Welcome to your one-stop AI Resource Center, created specifically for educators.

A series of educator PD videos and companion guides from Code.org introducing AI fundamentals and classroom integration. Sessions include a fireside chat on AI in schools, an AI 101 primer, how to transform learning with AI, and strategies for responsible AI use in education.

Type: Video course & guides (5+ hours)

Certification/PD Credit: No formal certificate (free self-paced resources; educators may download a completion email or badge from Code.org if provided).

Google’s free course (developed with MIT) on using generative AI to save time on tasks, personalize learning, and enhance lessons. Also covers AI fundamentals and responsible use.

Type: Self-paced online course (3–5 hours)

Certification/PD Credit: Certificate of completion provided (can be used for PD credit, subject to district/state approval)

IBM’s free online PD suite (9 webinars, ~14 hours total) covering foundational AI concepts (machine learning, NLP, ethics, robotics, etc.) with K–12 classroom connections. Educators get practical knowledge to teach AI concepts.

Type: On-demand webinar series (9 parts)

Certification/PD Credit: Certificate of hours for each webinar; IBM AI Foundations for Educators digital badge earned by completing all nine webinars.

Interactive session showing how educators can use AI as a “collaborative thought partner” for lesson planning and problem-solving. Demonstrates AI tools for brainstorming ideas and inspiring creativity while keeping teachers in control.

Type: Webinar (1 hour)

Certification/PD Credit: 1 PD hour; Teacher Quality Certificate awarded on completion.

Panel discussion on leveraging AI to support students with special needs. Explores how AI can assist with paperwork and individualized support in special education, while addressing legal and ethical implications.

Type: Webinar (1 hour)

Certification/PD Credit: 1 PD hour; Teacher Quality Certificate upon completion.

Concluding webinar in NEA’s series focusing on using AI to transform educational practice. Examines innovative uses of AI for personalized instruction, data-driven teaching decisions, and reimagining classroom dynamics.

Type: Webinar (1 hour)

Certification/PD Credit: 1 PD hour; Teacher Quality Certificate upon completion.

Microsoft’s beginner-friendly AI learning path covering AI basics (LLMs, generative AI, prompt engineering, ethics) and practical classroom applications with MS tools.

Type: Learning path (4 modules)

Certification/PD Credit: Microsoft Learn digital achievement badge upon completion (proof of 4-module course completion).

National Education Association’s foundational 5-hour course exploring AI concepts and educational applications. Educators learn to integrate AI tools effectively and ethically in teaching, learning, and admin tasks while fostering student AI literacy.

Type: Online course (independent study)

Certification/PD Credit: 5 PD hours; yields a Teacher Quality Certificate upon completion.

ISTE+ASCD guide with AI implementation tips for school leadersA concise ISTE+ASCD guide for principals and district leaders on safely and thoughtfully implementing AI in schools. Provides background on AI’s impact in education and leadership tips for an “AI‑infused” school vision.

Type: Guide (ebook)

ISTE’s Hands-On AI Projects for the Classroom series, is a set of guides for teachers who are seeking instructional and curricular resources about artificial intelligence (AI) for various grade levels and across a range of subject areas.

Type: Educator guide (PDF)

Part of ISTE’s Hands-On AI Projects series, this guide provides age-appropriate AI activities for young learners. Includes unplugged exercises (no tech needed) and simple AI projects (e.g. basic chatbots, games) to build AI literacy in elementary school.

Type: Educator guide (PDF)

ISTE’s secondary-level AI projects guide, offering practical lessons from “unplugged” activities to more advanced student projects (like creating chatbots or simple AI-driven games). Tailored for secondary curricula to strengthen students’ AI understanding through hands-on learning.

Type: Educator guide (PDF)

This ISTE guide focuses on integrating AI into elective subjects. It features creative project ideas and cross-curricular AI activities, helping elective teachers engage students with AI concepts in contexts like art, music, language arts, etc.

Type: Educator guide (PDF)

ISTE’s AI project guide for CS classes, with more technical exercises and coding projects. Helps CS teachers introduce machine learning concepts, chatbot development, and other AI applications to students with programming experience.

Type: Educator guide (PDF)

NEA’s AI in Education hub offers trusted guidance, tools, and professional learning opportunities to help educators navigate the evolving role of artificial intelligence in schools and classrooms.

Type: Toolkit

Type: Report (PDF)

Type: Reference List

Type: Reference List

Type: Toolkit

Platform by IBM for students to train and build projects with ML models. Includes downloadable lesson plans for hands-on experimentation. Emphasizes learning by doing and ethical discussion of AI outcomes.

Type: Online tool + lessons

MIT RAISE curriculum for middle schoolers to explore AI ethics through discussions and projects. Topics include bias, privacy, and fairness.

Type: Lesson unit (multi-day)