Summary of https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/bade/documents/products-and-services/en-us/education/Microsoft-Education-AI-Toolkit1.pdf This toolkit from Microsoft provides a comprehensive guide for education institutions to embark on their AI journey. It outlines a five-step implementation process that covers exploration, planning, data preparation, governance, and policy development, emphasizing responsible and ethical AI use. The resource also showcases real-world examples of how various Microsoft AI tools are being integrated globally for student success and institutional innovation, alongside insights into creating effective prompts and accessing professional learning opportunities. Exploration and planning This initial phase involves practical steps for education leaders, engaging the community, and defining the institution's goals for AI implementation. Data and infrastructure prep This step focuses on preparing the necessary data and infrastructure. It includes strengthening governance and policies, breaking down data silos, and implementing security measures to protect sensitive data for students and faculty during AI deployment. Pilot implementation This phase involves offering professional learning opportunities to integrate AI tools into workflows and running a pilot program for the AI tools. Scale and optimize In this stage, institutions introduce AI-driven administration and tools such as Microsoft 365 Copilot Chat, and gather feedback to optimize their use. Evaluate and review The final step involves assessing the impact of AI, monitoring and analyzing its influence on the institution's goals and objectives, and iterating based on the results.