB Fundamentals
Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Operational Databases, Database Management, Database Design, Transaction Processing, Query Languages, JSON, Data Storage, Disaster Recovery, Data Manipulation, Scalability
Beginner · Course · 1 - 3 Months
Status: Free
Amazon Web Services
Introduction to Robotics on AWS
Skills you'll gain: Amazon Web Services, Cloud-Based Integration, Cloud Engineering, Cloud Solutions, Automation, Cloud Applications
4.3
Rating, 4.3 out of 5 stars
81 reviews
Beginner · Course · 1 - 4 Weeks
Amazon Web Services
Integrating AWS with the SDK
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon DynamoDB, Amazon S3, Amazon Elastic Compute Cloud, API Gateway, Serverless Computing, Cloud API, Application Programming Interface (API), Identity and Access Management, Amazon Web Services, Authentications, Restful API, Authorization (Computing), NoSQL, Cloud Storage, Public Cloud, Data Storage
4.6
Rating, 4.6 out of 5 stars
33 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Whizlabs
Data Engineering in AWS
Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning
3.9
Rating, 3.9 out of 5 stars
22 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Amazon Web Services
Exam Prep: AWS Certified Solutions Architect - Associate
Skills you'll gain: Amazon Web Services, Cloud Computing Architecture, AWS Identity and Access Management (IAM), Solution Architecture, AWS CloudFormation, Amazon Elastic Compute Cloud, Amazon S3, Cloud Security, Software As A Service, Infrastructure Architecture, Cloud Solutions, Amazon CloudWatch, Serverless Computing, Amazon DynamoDB, Network Architecture, Scalability, Cloud Storage, Data Storage, Disaster Recovery
4.7
Rating, 4.7 out of 5 stars
217 reviews
Intermediate · Course · 1 - 3 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
Status: Free
Amazon Web Services
Developing Machine Learning Solutions
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Cloud Management, Machine Learning, Applied Machine Learning, Cloud Development, Predictive Modeling
4.5
Rating, 4.5 out of 5 stars
52 reviews
Beginner · Course · 1 - 4 Weeks
Amazon Web Services
Hands-on with AWS for IT Professionals
Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Amazon CloudWatch, Identity and Access Management, Cloud Management, Private Cloud, Cloud Computing, Cloud Computing Architecture, Public Cloud, Virtual Local Area Network (VLAN), Network Architecture, User Accounts, Personally Identifiable Information, Solution Architecture
4.8
Rating, 4.8 out of 5 stars
24 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Amazon Web Services
AWS Flash - SaaS Technical Fundamentals
Skills you'll gain: Software As A Service, Scalability, Amazon Web Services, Cloud Applications, Cloud Development, Amazon S3, Cloud Hosting, Amazon Elastic Compute Cloud, Cloud Management, Application Security, Systems Integration, Multi-Tenant Cloud Environments, Cloud Security, Performance Tuning, Load Balancing
4.8
Rating, 4.8 out of 5 stars
24 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Amazon Web Services
Migrating to the AWS Cloud
Skills you'll gain: Amazon Web Services, Data Migration, Cloud Management, Cloud Infrastructure, Cloud Security, Data Import/Export, Cloud Computing, Cloud Applications, Infrastructure Architecture
4.5
Rating, 4.5 out of 5 stars
236 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Whizlabs
Machine Learning Implementation and Operations in AWS
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Disaster Recovery, Data Security
4.3
Rating, 4.3 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks