Edor.ai Learning Centre

AI literacy courses for Hong Kong teachers

Two free online courses: first understand in plain language how large language models actually work, then learn to apply prompt engineering to planning, question setting, marking and the classroom. Written by the Edor.ai education team, with every lesson showing how the same technique is applied inside our platform.

LLM Classroom: large language model foundations

28 lessons about 345 minutes

From the Transformer architecture, tokenisation, parameters and self-attention through the three training stages, RAG, quantisation, local deployment, AI guardrails and future trends. Everything explained with everyday analogies — no maths or coding background required.

For: all teachers, panel heads and IT coordinators; no coding background needed

Module 1: How a model works inside
Module 2: How a model is made
Module 3: Ecosystem and getting models
Module 4: Core application concepts
Module 5: Local deployment and efficient fine-tuning
Module 6: Safety, evaluation and hard limits
Module 7: What comes next

Syllabus

Prompt Engineering Classroom: classroom practice

18 lessons about 233 minutes

Eighteen lessons of prompt engineering set entirely in Hong Kong classrooms: planning, tiered worksheets, question setting and rubrics, marking feedback, SEN adaptation, the scaffolded tutor, administrative writing, grounded RAG answers, prompt-injection defence and panel template libraries. Every lesson includes copy-ready prompts in both languages.

For: classroom teachers, panel heads and teaching assistants; read LLM Classroom modules 1 and 4 first

Module 1: Prompting fundamentals
Module 2: Teaching and learning in practice
Module 3: Administration, RAG and safety
Module 4: Advanced technique and continuous improvement

Syllabus

Why we wrote these courses

Teachers do not need to become engineers, but they do need to know why AI gets things wrong, why it sometimes forgets earlier context, and what data must never be pasted in.
School-based AI work has to be written into grant reports and professional development records, and that needs systematic, citable material.
The RAG, guardrails, quantisation and on-premises deployment we run in the platform are the same techniques taught here — after this you will know exactly what you are buying.
Every lesson is free and public, so it can be used directly for panel co-planning or a teacher workshop.

AI model database

Specs, pricing, release timelines and platform support status for 15 major providers

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AI in Education Blog

Tool tutorials, model comparisons and school-based implementation articles

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