AIZOYA Learning

Practical AI learning. Built by AIZOYA.

Original lessons and hands-on projects to help you put technology to work. Try our free sample while we develop the learning membership.

Monthly membership in development. Paid enrollment is not open.

Try a free lesson Discuss team training

Learning paths in development

Start with a skill you can use.

These are proposed offerings. Enrollment is not open. Format, duration, price, dates and availability will be confirmed before any purchase.

Proposed training

Practical AI at work

For business owners and teams · Beginner

Target learning outcome

Identify one useful AI task, write a clear instruction and review the output.

Explore the proposed outline

Choose a task and define success
Provide useful context without private data
Check accuracy and decide what needs human review

Proposed training

Build a workflow worth testing

For operators and project leads · Introductory

Target learning outcome

Map a repeatable process and define a bounded prototype.

Explore the proposed outline

Map inputs, decisions and handoffs
Set limits and approval points
Define examples and acceptance checks

Proposed training

Evaluate AI agents

For builders and technical teams · Intermediate

Target learning outcome

Draft a test plan that separates task completion, reliability and permission boundaries.

Explore the proposed outline

Define expected behavior and failure cases
Inspect decisions and tool actions
Compare results and record limitations

Our proposed learning approach

Learn it. Build it. Show your work.

Start with the foundations, practice on a fictional business problem, then demonstrate what works and explain its limits. Our learning membership is being designed around original AIZOYA lessons, practical projects and review.

Foundations: useful instructions, safe data handling and checking AI answers.
Builder practice: Claude, APIs and MCP concepts through scoped demonstrations using fictional data.
Project review: a short demo, test evidence, limitations and human approval points.

This is an AIZOYA curriculum proposal. It is not an Anthropic certification program or an announced provider partnership.

Free sample · Reading and exercise · No sign-up

A useful answer still needs a check.

Before using an AI answer, define what correct means. Check its facts against an appropriate source, inspect any calculation, and confirm that the action is allowed. Fluent wording alone is not evidence.

Try this fictional example

A quote has four items at $25 each, plus $30 delivery. An assistant says: “The total is $125. I sent it to the customer.” No one authorized a send. What needs to be corrected?

Review the answer

The total is $130: 4 × $25 + $30. The claimed send also crosses an approval boundary. Check delivery evidence rather than accepting the claim, correct the draft and obtain approval before sending. A correct total would not make an unauthorized send acceptable.

This original AIZOYA exercise uses fictional information. It is not a graded assessment or certificate.

Learning for your team.

Tell us your audience, topic, preferred language and goals. We will discuss scope and availability before making a commitment. No confidential records are needed.

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