Professional Development

COURSES AND DIPLOMAS

All of our live 90-minute Zoom courses are freely available to members, covering a wide range of topics related to AI in schools.

Members can obtain 3 levels of accreditation by attending live courses in various strands.

Professional Development Courses

Upcoming AI Courses for Educators

Practical online professional development sessions designed to help educators understand, apply, and use artificial intelligence responsibly in school contexts.

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Delivered in English

Introduction to Artificial Intelligence for Educators

  • Date: July 21, 2026
  • Original time: 6:00–7:30 p.m. ET
  • Format: Online
  • Instructor: Gabriel Rshaid
  • Cost: Free for members

This introductory course provides educators with a clear and practical foundation for understanding artificial intelligence and its growing role in education.

  • What artificial intelligence is and how it works at a basic level
  • Key AI concepts educators should understand
  • How AI is influencing teaching, learning, assessment, and school operations
  • Opportunities, risks, and responsible first steps for using AI in schools
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Delivered in Spanish

AI Applications for Educators

  • Date: July 29, 2026
  • Original time: 4:00–5:30 p.m. ET
  • Format: Online
  • Instructor: Gabriel Rshaid
  • Cost: Free for members

This professional development course offers a practical introduction to the main applications of artificial intelligence in educational settings.

  • Concrete uses of AI to support lesson and project planning
  • AI applications for creating and adapting educational materials
  • Strategies for assessment, feedback, and learning follow-up
  • Responsible criteria for selecting and using AI tools in schools
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Both courses are free for members of the Center for AI in Education.

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Strands & Courses

Strand 1: Classroom Applications

AI Applications for Early Childhood

Practical ways to use AI to design play-based, language-rich learning moments and safe routines.

AI for Primary–Elementary School

High-impact classroom uses: planning, differentiation, feedback, and creativity with simple routines.

AI Applications for Math & Science

Using AI for explanations, misconceptions, practice generation, and lab planning.

AI Applications for Social Sciences

Inquiry and analysis: sources, perspectives, arguments, and historical thinking supported by AI.

AI for Reading & Writing

Writing as a process: planning, drafting, revision, voice, and clarity with structured feedback loops.

Image Design & Multimedia

Classroom-ready image and media workflows for explanations, projects, and assessment.

Strand 2: Pedagogical Innovation

Introduction to AI for Educators

A clear, practical orientation to what generative AI can and cannot do in schools.

Pedagogical Innovation with AI

How AI changes learning design: from content delivery to inquiry, creation, and critique.

Project Based Learning with AI

Using AI to strengthen driving questions, authenticity, and criteria for success in PBL.

Simulations & Real Life Learning

Designing role-plays and simulations that feel real, complex, and curriculum-aligned.

Designing the Classroom of the Future

A human-centered framework for rethinking space, time, grouping, and learning routines.

Strand 3: Cognitive Extension

Cognitive Extension Using AI

A practical shift from AI as “answer machine” to AI as a thinking partner and metacognitive tool.

Developing Agentic Tutors

How to structure AI tutors that guide practice, feedback, and revision over time.

Strand 4: Tools, Agents & Automation

Design of AI Tools for Educators

How to design small, reliable AI “tools” for real classroom and planning workflows.

Custom GPTs & Process Automation

Building Custom GPT-style assistants for repeated tasks and consistent outputs.

AI Agents & Advanced Applications

What “agentic” systems are and where they genuinely help in multi-step education settings.

Data Analysis & Text Processing

Using AI to make sense of surveys, reports, transcripts, and qualitative feedback.

Strand 5: School Leadership

AI for Education Leaders

Leadership use cases: strategy, change management, communications, and decision briefs.

AI for Administrative Processes

Where AI adds value in school operations: workflows, documentation, and coordination.

Data-to-Insight Workflows

Transforming survey data and stakeholder feedback into actionable leadership insights.

Strand 6: Ethics & Policy

Social & Ethical Implications

A clear map of the ethical and social risks: bias, equity, privacy, transparency, and trust.

Legal Frameworks Worldwide

A comparative overview of how AI-related rules and guidance are emerging across countries.

Assessment Redesign in the AI Era

Redesigning assessment so it measures thinking, process, and applied understanding.


Diploma Pathway

A clear, flexible certification pathway designed for educators who want practical AI capability—grounded in pedagogy, responsible use, and real school workflows.

Level 1: Foundation Certificate

Purpose: Build a reliable foundation for using AI in teaching and learning—without hype, and with clear guardrails.

Requirements (6 Credits)
  • Complete 6 credits total.
  • Must complete at least 1 course from each of the 6 strands.
Recommended Sequence
  • Strand 1 AI for Primary–Elementary School
  • Strand 2 Introduction to AI for Educators
  • Strand 3 Cognitive extension using AI
  • Strand 4 Custom GPTs and process automation
  • Strand 5 AI for Administrative Processes
  • Strand 6 Social and ethical implications

Level 2: Professional Certificate

Purpose: Move from understanding to implementation—stronger classroom integration, better workflows, and clearer assessment.

Requirements (10 Credits)
  • Complete 10 credits total.
  • Must complete at least 1 course from each strand.
  • Plus 4 elective courses from any strand.
Recommended Electives
  • Assessment Assessment Redesign in the AI Era
  • Data Data analysis and text processing
  • Design Project Based Learning with AI
  • Tools Design of AI tools for educators

Level 3: Master Diploma

Purpose: Develop advanced capability to design, lead, and sustain AI-enabled learning and school practice.

Requirements (15 Credits)
  • Complete 15 credits total.
  • Must complete at least 1 course from each strand.
  • Plus 9 elective courses total.
Required Advanced Areas
  • Agents AI Agents or Agentic Tutors
  • Assessment Assessment Redesign in the AI Era
  • Leadership AI for Education Leaders
  • Innovation Pedagogical Innovation or Classroom of Future