AI Explorer — AI Productivity, Creation and Problem-Solving

Explains AI/ML/GenAI/LLM using Data→Model→Output pipeline accurately

L2 Understand

Builds and demonstrates 2-class Teachable Machine model with 70%+ accuracy

L3 Apply

Distinguishes supervised, unsupervised, reinforcement learning with 2 Bangladesh examples each

L2 Understand

Applies all 6 prompt techniques across academic and professional Bangladesh contexts

L3 Apply

Conducts multi-model comparison and identifies output quality differences

L4 Analyze

Writes effective Bangla prompts producing culturally appropriate Bangladesh outputs

L3 Apply

Identifies and resolves 4 common data quality issues in Bangladesh open data

L3 Apply

Creates 3 appropriate visualizations with correct chart types, labels, and Bangladesh insight captions

L3 Apply

Identifies 2 structural biases in a Bangladesh dataset and explains AI training impact

L4 Analyze

Builds a functional no-code AI application solving a Bangladesh problem

L6 Create

Conducts structured user testing with 10 test cases and documents failure patterns

L4 Analyze

Completes AI Design Sprint through all 6 phases with community evidence

L6 Create

Presents 5-minute investor/community pitch with quantified Bangladesh impact

L5 Evaluate

Designs a personal AI Ethics Charter with Bangladesh-specific principles

L6 Create

Conducts deepfake detection audit using 5-sign checklist on 8 examples

L3 Apply

Identifies algorithmic bias mechanism in a Bangladesh loan or education AI case

L4 Analyze

Maps personal AI career pathway with 90-day action plan and Bangladesh market context

L5 Evaluate

Identifies and demonstrates portfolio artifacts relevant to target AI career pathway

L3 Apply