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Self-serve path

Rakyat AI Path

Beginner-friendly applied AI for everyday Malaysians who want practical confidence before deeper building.

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01 / OVERVIEW

What this programme is

The Rakyat AI Path is the public starting point for learners who want to use AI with more confidence and less guesswork.

The course is structured around practical everyday use: understand the tool, write clearer prompts, turn repeated tasks into workflows, check information, build a useful output, and review before sharing.

02 / WHO IT IS FOR

Built for the right context

  • Learners who are new to AI and want a clear first path.
  • Community members who want practical outputs rather than theory-heavy lessons.
  • Builders who may later enter Vibe 101 or Vibe 102 inside Academy.

03 / OBJECTIVES

What learners should leave with

  • Use AI for simple tasks without blind trust.
  • Write prompts that include context, constraints, and review criteria.
  • Create one practical output that can be explained and improved.
  • Know when to check sources, privacy, tone, and claims before using AI output.

04 / MODULE OUTLINE

Seven modules, summary only

M-01

AI Basics

Understand what AI can and cannot do before using it for real work.

  • Common AI uses
  • Human judgement
  • Safe first tasks
Safe-use checklist
M-02

Prompting

Give clearer instructions and review the result instead of accepting the first answer.

  • Prompt structure
  • Context and constraints
  • Review loops
Reusable prompt template
M-03

Workflows

Break a repeated task into steps where AI can help without taking over.

  • Task mapping
  • Drafting support
  • Human checkpoints
Workflow map
M-04

Research

Use AI to explore and compare information while checking sources and missing context.

  • Question framing
  • Source comparison
  • Briefing notes
One-page comparison brief
M-05

Build Practice

Turn the learning into a visible output, prototype, worksheet, tracker, or build-lab path.

  • Output selection
  • Build planning
  • First useful draft
Practical build artifact
M-06

Review And Safety

Check AI output for mistakes, privacy risk, weak claims, tone issues, and missing review.

  • Accuracy checks
  • Privacy awareness
  • Share-readiness review
Review checklist
M-07

Final Project

Package one useful result and explain what was made, how it was checked, and what comes next.

  • Project story
  • Evidence of work
  • Next improvement
Final project story

05 / DELIVERY

How it runs

  • Designed as a beginner-friendly path with summary-level public guidance.
  • Build labs such as Vibe 101 and Vibe 102 stay inside the Academy learning hub.
  • Learners should avoid pasting private or sensitive information into public AI tools.

06 / NEXT ACTION

Review the path, then choose the right next step.

Public pages stay at overview level. Academy learning surfaces hold the actual lessons, labs, and resources.

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