What the course covers

  • Seven modules move from agent concepts and a personal-assistant demonstration to n8n interface/workflows, trigger events and credentials, data flow/JSON, Gmail text classification and labels, multi-level email-response pipelines, and a Google Calendar meeting/task scheduler with configurable agent nodes and prompts.

Practice & assessment

Eight assignments are listed. Modules name a demonstrated personal assistant, Gmail labels/classifier, email-response agent and end-to-end Google Calendar scheduler; course descriptions also mention practical exercises and prompt testing. The module material references an OpenAI API key, JSON data, event triggers and configurable workflow nodes; no completed automation was independently exercised.

Time, cost & access

Format
Self-paced
Delivery & schedule
Self-paced Coursera course with Coursera Coach shown. Course-specific access/trial eligibility and current billing were not captured.
Time
Seven displayed module estimates total about 7 h 26 (1 h, 1 h, 26 m, 1 h, 1 h, 1 h, 2 h). This is the sum of module-level estimates.
Fee
Course fee, currency, tax, Coursera Plus/trial access, n8n hosting/license and OpenAI API costs were not captured; no checkout opened.
Teaching language
English
Entry requirements
Uses n8n, Google Calendar, Gmail and an OpenAI API key; covers triggers, JSON, credentials and function-code workflow nodes. Course description says no-code in one lesson but still expects technical setup/API credentials; no plan or API cost is stated. The course ranges from basic agent concepts to advanced pipeline construction.
Credential
Shareable Coursera course certificate advertised; not an OpenAI, n8n or automation-engineering credential.

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Provider sources & recorded check dates