01
Map steps and handoffs
Describe how work starts, moves between people or systems, and reaches a defined outcome.
DAGZER / AI TRAINING
No-Code Automation Training for Everyday Workflows
A practical introduction to designing no-code automations around real tasks—with clear triggers, rules, testing, and ownership.
Learn how to map a repeatable process, connect steps with a no-code automation tool, and account for errors and human review.
Looking for another format? Explore all AI training.
Learning path / illustrative
No-Code Automation Training
01
Understand
Build a clear foundation
02
Practice
Explore a relevant task
03
Review
Use human judgment
Learning outline is tailored to the audience and confirmed scope
WHO IT’S FOR
Teams or individuals exploring no-code automation; selected tools and participant experience are confirmed before training.
FORMAT
Practical training
DURATION
Duration: to be confirmed
Learning outcomes
Useful learning, with clear expectations.
The final learning objectives are confirmed with DAGZER for the audience, tools, and agreed session scope.
- Map a process before automating it
- Understand triggers, actions, and conditions
- Test exceptions and plan who maintains the workflow
01 / PROCESS THINKING
Make the process clear before connecting tools.
Automation is easier to reason about when the current steps, inputs, owners, and exceptions are visible. Training can use a suitable example or a participant-provided process.
02
Find repeatable patterns
Identify stable rules and distinguish them from steps that need human judgment.
03
Set a useful goal
Define what a good workflow should improve without assuming a particular time or cost saving.
02 / BUILDING BLOCKS
Learn how a no-code workflow is assembled.
The exact interface depends on the tool selected for the session. The underlying concepts apply broadly, but connectors and feature availability vary by platform and plan.
01
Trigger and action
Understand what starts a workflow and what action follows.
02
Conditions and routing
Use simple rules to direct work and make branching behavior understandable.
03
Data between steps
Recognize what information passes between steps and where access should be limited.
03 / TEST & MAINTAIN
Plan for what happens when something changes.
A workflow needs an owner and a way to handle missed inputs, changed systems, and cases that do not match the expected pattern.
01
Test cases
Try normal, incomplete, and unexpected inputs before relying on a workflow.
02
Errors and exceptions
Identify how failures are surfaced and when someone needs to intervene.
03
Ongoing ownership
Plan who checks, updates, and documents the automation over time.
How the learning flows
A guided path from introduction to reflection.
This is a learning outline, not a fixed agenda. Order, timing, exercises, and materials are confirmed for the final session.
- STEP 01
Map a workflow
Choose a repeatable process and make its steps visible.
- STEP 02
Design the logic
Identify triggers, actions, conditions, and review points.
- STEP 03
Build a practice flow
Use the selected no-code platform to assemble a small example.
- STEP 04
Test & maintain
Check exceptions and identify ongoing ownership needs.
Format & investment
Tailored to the people taking part.
Audience, tools, access requirements, preparation, group size, and final agenda should be agreed before the session.
Pricing: Custom quote
For sessions where duration or tool requirements are not listed above, DAGZER will confirm those details during scoping.
Before you enquire
Training questions.
Need to confirm a detail for your group? Ask DAGZER about this session.
Which automation platform will the training use?
The platform is not specified. DAGZER should confirm it based on your current tools, access, licensing, and learning objectives before training.
Do participants need a paid account?
That depends on the platform and exercise. Account requirements, licensing, and any setup steps should be confirmed before the session.
Can we train on our own workflow?
A participant workflow can make the material more relevant, subject to scope and suitability. Avoid sharing sensitive or personal data in training materials unless its use is approved.
Does this training include implementation?
The menu describes training. Building, deploying, or supporting a production workflow would need to be separately scoped and agreed.
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Plan a learning session
Tell us who’s learning and what they need.
We’ll discuss audience, objectives, tools, timing, and the right format for your group.