Serverless Computing
Build and run applications without managing servers. Master Functions-as-a-Service (FaaS) platforms like AWS Lambda, Azure Functions, and Google Cloud Functions.
58 courses
Learn to build, deploy, and scale modern cloud applications using AWS Lambda, API Gateway, and DynamoDB through clear written explanations and practical code examples.
Build scalable, cost-effective cloud applications using event-driven architectures and automated workflows without managing underlying infrastructure.
Build modern cloud data pipelines, run serverless queries, and design visual dashboards using AWS analytics services.
Master AWS Lambda fundamentals and build event-driven serverless applications using API Gateway, SQS, and AWS CDK through step-by-step written guides.
Learn to design, secure, and deploy scalable serverless web applications using AWS AppSync, Amplify, and React with modern GraphQL APIs.
Build scalable, event-driven serverless architectures on AWS using Lambda, API Gateway, DynamoDB, EventBridge, and CDK for infrastructure as code.
Build and manage resilient distributed applications by learning to coordinate microservices and serverless functions using state machines and automated workflows.
Build and deploy scalable Java-based RESTful services using Lambda, API Gateway, and automated CI/CD pipelines without managing servers.
Learn to develop scalable serverless solutions and integrate Generative AI using Python, Boto3, and AWS cloud services.
Master core services like Lambda, API Gateway, and DynamoDB to build and deploy modern, event-driven applications from scratch.
Build scalable cloud applications and automate business processes using serverless computing and low-code integration workflows.
Master AWS Lambda to build, deploy, and scale high-performance serverless applications using C# and modern .NET development practices.
Master the fundamentals of Azure Functions to build, scale, and deploy event-driven serverless applications in the cloud with no prior serverless experience required.
Learn to package and deploy your ML models as scalable, cost-effective APIs using AWS Lambda and the Serverless Framework.
Learn to build and deploy scalable serverless backends using Python on Cloud Platform, moving from foundational concepts to secure, scheduled cloud deployments.
Learn to design, deploy, and manage scalable cloud applications using AWS Lambda, DynamoDB, and API Gateway to build a modern, event-driven multi-store backend.
Learn to build, deploy, and optimize scalable serverless APIs using Java and AWS Lambda without the overhead of managing server infrastructure.
Learn to build, test, and deploy scalable serverless applications using C# and the modern .NET ecosystem on AWS.
Master the core concepts of serverless architecture and learn to deploy scalable cloud applications using AWS Lambda without the overhead of managing servers.
Build serverless real-time data pipelines to ingest, process, and analyze continuous data streams using AWS Kinesis and Lambda.
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