Academyby Code2Deploy
All courses
Intermediate

Workflow Automation with AI

Automate the repetitive parts of a business using workflow tools and LLMs, without writing a full application.

What you'll be able to do

  • Automate a multi-step business process end to end
  • Connect systems that were never designed to talk to each other
  • Use an LLM as a step in a workflow, with a fallback when it is wrong
  • Self-host the automation platform rather than renting it per task

Modules

  1. 01
    Finding what is worth automatingProcess mapping, measuring manual effort, deciding what should stay human
  2. 02
    Workflow platformsn8n in depth, triggers, branching, error handling, retries, queueing, self-hosting with Docker
  3. 03
    IntegrationsREST and webhooks, authentication and token refresh, pagination, rate limits, idempotency
  4. 04
    AI steps in a workflowExtraction, classification, summarisation, structured output, validating what the model returns
  5. 05
    Documents and dataOCR, parsing invoices and forms, spreadsheet and database sync, deduplication
  6. 06
    Running it in productionMonitoring runs, alerting on failure, secrets handling, cost control, audit trail

Capstone

Automate a real business process end to end — intake, AI-assisted processing, human approval and system update — running on infrastructure you deployed.