Developing Serverless Solutions on AWS

Field | Description |
Purpose | To provide developers with hands-on experience in building and deploying complex, event-driven serverless applications while mastering the trade-offs, scaling patterns, and security best practices of the AWS serverless ecosystem. |
Audience | Developers who are already comfortable with AWS development and wish to specialize in serverless architectures. |
Role | Cloud Developers, Serverless Engineers, Backend Developers, and Software Architects. |
Domain | Serverless Computing / Cloud Development / Event-Driven Architecture. |
Skill Level | Intermediate. |
Style | Practice-oriented labs that progress in complexity, focusing on real-world problem-solving using official AWS documentation and modern deployment frameworks. |
Duration | 3 Days. |
Related Technologies | AWS Lambda, AWS SAM, AWS CDK, Amazon API Gateway, AWS Amplify, AWS CloudFormation, and Event-Driven Design Patterns. |
Course Description
Developing Serverless Solutions on AWS provides developers with deep exposure to building and managing applications using AWS Lambda and the broader AWS serverless platform. The course focuses on "learning how to learn," encouraging the use of official documentation to solve authentic development challenges. You will progress from simple function deployment to complex, multi-service architectures, learning how to handle state, idempotency, and concurrency. By the end of the 3-day session, you will be proficient in using AWS SAM and CDK to automate serverless deployments within a robust CI/CD pipeline.
Who is this course for
This course is intended for technical builders who have already mastered the basics of cloud development and are looking to eliminate the overhead of managing servers. It is specifically designed for:
Developers who need to build highly scalable, event-driven web or data-processing backends.
Software Architects evaluating the trade-offs of transitioning from monolithic or containerized microservices to serverless.
DevOps Professionals tasked with automating serverless release cycles and monitoring application health.
Course Objectives
Event-Driven Design: Apply best practices for designing serverless applications that react to system events.
Lambda Optimization: Master advanced function development, including environment reuse, layers, error handling, and memory configuration.
Infrastructure as Code (IaC): Compare and use AWS SAM, CDK, Amplify, and CloudFormation to define your stack.
Operational Excellence: Build deep observability and monitoring into applications to manage scaling and performance.
Security & Scaling: Apply security best practices and identify methods to manage service quotas and high-concurrency workloads.
Automated Deployment: Configure CI/CD workflows to automate the deployment and maintenance of serverless resources.
Prerequisites
Required Knowledge: Familiarity with AWS Cloud architecture and development experience equivalent to the Developing on AWS course.
Digital Training: Completion of AWS Lambda Foundations and Amazon API Gateway for Serverless Applications.
Technical Background: Proficiency in at least one high-level programming language supported by Lambda.
Course outline
Section 1: Thinking Serverless
Best practices for building modern serverless applications
Event-driven design
AWS services that support event-driven serverless applications
Section 2: API-Driven Development and Synchronous Event Sources
Characteristics of standard request/response API-based web applications
How Amazon API Gateway fits into serverless applications
Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function
High-level comparison of API types (REST/HTTP, WebSocket, GraphQL)
Section 3: Introduction to Authentication, Authorization, and Access Control
Authentication vs. Authorization
Options for authenticating to APIs using API Gateway
Amazon Cognito in serverless applications
Amazon Cognito user pools vs. federated identities
Section 4: Serverless Deployment Frameworks
Overview of imperative vs. declarative programming for infrastructure as code
Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks
Features of AWS SAM and the AWS SAM CLI for local emulation and testing
Section 5: Using Amazon EventBridge and Amazon SNS to Decouple Components
Development considerations when using asynchronous event sources
Features and use cases of Amazon EventBridge
Try-it-out exercise: Build a custom EventBridge bus and rule
Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge
Try-it-out exercise: Configure an Amazon SNS topic with filtering
Section 6: Event-Driven Development Using Queues and Streams
Hands-On Labs
Hands-On Lab 1: Deploying a Simple Serverless Application
Hands-On Lab 2: Message Fan-Out with Amazon EventBridge
Development considerations when using polling event sources to trigger Lambda functions
Distinctions between queues and streams as event sources for Lambda
Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda
Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source
Section 7: Writing Good Lambda Functions
How the Lambda lifecycle influences your function code
Best practices for your Lambda functions
Configuring a function
Function code, versions and aliases
Try-it-out exercise: Configure and test a Lambda function
Lambda error handling
Handling partial failures with queues and streams
Section 8: Step Functions for Orchestration
AWS Step Functions in serverless architectures
Try-it-out exercise: Step Functions states
The callback pattern
Standard vs. Express Workflows
Step Functions direct integrations
Try-it-out exercise: Troubleshooting a Standard Step Functions workflow
Section 9: Observability and Monitoring
Hands-On Labs
Hands-On Lab 3: Workflow Orchestration Using AWS Step Functions
Hands-On Lab 4: Observability and Monitoring
The three pillars of observability
Amazon CloudWatch Logs and Logs Insights
Writing effective log files
Try-it-out exercise: Interpreting logs
Using AWS X-Ray for observability
Try-it-out exercise: Enable X-Ray and interpret X-Ray traces
CloudWatch metrics and embedded metrics format
Try-it-out exercise: Metrics and alarms
Try-it-out exercise: ServiceLens
Section 10: Serverless Application Security
Security best practices for serverless applications
Applying security at all layers
API Gateway and application security
Lambda and application security
Protecting data in your serverless data stores
Auditing and traceability
Section 11: Handling Scale in Serverless Applications
Scaling considerations for serverless applications
Using API Gateway to manage scale
Lambda concurrency scaling
How different event sources scale with Lambda
Section 12: Automating the Deployment Pipeline
Hands-On Labs
Hands-On Lab 5: Securing Serverless Applications
Hands-On Lab 6: Serverless CI/CD on AWS
The importance of CI/CD in serverless applications
Tools in a serverless pipeline
AWS SAM features for serverless deployments
Best practices for automation
Course wrap-up

