Programs Built for Real Educators
From introductory AI literacy to certified mastery — find the program that fits your goals and schedule.
AI Foundations for Educators
Start your AI journey with core concepts designed specifically for classroom educators.
- WhatsApp Micro-Courses
- Email Courses
- Self-Paced Modules
AI in Education Bootcamp
Apply AI tools to real teaching challenges with hands-on projects and peer collaboration.
- Prompt Engineering for Teachers
- AI Tools Workshop
- Classroom AI Integration
AI Curriculum Specialist
Lead AI transformation across your school or district with expert-level certification.
- School AI Leader
- District Transformation Track
- Certified AI Education Consultant
Prompt Engineering for Teachers
Master the art of writing effective AI prompts for educational content creation.
- Practical exercises
- Real classroom examples
- Assessment strategies
School AI Leader
Equip school leaders with the strategic skills to champion AI adoption institution-wide.
- Leadership frameworks
- Policy development
- Stakeholder engagement
Data Literacy for Educators
Understand and leverage educational data to improve student outcomes and teaching practice.
- Data interpretation
- Learning analytics
- Evidence-based decisions
Gemini Academy for Educators — The Spinner Cohort
A 5-module professional development program that builds AI literacy and practical Gemini skills for K-12 educators — from responsible use to amplifying teaching with Google AI tools.
- PARTS Prompting Framework
- NotebookLM & Google Workspace
- Responsible AI for Schools
The Pillars of AI Governance: AI Core Principles for K-12 Schools
A practical introduction to AI governance designed for K-12 educators — covering fairness, transparency, accountability, data privacy, and student wellbeing in simple, classroom-ready language.
- AI fairness for the classroom
- Student data privacy basics
- Responsible AI use policies
- Teacher & student wellbeing
The Pillars of AI Governance: AI Core Principles in Education
Master the ethical, legal, and strategic pillars of AI governance in K-12 and higher education — from policy design to responsible implementation.
- AI ethics & fairness frameworks
- Policy & compliance design
- Responsible AI implementation
- Stakeholder accountability