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

Amazon Web Services
AWS Cloud Technology Consultant
Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6.5K reviews
Beginner · Professional Certificate · 3 - 6 Months
Amazon Web Services
AWS Cloud Support Associate
Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Command-Line Interface, Amazon CloudWatch, AWS CloudFormation, Root Cause Analysis, Amazon DynamoDB, Customer Relationship Building, Network Troubleshooting, Amazon Web Services, Customer Relationship Management, Software Architecture, IT Automation, Linux Commands, Cloud Computing, Linux, Amazon S3, Scalability, Technical Support, Web Applications
4.8
Rating, 4.8 out of 5 stars
6.3K reviews
Beginner · Professional Certificate · 3 - 6 Months
Amazon Web Services
Data Analytics and Databases on AWS
Skills you'll gain: Extract, Transform, Load, Data-Driven Decision-Making, Amazon Web Services, Data Warehousing, Big Data, Databases, Business Analytics, NoSQL, Data Analysis, Data Pipelines, Unstructured Data, Data Processing, Cloud API, SQL, Data Storage, Relational Databases, Data Transformation, Data Visualization Software
4.7
Rating, 4.7 out of 5 stars
52 reviews
Beginner · Course · 1 - 4 Weeks
Amazon Web Services
Introduction to Machine Learning on AWS
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing
4.5
Rating, 4.5 out of 5 stars
136 reviews
Beginner · Course · 1 - 4 Weeks
LearnKartS
AWS Solutions Architect - Associate
Skills you'll gain: AWS Identity and Access Management (IAM), Disaster Recovery, Amazon Web Services, Amazon Elastic Compute Cloud, Serverless Computing, Cloud Computing Architecture, Amazon S3, Identity and Access Management, Solution Architecture, Amazon DynamoDB, Amazon CloudWatch, Cloud Computing, Public Cloud, Containerization, Kubernetes, Cloud Security, Cloud Solutions, Software Architecture, Systems Architecture, Cloud Infrastructure
3.9
Rating, 3.9 out of 5 stars
27 reviews
Intermediate · Specialization · 1 - 3 Months
Whizlabs
Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate
Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Cloud Engineering
4.6
Rating, 4.6 out of 5 stars
11 reviews
Intermediate · Specialization · 3 - 6 Months
Amazon Web Services
Exam Prep: AWS Certified Cloud Practitioner Foundations
Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Security, Cloud Services, Amazon S3, Cloud Computing, Infrastructure As A Service (IaaS), Scalability
4.6
Rating, 4.6 out of 5 stars
105 reviews
Beginner · Course · 1 - 4 Weeks
Amazon Web Services
Getting Started with Data Analytics on AWS
Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing
4.5
Rating, 4.5 out of 5 stars
888 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)
4
Rating, 4 out of 5 stars
205 reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Python 3 Programming
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Data Import/Export, Restful API, Python Programming, Image Analysis, Data Manipulation, Jupyter, Maintainability, Data Structures, Software Engineering, File Management
4.8
Rating, 4.8 out of 5 stars
23K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
MLOps | Machine Learning Operations
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
4.2
Rating, 4.2 out of 5 stars
450 reviews
Advanced · Specialization · 3 - 6 Months
Duke University
Large Language Model Operations (LLMOps)
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing
4.4
Rating, 4.4 out of 5 stars
177 reviews
Beginner · Specialization · 3 - 6 Months