Days 1–7 · Foundations
Models and interfaces, good task selection, context, constraints, uncertainty, privacy and a first review checklist.
Curriculum
A 28-day curriculum that moves from principles to practice.
Four stages build on each other: understand the system, improve your instructions, design a workflow and apply it responsibly.
Short focused lessonsHands-on practiceLearn at your pace
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AI
28
✓
C
YOUR LEARNING PATHDAY 12 / 28
Turn AI ideas into a workflow you can use.
One concept, one practical task, one useful result.
✓Practice: improve a real prompt with context and constraints
Designed for useful progress
Guided sequence
Practical outputs
Role-based examples
WHAT YOU WILL BUILD 01 02 03 04
Four stages of the 28-day learning arc
The curriculum favours durable skills over memorising one product's interface.
Days 8–14 · Better interactions
Prompt structures, examples, iteration, output formats, comparison and techniques for exposing weak assumptions.
Days 15–21 · Practical workflows
Research, writing, visual planning and productivity patterns that connect several small AI-assisted steps.
Days 22–28 · Apply and improve
Adapt a workflow to your role, define quality gates, document human ownership and plan the next iteration.
PRACTICAL OUTPUTS
What you practise across the curriculum.
The goal is not a pile of generated text. Each exercise supports a decision, a process or a reusable learning asset.
A prompt brief
Define the audience, context, constraints, evidence needs and expected format before asking for output.
A verification checklist
Separate facts that need an authoritative source from ideas that can remain exploratory.
A role-based workflow
Map inputs, AI-assisted steps, human review points, outputs and a safe fallback.
An improvement note
Record what failed, what changed and why the second version is more useful or reliable.
CHECKING PROGRESS
Review understanding through evidence, not hype.
Progress checks focus on explaining decisions, spotting weak output and improving a process. They are learning signals, not professional accreditation.
Explain the choice
State why a tool or prompt pattern fits the task and where it may fail.
Show the review
Identify claims, privacy risks or quality issues that require a human decision.
Improve the workflow
Use the review to change context, constraints, sequence or the final approval point.
QUESTIONS, ANSWERED
Questions before you begin
Are all 28 days mandatory?
The sequence is designed to build progressively, but you can adjust the pace and revisit stages when your practical task needs more time.
Does the curriculum teach coding?
The core curriculum focuses on practical AI literacy and workflows. Any technical or coding-specific path should state its prerequisites separately.
How often is the curriculum updated?
Tool examples should be reviewed as products change, while the durable principles and safety checks remain the foundation.
Is completion the same as accreditation?
No. Completing a Coursim path is not presented as an accredited qualification or a guarantee of professional competency.
YOUR NEXT STEP
Build one useful AI skill today.
Choose a path, understand the method and begin with a focused practical lesson.