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Prepare Claude Code training in Morocco around authorised repositories, scoped development tasks, reliable tests and human review for software teams.
Published 17 September 2026

Useful Claude Code training teaches a team to turn an authorised task into a change that another person can verify. Learning commands is only part of the programme. Developers and reviewers also need to identify missing requirements, control scope and recognise an unproven result.
Hunter BI proposes practical workshops for software teams in Morocco, with the format and scope agreed after an initial assessment. On-site arrangements in Casablanca or remote delivery are discussed for the project; this page is not an announcement of an open scheduled session.
Programme outline prepared with AI assistance on 17 September 2026. Exercises are illustrative and use authorised material. No official Anthropic certification is promised. The cover is an AI-generated conceptual illustration.
The intended participants are developers, technical leads and reviewers who already understand a code repository and their team's delivery process. This is not an introduction to programming.
A developer may need to improve task framing and investigation. A reviewer may need to evaluate generated tests and identify unnecessary changes. A technical lead also needs to define reusable conventions and decide where human approval remains mandatory.
An initial assessment should examine the team's experience, stack, repository condition and project restrictions. These factors determine the depth of the workshops more reliably than the product name alone.
Confirm approved accounts, a working repository, installation commands and a test runner. Use the Claude Code setup documentation for the selected environment and verify that each participant can work with the intended access level.
The repository must be authorised for the exercise. Client code requires the appropriate permission; a developer's ordinary access is not enough to establish that the training provider and AI workflow may process it.
Use synthetic test data and remove unnecessary secrets. Where a client repository cannot be approved, use a separate pedagogical project. The security guide describes the questions to resolve beforehand.
| Module | Participant activity | Observable outcome |
|---|---|---|
| Understand the repository | Trace a behaviour without editing | Verified map of relevant files |
| Frame the task | Define rules, exclusions and missing information | A clear task contract |
| Make a bounded change | Produce a small correction | A focused, explainable diff |
| Validate behaviour | Design and execute relevant tests | Evidence linked to the business rule |
| Review critically | Detect a weak or misleading solution | A justified acceptance or rejection |
| Hand over | Summarise decisions, checks and limits | Work another developer can continue |
The objective is not to maximise generated code. A participant who correctly refuses to accept an unverified patch may demonstrate more proficiency than one who produces a large change quickly.
Start with a read-only question about a module. Ask participants to identify entry points, dependencies and the part of the execution path relevant to a reported problem.
They should distinguish an observation from a hypothesis. A plausible function name does not prove that the function is called in the failing workflow. Require references to code and a clear explanation of what remains unknown.
Review the investigation before allowing edits. This exercise reduces the habit of asking the agent for a fix before understanding the problem.
Provide a business rule and a small defect. Participants prepare a regression test, propose a correction and inspect the diff. The public contract remains fixed unless a responsible person approves a change.
Exclude new dependencies and unrelated refactoring from the exercise. Ask the developer to explain any file modified outside the expected module. A shortcut that hides an error is not a successful fix.
Run the agreed checks and record their actual result. If a dependency or service prevents execution, report the limitation instead of converting an incomplete check into a pass.
Provide a test that passes while failing to check an important boundary. Participants must find the weak assertion and replace it with a case derived from an independently stated rule.
In an isolated training copy, deliberately break that rule and verify that the test fails. Restore the correct implementation afterwards. The unit testing guide provides a small executable example of this method.
This exercise teaches the difference between a green test runner and useful evidence. It also makes the reviewer an active participant in training.
The final exercise should use a different ticket rather than repeat the demonstrated steps. Include a missing constraint or incomplete output and observe whether the participant asks for clarification.
Assess task framing, scope control, explanation of the diff, execution evidence and handover quality. Do not rank participants by prompt count or lines generated.
Give feedback tied to these observable behaviours. Any attendance document or internal assessment must be distinguished from a vendor-issued certification. This programme does not claim official Anthropic certification.
After the workshop, select authorised tickets and assign an owner for follow-up. Preserve examples of helpful instructions, common errors and good review evidence in the team's own documentation.
The Claude Code deployment guide connects training to access controls and operational ownership. The ROI guide helps assess whether the practice improves accepted delivery rather than simply tool usage.
If the product choice is still open, use the Claude Code vs Codex comparison before committing the entire team to one workflow.
Only after the relevant permissions, processing conditions and exclusions have been confirmed. An authorised training repository remains appropriate when approval is unavailable.
The programme described here assumes development experience. A different foundation would be needed before these repository and review exercises.
Yes, especially where they will define conventions and accept AI-assisted changes. They may need additional work on administration and rollout decisions.
Share your team size, stack, experience and desired workflow. Hunter BI can scope a programme within its enterprise AI training services, with preparation, format and deliverables agreed explicitly.
Request a Claude Code training proposal. Do not include confidential code in the initial enquiry.

Your next step
Tell us about your business, your tools and the task you want to improve. We will help you define a practical first step.