Center for AI in Education · Professional learning

Your next step in AI.
A pathway into practice.

Welcome to your Professional Development Hub: a guided digital program of interactive, self-paced courses for educators. Learn directly on the course pages, apply ideas to your setting and build your next steps around the work you do.

4 courses available now6 strands to exploreSelf-paced interactive learningIncluded with paid membership
A guided digital program

Build understanding. Try it. Take it further.

Follow this recommended sequence, then choose the strands that fit your interests and responsibilities. You can work at your own pace and return to course activities as you develop your practice.

  1. STEP 01Understand the foundations

    Start with Introduction to AI. Learn how models work and how to question their outputs.

  2. STEP 02Explore applications

    Continue with AI Applications for Educators. Connect tools and possibilities to learning goals.

  3. STEP 03Choose your context

    Take Early Childhood or Elementary / Primary School—or both if you work across these settings.

  4. STEP 04Extend your pathway

    Bring a lesson idea into practice, reflect on what pupils learn and select your next strand as courses open.

Make each course part of a larger project. Choose one learning challenge, keep a short reflection after each course, and revise a lesson or school workflow using what you have learned.
Start today

Four courses. Ready when you are.

Open a course to work through its interactive modules, examples, reflection activities and assessments. Access is included with your paid Center membership.

01Available now
Build your foundation

Introduction to AI

Understand large language models, neural networks and how generative AI learns from human-created material. Explore accuracy, bias, image generation, transparency, regulation and how frontier models are evaluated.

AI concepts · Critical judgement

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02Available now
Connect AI with teaching

AI Applications for Educators

Explore classroom applications across subjects and ages: role-play, simulations and case studies. Get an overview of research tools, source-based notebooks, presentations and agents, alongside ethics and creativity.

Classroom design · Tools · Creativity

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03AAvailable now
Choose your teaching context

AI for Early Childhood

Design play-based, language-rich learning moments and safe routines. Explore teacher-mediated advanced voice activities, storytelling and imaginative play, with adult guidance and meaningful offline follow-up.

Early childhood · Play · Advanced voice

Open course
03BAvailable now
Choose your teaching context

AI for Elementary / Primary School

Extend learning across literacy, mathematics, science, social studies and the arts. Adapt activities for ages 6–8, 8–10 and 10–12, including advanced voice, inquiry and projects that keep pupils thinking.

Primary school · Subject applications · Advanced voice

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For age-level courses, advanced voice activities are educator planning examples. Actual classroom use depends on age suitability, school approval and the chosen service’s participation rules.
The program continues

More courses are coming next week.

The remaining courses below will expand your pathway across all six strands. Explore each strand to plan what you would like to study next; course links will be added here as they become available.

01 · Classroom Applications

Choose a subject or age group and develop classroom practice.

Available now: Early Childhood and Elementary / Primary School.

Coming next week
  • AI Applications for Math & Science
  • AI Applications for Social Sciences
  • AI for Reading & Writing
  • Image Design & Multimedia
02 · Pedagogical Innovation

Explore new ways to organize learning and participation.

Available now: Introduction to AI. Start here, then explore AI Applications for Educators.

Coming next week
  • Pedagogical Innovation with AI
  • Project Based Learning with AI
  • Simulations & Real Life Learning
  • Designing the Classroom of the Future
03 · Cognitive Extension

Keep reasoning, reflection and intellectual agency central.

Coming next week
  • Cognitive Extension Using AI
  • Developing Agentic Tutors
04 · Tools, Agents & Automation

Build practical capability with tools and repeatable workflows.

Coming next week
  • Design of AI Tools for Educators
  • Custom GPTs & Process Automation
  • AI Agents & Advanced Applications
  • Data Analysis & Text Processing
05 · School Leadership

Connect professional learning with school-wide practice.

Coming next week
  • AI for Education Leaders
  • AI for Administrative Processes
  • Data-to-Insight Workflows
06 · Ethics & Policy

Examine the responsibilities that accompany classroom innovation.

Coming next week
  • Social & Ethical Implications
  • Legal Frameworks Worldwide
  • Assessment Redesign in the AI Era
Your longer-term direction

Three levels to guide your learning

Use the Center’s diploma pathway framework to plan breadth across the six strands and depth in your chosen areas. Start with the courses available now and build toward your selected level as the catalog opens.

Level 1

Foundation Certificate

6 credits

  • At least one course from each of the six strands.

Develop a broad foundation for thoughtful use of AI in education.

Level 2

Professional Certificate

10 credits

  • At least one course from each strand.
  • Four additional elective courses.

Broaden your practice and explore the areas most relevant to your role.

Level 3

Master Diploma

15 credits

  • At least one course from each strand.
  • Nine elective courses in total.
  • Include advanced work in agents, assessment, leadership and innovation.

Develop a connected approach to classroom practice and school change.

Planning your award pathway: Confirm credit allocation, completion evidence and award requirements with the Center before applying for a credential. This hub provides pathway guidance; it does not verify course completion or issue diploma awards.
From learning to application

How the digital program works

How do I take a course?

Open an available course, read its welcome instructions and work through the modules. Explore examples, complete reflections and use the practice questions and assessments to check your understanding. Each course explains its own progression requirements.

Do I need to attend at a particular time?

No scheduled attendance is required. These courses are interactive experiences on the website. Set your own study routine and spend additional time on the activities most useful to you.

Who can access the courses?

The courses are included with paid membership of the Center for AI in Education. Sign in with your membership account before opening a course. If your access is not recognized, contact the Center for assistance.

How should I keep track of my learning?

Keep a simple learning record: course title, date completed, one idea to apply and one question to revisit. The current interactive courses save progress in the browser and site where you study; this hub does not combine those records into an account-wide progress tracker. Save any downloadable notebook or reflection separately.

What should I do after completing a course?

Choose one idea to adapt, identify what learners should think or do, and decide how you will check the outcome. Review your experience before choosing your next course. Keep your notes and any completion evidence for discussions about your longer-term pathway.

Start with understanding. Build toward practice.

Your first step is ready. Begin with Introduction to AI, then follow the pathway that fits your work.

Begin Introduction to AI →

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