AI Courses for Teachers and Educators
AI courses for teachers and educators cover lesson planning, learning materials, assessment design, and teaching students to use AI honestly. They are written for classroom practitioners rather than technologists, so the examples are teaching work rather than generic office tasks. Where a course is written against a particular country's curriculum or national guidance, its own page says so.
AI reached teaching from two directions at once: a way for teachers to draft, plan and mark faster, and a way for students to avoid doing the work. The subject splits three ways. The first is your own practice: using AI as a planning partner, building materials that hold together pedagogically, and cutting the time documentation takes. The second is your students: what AI literacy consists of, how to teach it, and how to set assessment that measures thinking rather than typing. The third is institutional: the privacy, equity and policy questions a school or college has to settle rather than any one teacher.
Courses for Education & Teaching
19 courses.
AI Deep Dive for Educators
ISTE
AI Deep(er) Dive for Educators
ISTE
AI Fluency for Educators
Anthropic
AI Fluency for pK-12 Train the Trainer
Anthropic
AI Fluency for pK–12 educators
Anthropic
AI for educators
Microsoft Learn
AI in Special Education
NEA (National Education Association)
AIED: Enhancing Educator Practice with AI
NEA (National Education Association)
AIED: Evidence-Based AI for Learning
NEA (National Education Association)
AIED: Foundations and Applications of AI
NEA (National Education Association)
AIED: Human-Centered Approaches to AI
NEA (National Education Association)
AIED: Promoting AI Equity and Access
NEA (National Education Association)
AIED: Safe and Ethical Use of AI
NEA (National Education Association)
AIED: Student-Centered AI Literacy
NEA (National Education Association)
Machine translation in language learning and teaching
The Open University
Safe and effective use of AI in education
Chartered College of Teaching
Teaching AI Fluency
Anthropic
Teaching AI in the Primary Classroom
Adelaide University (CSER STEM Professional Learning)
Teaching AI in the Secondary Classroom
Adelaide University (CSER STEM Professional Learning)
Frequently asked questions
- What can teachers use AI for?
- Teachers use AI for drafting and adapting learning materials, differentiating work for individual students, cutting the time documentation and family communication take, and thinking through assessment design. The teacher's judgment still decides what reaches a classroom.
- Do I need to know anything about AI before starting?
- No. This material is written for teachers rather than technologists, and includes courses that start from what AI is and how it behaves before asking you to do anything with it.
- Do these courses count toward professional development?
- Where a course awards a certificate, continuing-education hours or credits toward a professional status, its page records what the provider states. Whether your school, district or authority accepts it is their decision, not the provider's.
- Do they cover students using AI, and academic honesty?
- Yes. It is one of the main strands of the subject: designing assessment that still works when students have AI, teaching students to judge AI output for themselves, and setting expectations about honest use.
- Are these courses tied to one country's curriculum?
- Some material is written against a particular country's curriculum or national guidance. The rest of the subject transfers to any system: how AI behaves, how to teach with it, how to assess alongside it.
Key concepts
The foundational terms these courses build on — each chip links to a plain-English definition in the AI Pinnacle glossary.