Course Syllabus

• Course 1: The State of AI for Education

  This foundational course explores the transition of public education into an AI-native ecosystem. Learners will examine the baseline components of industrial-age schooling, analyze the hidden workload forces driving teacher burnout, and contrast legacy delivery systems with an emerging landscape defined by continuous personalization, real-time formative intelligence, and Socratic-quality dialogue at universal scale.

  You will leave this course with a clear understanding of the explicit risks and opportunities AI presents, and a personalized baseline to guide your career posture forward.

  What You'll Learn

  This course will teach you how to:

  • Identify the core components of the traditional education operating model and the historical role of educators in creating value.
  • Describe the key forces driving rapid AI-driven change in education, including accelerating capabilities, adoption data, and bellwether examples.
  • Analyze how the emerging AI-native paradigm differs from the traditional education model in terms of workflows, value creation, and economics.
  • Evaluate how AI-driven changes create risks and opportunities for educators, schools, and educational organizations.
  • Create a concise personal reflection that summarizes the sector's AI-driven changes and outlines your top opportunities, threats, and commitment to becoming AI-Forward.

• Course 2: The Future of Education

  This course introduces the core strategic transformations defining how leading school districts, universities, and educational frameworks are reshaping learning environments. Learners will explore organizational AI strategy, critique legacy student delivery standards, and establish transparent parameters to guide their institutions from initial exploration to systemic change.

  What You'll Learn

  This course will teach you how to:

  • Define the purpose of an AI-Forward strategic playbook and explain how it shifts the focus from understanding AI disruption to responding to it.
  • Describe three core strategic shifts in education by contrasting the legacy way of operating with the emerging AI-Forward approaches, supported by relevant data and examples.
  • Analyze the implications of each strategic shift for cost structure, workflows, value delivery, institutional standing, talent development, and organizational culture.
  • Evaluate your organization's current position on each strategic shift by rating yourself as Lagging, Adapting, or Leading.
  • Answer key strategic questions to determine your most important areas for AI-Forward improvement.

• Course 3: Finding Your AI Advantage in Education

  This course serves as a practical blueprint for turning strategic intent into measurable student and teacher outcomes. Utilizing targeted, natural-language AI tools, learners will unbundle cognitive labor, analyze implementation barriers, and generate a prioritized action plan.

  What You'll Learn

  This course will teach you how to:

  • Describe how the Use Case Model functions as a bottom-up framework for identifying AI opportunities and why unbundling tasks reveals quick-win pilot projects.
  • Review 7 AI modalities and understand the high-value potential of "modality stacking."
  • Describe how the Problem-Based Model functions as a top-down framework and explain how ProblemsGPT supports the creation of strong strategic problem statements.
  • Create a preliminary AI action blueprint by completing both the Piloting AI Use Case Workbook and the Problem-Based Workbook to determine the highest-value starting points for implementation.

• Course 4: Applied AI for Education

  This course delivers the practical, core technical workflows required to operationalize AI safely across schools and university departments.

  Learners will explore the structural differences between incumbent platforms and specialized AI software, while gaining direct experience in prompt engineering, document grounding, and building custom AI assistants.

  What You'll Learn

  This course will teach you how to:

  • Describe the core challenge of navigating the AI technology landscape and explain the purpose of the Three Tiers of AI Technology framework.
  • Explain the role and value of each tier as a practical system for prioritizing and selecting technologies, providing examples of each.
  • Interpret key evaluation criteria using examples from a curated set of industry-specific AI tools to understand how to vet technology effectively.
  • Explain the value of essential implementation skills like creating high-context prompts, conducting deep research, grounding an AI assistant in your own documents, and building a reusable custom agent.
  • Apply the Three Tiers framework and your hands-on skills to complete a preliminary implementation plan by mapping tools to your prioritized use cases.

• Final Exam

  Upon successful completion, you will earn a Professional Certificate for the AI for Education course series.