Run and diagnose AWS Lambda functions through a quote processor and an upload-driven report workflow. You will connect code, configuration and resource permissions to actual function results.
The course contains five guided labs and one independent report-repair challenge. Guided practice progresses from JSON invocation to controlled releases with versions and an alias.
What You Will Learn
- Deploy a Python Zip handler and invoke it with a JSON event
- Configure environment variables and diagnose timeouts
- Read and write DynamoDB through a scoped execution role
- Process an uploaded S3 report with input/output permission boundaries
- Publish versions and move a stable alias
- Use events, logs and stored reports to repair a processor reading the wrong object
Who This Course Is For
This course is for learners ready to connect AWS storage, permissions and code in small serverless applications.
Prerequisites: Start with Get Started with AWS on LabEx, IAM roles and Find a Failed Request in CloudWatch Logs. The data-access labs additionally need DynamoDB item operations or S3 keys and prefixes. Follow the specific prerequisites in each lab; complete storage courses are not required before the first function.
Learning environment: All activities run in a provided browser-based LabEx Linux environment. Use Terminal for AWS CLI commands and AWS View, next to Terminal, to inspect the same resource and application state. Tools and the connection are prepared; you do not need a personal AWS account or access keys. Each lab starts independently in a fresh VM. Supplied handlers and application fixtures keep each task focused. Show logs opens the selected invocation stream.
Frequently Asked Questions
How do I know the function actually ran?
Compare computed results, received events, execution logs and stored data. An upload, published version or alias configuration alone does not prove that the expected implementation ran. Preserve earlier results when diagnosing failures.
Is invocation permission the same as an execution role?
No. A caller needs permission to invoke a function; the execution role governs the function’s access to resources such as a table or an S3 object. You test both boundaries.
What Lambda features are included?
The course covers Python Zip handlers, synchronous JSON calls, ordinary configuration, taught DynamoDB Put/Get operations, S3 upload notifications and single-target aliases. Weighted traffic, delivery retries and deduplication, VPC integration, concurrency tuning, production deployment automation and other runtimes are outside scope.
What should I learn next?
The first three guided labs provide the function foundation for HTTP API/Cognito and the private order API project. Each exercise starts fresh; verify owned resource cleanup before credentials are removed.
