Web development and API integration
Integrating APIs and AI into your web applications
Consume and expose REST APIs, handle webhooks and integrate an AI model safely and under control.
Request a quote- Level
- Advanced
- Indicative duration
- 28 h
- Format
- Online · On-site
- Language
- French
- Price
- On quotation
Learning objectives
By the end of this course, you will be able to design and build integrations with third-party APIs (payment, CRM, messaging, email) and AI model APIs in a web application: authentication, error handling, webhooks, secret management and cost control.
The course is firmly hands-on. Examples are given in JavaScript (Node.js) and PHP, the two environments we come across most often in web projects; participants work in the language of their choice. We cover consuming REST APIs, exposing a clean, documented API, receiving reliable webhooks and orchestrating asynchronous processing.
The last third is devoted to integrating a language model through an API: structuring calls, JSON outputs, tool calling, limiting costs, caching, protection against prompt injection and logging. The final project is to add an AI-assisted feature to an existing or provided application.
Who it is for
Prerequisites
Skills you will gain
Programme
HTTP refresher and REST design
4 h- Methods, status codes, headers, idempotency
- Resources, URLs and API versioning
- Reading API documentation efficiently
- Tools: HTTP clients, request collections
Consuming third-party APIs
5 h- Authentication: API keys, OAuth 2.0, tokens
- Pagination, rate limits and retries with backoff
- Error and timeout handling
- Case study: CRM, email service, messaging
Exposing your own API
5 h- Designing endpoints and formats
- Input validation and error messages
- OpenAPI documentation
- Authentication and access control
Webhooks and asynchronous processing
5 h- Receiving a webhook: signature verification, fast response
- Idempotency and duplicate handling
- Queues and background jobs
- Orchestration with a tool such as n8n where it makes sense
Integrating an AI model
5 h- Calling a model API: messages, parameters, model choice
- Structured JSON outputs and validation
- Tool calling and chaining steps
- Costs: tokens, caching, per-user limits
- Risks: prompt injection, data leakage, inaccurate answers
Going to production and project
4 h- Secret and environment management
- Integration tests and API mocks
- Logging, monitoring and alerts
- Final project: presentation and code review
Exercises and projects
Upcoming sessions
No public session is scheduled yet. Leave a request: we will let you know as soon as a date is set, or organise a session for your team.
How to enrol
How to enrol
- Fill in the enrolment request form on this page (name, email, phone, current role and expectations).
- We reply by email to check that the course matches your level and to share practical details.
- Scheduled sessions are announced on this page as soon as they are planned; if no date is shown, your request is recorded and you will be notified when the next session opens.
- Your enrolment is final once confirmed in writing by email.
Companies: to enrol several employees or arrange a dedicated in-house session, mention it in the form and we will send you a quote.
