What you’ll learn
- 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.
What does the learning look like?
- 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.
Example to try
Connect a repeated task
- 01Start with
A message, form or new file
- 02Make a first pass
A useful record in the next app
- 03Make it yours
Review the result before saving or sending
Use a fictional example to practise the workflow.
Cost, access and setup
What you’ll need
- 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
- The course ranges from basic agent concepts to advanced pipeline construction.
How you’ll learn
- Seven displayed module estimates total about 7h26 (1h, 1h, 26m, 1h, 1h, 1h, 2h).
- Self-paced Coursera course with Coursera Coach shown.
Certificate
- Shareable Coursera course certificate listed
- Not an OpenAI, n8n or automation-engineering credential.
Help along the way
- Eight assignments and Coursera Coach are shown
Instructor
- Packt - Course Instructors is shown and Packt is the provider/distributor
Course cost
Check the course page for current pricing.