AI Workflow Automation

6 Interactive Sessions

Short, interactive sessions: watch it work, try it, then build it yourself. You can go deeper at any time in the written chapters.

1. 1

   Catch every event before you act on it

   Before any AI step can read a ticket, the ticket has to be received, checked and written down. Build on events, not direct calls.

2. 2

   Four AI steps with one shape

   A ticket needs four jobs done: classify, summarise, extract and draft. Make each one a small node with the same shape, and any workflow can put them together.

3. 3

   A workflow is a map of steps

   The four nodes do not run in a fixed line. Some can run at once, one has to wait for the others, and some run only when the ticket calls for them. That map is a DAG, and the engine walks it.

4. 4

   When a step fails, try again, then park it

   Steps fail. Try again with growing waits, stop calling a service that is down, park whatever still fails for a person, and make sure a ticket sent twice gets one reply.

5. 5

   See what your automation did

   An automation works when nobody is watching, so it also fails when nobody is watching. A dashboard shows every run, step by step, so anyone can answer “what happened to this ticket?”

6. 6

   Run it safely at real volume

   A busy morning brings a flood of tickets at once. Production needs four more things: limits that smooth the flood, a running cost, alerts that reach a person, and a record of every action the automation takes.

How this certificate is scored

Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.

• You answer 6 short questions, one for each module, in your own words (at least 40 words each).
• An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
• To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.

The rubric

1. Module 1, Event System: Webhook receiver + event bus + validation.
2. Module 2, AI Processing Nodes: Classifier, summarizer, extractor, generator.
3. Module 3, Workflow Engine: DAG executor + conditional routing.
4. Module 4, Reliability: Retry, circuit breaker, DLQ, idempotency.
5. Module 5, Automation App: Dashboard + execution timeline.
6. Module 6, Production Pipeline: Rate limiting + cost tracking + alerts.

What you walk away with