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What this page helps you accomplish

Learn how to open Batoi Learn, choose a practical lab, and follow a guided learning path from understanding to workplace application.

Batoi Platform · Learn

Accountable roleLearner

Business taskGetting Started

Completion signalOpen Batoi Learn, choose a suitable practical Lab, and understand how its guided stages produce work that a reviewer can assess.

1 Confirm

Scope and authority

Access to Batoi Learn through the intended authenticated workspace A learning objective or assigned capability to guide the first activity

2 Act

Getting Started

Learn how to open Batoi Learn, choose a practical lab, and follow a guided learning path from understanding to workplace application.

3 Verify

Observable business result

Open Batoi Learn, choose a suitable practical Lab, and understand how its guided stages produce work that a reviewer can assess.

Potential issue and recovery

The expected record or action is missing.

Recommended recovery: Return to the intended context and ask an Owner or Admin to confirm access. Do not use another person’s account.

Batoi Learn turns practical workplace scenarios into guided learning paths. You can study a concept, practise it in a safe lab, receive an automatic assessment, and carry the result into your work.

Who should use this article

This article is for Learners who are authorized to complete or review this task. A consequential decision remains with the accountable person.

Before you begin

Access to the intended Batoi workspace and the role required for the task
An approved purpose, accountable owner, and safe information boundary
The source records or sample information needed to verify the result
Use approved sample or operational information only. Never enter a password, token, private key, or unnecessary personal information.

Who can use Batoi Learn

Batoi Learn is available inside a workspace to Owners, Admins, Operators, Builders, Analysts, and Viewers. Viewers have read-only access. Workspace Members do not have access to Learn.

Open Learn and choose a lab

Sign in and open the workspace where you want to learn.
Open Learn from the workspace navigation.
Choose a learning path, assignment, or one of the available labs.

Available labs span AI practice, strategy, and assurance:

AI Adoption Planner — identify a suitable AI opportunity and turn it into a responsible adoption plan.
AI Governance & Compliance Lab — examine obligations, risks, controls, evidence, accountability, and decision readiness.
Applied ML Lab — configure and evaluate a safely limited machine-learning experiment.
AI Response Lab — improve AI responses with structured criteria, comparison, and reflection.
SaaS Strategy Lab — connect customer value, packaging, pricing reasoning, evidence, and decision criteria.
Cloud Strategy and Sustainability Lab — evaluate architecture, region, cost, resilience, responsibility, and review conditions.
Governance Assurance Lab — map obligations, controls, evidence requests, findings, and accountable assurance decisions.
Security Assurance Lab — interpret security evidence and prepare proportionate findings, treatment, and release recommendations.
Operations Readiness Lab — assess operating ownership, support, continuity, incidents, gaps, fallback, and readiness conditions.

Choose a practical lab and move from understanding to workplace application.

A guided learning path in Batoi Learn — A learning path keeps the scenario, stages, progress, and next action together.

Follow the guided stages

Start with the first available stage and use the primary action to continue. A path normally moves through Learn, Try, Evaluate, Reflect, and Apply. Complete each stage in order so your evidence and progress remain connected.

Tip: Read the scenario and success criteria before entering your answer. They explain the workplace context and what the automatic assessment will look for.

What happens next

When you submit assessable work, Learn scores it automatically and shows criterion-level feedback. You can improve the work, reflect on the result, and complete the application step. Your completed evidence contributes to your private mastery portfolio.

For the four core AI labs, continue with Complete AI Labs and Hand Off Reviewed Work. It explains the exact AI Adoption Planner, AI Governance & Compliance, Applied ML, and AI Response workflows and the human-review boundary for Govern and Build proposals.

Troubleshooting and recovery

What you see	What to check	Safe next action
The expected record or action is missing.	Workspace, project/app context, role, status filters, and prerequisites.	Return to the intended context and ask an Owner or Admin to confirm access. Do not use another person’s account.
The status remains incomplete or needs review.	Required fields, evidence, approvals, source connections, checks, and owners.	Record the missing item and owner. Do not mark the task complete until it can be independently verified.
The result conflicts with policy or evidence.	Scope, source recency, exception authority, decision conditions, and reviewer independence.	Do not bypass the control. Return the item for correction or escalate it through the authorized route.

Safety and governance

Protect sensitive information. Do not place credentials, secrets, private keys, raw tokens, unnecessary personal information, private repository content, customer identifiers, or restricted documents in a public note, screenshot, prompt, export, or evidence caption. Use approved secret references and permission-controlled workspace records.

Final verification

Expected result: Open Batoi Learn, choose a suitable practical Lab, and understand how its guided stages produce work that a reviewer can assess.

Next step

Continue with the next verified article in this Product Guide, or return to the Batoi Platform Product Guide.