AI Automation Engineering
Design and build automated systems using AI-driven tools and workflow platforms.
Automation engineers turn repetitive, manual work into reliable systems that run themselves. Here you learn how to map business processes, wire together workflow platforms and drop AI into the steps that need judgement, like classification, extraction and summarisation. You work through real automation scenarios end to end, from a first working trigger to a monitored, production-ready pipeline.
Curriculum
Eight weekends, module by module
Foundations of AI automation
Core concepts of workflow automation and where AI fits in.
Mapping business processes
Identify repetitive tasks and design automation-ready workflows.
Workflow platforms
Build your first automations with industry-standard tools.
AI-driven decision steps
Add AI nodes for classification, extraction and summarisation.
Integrations and APIs
Connect automations to external services and internal systems.
Error handling and monitoring
Build resilient automations with logging and alerts.
Scaling automations
Manage multiple workflows, environments and access control.
Capstone
Ship a production-ready automation that solves a real business problem.
Output
What you'll build
A working end-to-end automation pipeline
An AI-powered decision or classification step
An integration connecting two or more systems
A monitored, production-ready workflow
Audience
Who it's for
Operations specialists
Professionals automating repetitive manual processes.
Technical professionals
Developers and analysts who want AI in their toolkit.
Career switchers
People moving into automation and AI engineering roles.
Also available
Other programmes
Ready to transform your career?
Join 18,000+ students who have already taken the first step towards a data-driven career.
Enroll now