About this course
This upcoming course is designed for professionals and small teams who already understand the basics of generative AI and want to connect tools into repeatable workflows. The focus will be on identifying repetitive work, mapping processes, choosing automation tools and keeping human review where it matters.
Planned curriculum
8 lessons in teaching order. Lessons open when the course launches, once their faculty-led teaching videos are recorded and verified.
01Which Work Is Worth Automating
- List the repeated tasks in your week and how long each takes
- Apply five tests to decide whether a task is a good candidate
- Choose a first automation that is small, safe and measurable
02Triggers, Actions and Data: How a Workflow Fits Together
- Name the parts of a workflow: trigger, conditions, actions and data fields
- Map how data moves from one step to the next
- Sketch a workflow on paper before opening any tool
03Choosing a No-Code Tool
- List the criteria that matter when choosing an automation tool
- Compare two or three tools on your own workflow rather than on a features list
- Check cost, privacy and the ability to leave before you commit
04Building Your First Workflow
- Build a small workflow one step at a time, testing after each step
- Use made-up test data before touching real data
- Record what you built so someone else could maintain it
05Adding AI Steps Safely
- Choose where an AI step helps: classify, extract, summarise or draft
- Write an AI step instruction that returns a predictable, checkable result
- Add a human review before anything external happens
- Treat incoming text as untrusted when an AI step reads it
06Testing, Errors and Edge Cases
- Write a test plan with normal, empty, long and unusual inputs
- Set up error alerts and read the run log
- Prevent duplicate actions and plan what happens when a step fails
07Privacy, Permissions and Approvals
- Draw where data goes in your workflow and who can see it
- Apply least privilege to the accounts and connections it uses
- Decide which actions need a person's approval
08Measuring, Maintaining and Documenting
- Measure the time an automation actually saves, including the checking it needs
- Set an owner, a review date and a monitoring routine
- Write a runbook that someone else can follow
Resources included at launch
7 resources, provided inside the course once it opens.
- Automation opportunity scorecardEXCEL WORKBOOK
A spreadsheet that totals the time your repeated tasks take and scores each against five tests.
- Workflow design canvasPDF DOCUMENT
A one-page canvas for sketching a workflow before building it: trigger, steps, fields, conditions and checks.
- Automation tool selection matrixEXCEL WORKBOOK
A weighted matrix for comparing up to three automation tools on your own workflow, with a blocking-constraint check.
- AI step instruction and test sheetPDF DOCUMENT
A template for writing an AI step's instruction with a fixed output, plus a test table that includes tricky inputs.
- Automation test plan and error checklistPDF DOCUMENT
A test plan covering normal, empty, long, odd, duplicate and failure cases, with an error and alert checklist.
- Data flow and approval reviewPDF DOCUMENT
A review sheet for mapping where data goes, trimming fields, setting permissions and deciding what needs approval.
- Automation runbook templatePDF DOCUMENT
A one-page runbook for any workflow: purpose, trigger, owner, health checks, failure steps and how to switch it off.
Downloads are not available from this page.
Start with the fundamentals first
If you are new to workplace AI, begin with AI Skills for Work — Become 2× More Productive With AI. It covers AI fundamentals, prompt writing, tool selection, research, communication and responsible workplace use.
Related resources
Before choosing an advanced course, read our practical AI tools for work guide to understand common tools and the tasks they are best suited for.
Quick answers
- Can I take No-Code AI Automation now?
- Not yet. It is Coming soon: the faculty-led teaching videos are still being prepared, and purchases are not open.
- How will it be taught?
- Each lesson is planned as a faculty-led video with a short written summary, hands-on practice, a quiz and resources. The full written lesson text stays internal.
- What device do I need?
- You can read lessons and plan your work on a phone, but some exercises need a computer with desktop software such as a spreadsheet, document or presentation editor.
- How does access work?
- Courses are a one-time purchase with lifetime access to the content included when you buy. It is not a subscription, and it does not include courses released later unless they are named in what you bought.
- Is there a certificate?
- Students who mark every lesson complete can receive a certificate of completion. It confirms completion; it does not certify assessed practical competence.
Learning resources for every course are listed on the Learning Resources page, and you can read more about how AcademyGen teaches.
Language: the lessons, practice and resources are in English. Other languages aren’t available yet.