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GAAIGlobal Association of AI
GAAI AI Standards Framework™

GAAI-200

Applied AI Competency

GAAI-200 establishes practical competency expectations for applying Artificial Intelligence to real-world tasks, problems and projects.

Purpose

What This Standard Establishes

The standard moves beyond basic AI awareness toward practical application — demonstrating capability through work that can be evidenced.

  • Applying AI tools to real tasks
  • Working with generative AI systems
  • Designing effective interactions with AI tools
  • Using agent-based workflows appropriately
  • Analyzing problems and developing practical solutions
  • Evidencing capability through projects
  • Maintaining human oversight in applied work
Core areas

Core Areas of Competency

The standard is organized into defined areas so that learning, preparation and assessment can be aligned consistently.

Applied AI

Use AI to solve practical problems.

Generative AI

Understand and apply generative AI systems appropriately.

Prompting & AI Tools

Develop effective methods for interacting with AI tools.

AI Agents

Understand and apply AI assistants and agent-based workflows where appropriate.

Problem Solving

Use AI to analyze problems and develop practical solutions.

Projects & Use Cases

Demonstrate AI application through practical projects.

Responsible Application

Apply AI with appropriate human oversight and responsible-use practices.

Intended audience

Who This Standard Is For

College students
Early-career professionals
Emerging AI practitioners

Candidates enter the framework at the level appropriate to them. Progression through every standard is not required.

Demonstrate This Competency

Standards define what capability means. Certification is how it is demonstrated and verified.

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