01
Agent or workflow?
Compare a bounded agent task with a fixed, rule-based workflow and discuss when each may fit.
DAGZER / AI TRAINING
Build Your Own AI Agent in a Hands-On Workshop
Move from agent concepts to a working learning exercise: define a focused task, configure an agent, test its behavior, and understand its limits.
A practical, guided workshop to help participants understand an AI agent, shape a useful task, and build a small prototype with a suitable tool.
Looking for another format? Explore all AI training.
Learning path / illustrative
Build Your Own AI Agent
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
People who want to learn by building; tool familiarity and technical prerequisites are confirmed before booking.
FORMAT
Hands-on workshop
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.
- Understand what makes a task suitable for an agent
- Build and test a guided prototype
- Practice defining boundaries and review points
01 / THE CONCEPT
Understand the moving parts before you build.
Start with a plain-language view of how an AI agent receives a task, uses context or tools, and returns an output. The exercise is educational and does not promise production readiness.
02
Task definition
Turn a broad idea into a focused objective with clear inputs and an observable output.
03
Boundaries
Identify actions an agent should not take and where a person should review its work.
02 / BUILD & TEST
Learn by making a small, testable prototype.
A facilitator-guided activity walks through a simple agent setup using an appropriate tool. The platform, accounts, and specific exercise are confirmed with DAGZER before the session.
01
Configure
Set an agent role, instructions, and example inputs for the chosen exercise.
02
Try realistic prompts
Observe how changes in the request or context affect the agent’s output.
03
Review and refine
Check results, identify failure cases, and improve the instructions or handoff.
03 / TAKE IT FORWARD
Leave with a next step—not an untested promise.
Discuss what would need further validation before an agent could be used in a real process, including permissions, data, evaluation, ownership, and human oversight.
01
Evaluation
List the scenarios and quality checks that matter for the proposed task.
02
Responsible use
Consider sensitive data, access, transparency, and human decision-making.
03
Next-step plan
Capture questions and requirements for a separate prototype or implementation discussion.
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
Frame a task
Choose a focused, low-risk learning exercise.
- STEP 02
Design the agent
Define role, instructions, context, and boundaries.
- STEP 03
Build & test
Configure a prototype and try representative cases.
- STEP 04
Reflect
Review limitations and identify what production use would require.
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.
Do I need coding experience?
The listing describes a hands-on workshop but does not specify coding prerequisites. DAGZER should confirm the platform, level, and any preparation required before you book.
Will I leave with a production-ready agent?
The workshop is an educational build exercise. Production deployment requires separate validation of data, security, permissions, integrations, testing, and operational ownership.
Which tools are used?
The tool is not specified yet. It should be selected based on the participants, access requirements, and the workshop exercise, and confirmed before the session.
How long is the workshop?
Duration is to be confirmed with DAGZER based on the group size, tool setup, and workshop scope.
More ways to learn
Explore other AI training.
No-Code Automation TrainingA practical introduction to designing no-code automations around real tasks—with clear triggers, rules, testing, and ownership.Corporate AI TrainingA team-specific learning engagement shaped around your audience, roles, existing AI guidance, and the tasks employees actually do.AI Basics 101Build a clear starting point for understanding what AI can do, where it can go wrong, and how to approach it thoughtfully.
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.