Audience
- Developers beginning to connect web services and business applications.
- Analysts or automation specialists working with API-based integrations.
- Technical project staff who need to specify integration requirements clearly.
AI & technology
Learn how software systems exchange information and how to connect them reliably.
Learn how applications exchange information and how to design integrations that remain understandable when things go wrong. This module starts with the structure of an HTTP request and develops towards a small service connecting two business systems. You will work with data contracts, credentials, validation and the practical consequences of repeated or unsuccessful requests.
The project follows a customer enquiry between an intake application and a CRM-style service. You will map fields, handle pagination, process events and test recovery from failures. Throughout the module, the focus is on reliable boundaries: knowing what a system promises, what it is allowed to access and how both sides recognise a successful outcome.
Explore the focus and practical output of each teaching session. Open individual sessions below, or expand the complete plan.
Map an enquiry journey across applications and identify the information and actions each interface must support.
Practical output: An integration brief and system map.
Inspect methods, paths, headers and status codes through practical requests to a controlled teaching service.
Practical output: An annotated request-and-response collection.
Define field names, types and required values, then identify mismatches between two applications’ records.
Practical output: A data contract and field-mapping table.
Use a service description to construct valid requests and recognise limits, optional parameters and error conventions.
Practical output: A documented integration test collection.
Explore credential use and permission checks, keeping secret values out of browser code and shared examples.
Practical output: An access model and credential-handling plan.
Specify create, read and update operations with clear validation and predictable response structures.
Practical output: An API specification and example payloads.
Build a small service and test both valid inputs and requests that must be rejected.
Practical output: A working validated API.
Retrieve records in manageable batches and define stable behaviour for searching and ordering results.
Practical output: A paginated integration routine.
Receive an event, validate its origin and content, and distinguish acceptance from completion of downstream processing.
Practical output: A controlled webhook handler.
Simulate timeouts and repeated requests, then prevent duplicate records or repeated consequential actions.
Practical output: A retry and duplication test report.
Handle throttling and unavailable services with sensible delays, clear errors and a recoverable workflow.
Practical output: A failure-handling strategy.
Add integration tests and useful diagnostic records, then plan how a changed contract would be introduced.
Practical output: A test suite and change-management note.
Connect intake, validation and CRM updates into an end-to-end workflow with a visible processing outcome.
Practical output: A complete business integration.
Demonstrate normal and failed requests and explain how a colleague can configure, test and support the service.
Practical output: An API handover pack and final review.
Apply the learning
Create a small intake API and connect it to a controlled CRM-style destination. Validate incoming records, map the data and expose a clear result. Include a duplicate submission and an unavailable destination in your demonstration so that the reliability of the integration is visible, not merely asserted.
Use anonymised, public or suitable synthetic material where workplace information is confidential. The issued assessment brief confirms the required evidence.
Teaching and the relevant course certificate are provided through Kent Business College in the UK. Completion requirements are set out in the module information; attendance alone should not be assumed to meet every assessment requirement.
Basic coding is enough to begin. The module develops API concepts step by step, but you should be comfortable editing and running small programs.
Yes. Understanding requests, credentials and data contracts helps you use visual automation platforms and diagnose integrations that do not behave as expected.
No. The core project uses controlled teaching services or test accounts. Production access is unnecessary for demonstrating the required skills.