Skills you will learn

  • AI Adoption
  • AI Teaching
  • AI Content Creation
  • AI Integration
  • AI Assessment
  • AI Ethics
  • AI Policy

Who should learn

  • Beginners
  • Teachers
  • Curriculum Designers
  • Instructional Designers
  • Institution Leaders
  • EdTech Professionals
  • Learning Designers
  • Students
  • Graduates

What you will learn

  • Free AI in Education Course

    • Lesson 01: Introduction

      02:40
      • 1.01 Trainer Introduction
        01:13
      • 1.02 Course Introduction
        01:27
    • Lesson 02: Learning Objectives

      00:53
      • 2.01 Learning Objectives
        00:53
    • Lesson 03: The Current State of AI in Education: No Consensus Yet

      09:53
      • 3.01 Identify the Current Phase of AI Adoption in Education
        05:07
      • 3.02 Demo Analyze AI Generated Summaries of Current AI Use in Education
        04:46
    • Lesson 04: Three Patterns of AI Use Today

      07:47
      • 4.01 Categorize AI Use as Avoidance Augmentation or Experimentation
        03:19
      • 4.02 Demo Contrast Three AI Prompts Representing Common Usage Patterns
        04:28
    • Lesson 05: What Actually Changed: From Content Delivery to Cognitive Work

      10:19
      • 5.01 Using AI with Purpose and Judgment
        04:13
      • 5.02 Demo Generating Content with AI and Evaluating Its Cognitive Limits Using ChatGPT
        06:06
    • Lesson 06: AI as a Teaching Partner

      10:32
      • 6.01 Using AI as a Thought Partner in Lesson Design
        04:04
      • 6.02 Demo Collaborate with AI To Surface Assumptions And Teaching Strategies
        06:28
    • Lesson 07: Where AI Fits in the Teaching Workflow/Lesson Planning

      09:15
      • 7.01 Create Evaluate and Improve Lessons With AI
        03:35
      • 7.02 Demo Stress Test a Lesson Plan Using AI as a Planning Partner
        05:40
    • Lesson 08: Content and Activity Creation With Human Oversight

      10:54
      • 8.01 Creating Instructional Material with AI
        03:03
      • 8.02 Demo Generate and Refine an AI Created Learning Activity
        07:51
    • Lesson 09: Automation, Efficiency, and What Not to Automate

      14:52
      • 9.01 Balancing AI Automation and Human Judgment
        05:01
      • 9.02 Demo Evaluate Which Teaching Tasks Should Be Automated or Retained
        09:51
    • Lesson 10: Using AI to Support Understanding, Not Just Answers

      14:35
      • 10.01 AI for Deeper Student Thinking
        04:04
      • 10.02 Demo Facilitate a Guided Problem Solving Interaction Using AI
        10:31
    • Lesson 11: Practice, Feedback, and Skill Development With AI

      08:58
      • 11.01 AI for Targeted Learning Support
        02:46
      • 11.02 Demo Create Targeted Practice and Feedback Using AI
        06:12
    • Lesson 12: Guardrails for Student-Facing AI Use

      10:00
      • 12.01 Guiding Students to Use AI Responsibly for Learning
        03:09
      • 12.02 Demo Redesigning an Assignment to Promote Responsible AI Use with Gemini
        06:51
    • Lesson 13: Why Traditional Assessments Break Under AI

      06:50
      • 13.01 Traditional Assessments and the AI Shift
        02:43
      • 13.02 Demo Generate a Rubric Passing Assessment Response Using AI
        04:07
    • Lesson 14: Redesigning Assessments Without Burning Down the System

      08:21
      • 14.01 Rethinking Assessment in an AI Rich Classroom
        02:32
      • 14.02 Demo Modify an Existing Assessment to Capture Process and Reasoning Using Chatgpt
        03:11
      • 14.03 Redesigning Assesments Without Burning Down the System
        02:38
    • Lesson 15: Ethical Risks, Bias, and Limits of AI in Education

      07:50
      • 15.01 Keeping Ethics and Judgment Central with AI
        04:08
      • 15.02 Demo Evaluating AI Outputs for Bias Assumptions and Ethical Risk with ChatGPT
        03:42
    • Lesson 16: Policy, Guidelines, and Guardrails That Actually Work

      11:53
      • 16.01 Policy Guidelines and Guardrails
        02:38
      • 16.02 Demo Translate a Vague AI Policy Into Clear Actionable Guidance
        09:15
    • Lesson 17: Preparing for Whats Next in AI and Education

      13:32
      • 17.01 Preparing for What’s Next in AI and Education
        05:54
      • 17.02 Differentiate Signal from Noise in Future AI Trends in Education
        07:38
    • Lesson 18: Key Takeaways

      02:34
      • Key Takeaways
        02:34
      • Knowledge Check
About the Course

AI is already in classrooms - the question is whether educators are using it with intention or leaving it to students and circumstance to figure out. This course is built for educators who want to engage with AI thoughtfully rather than reactively. Working through seventeen focused lessons with hands-on demos in each one, you will develop a clear-eyed understanding of where AI fits in teaching and where it does not, how to use it as a genuine teaching partner, how to redesign assessments that remain meaningful in an AI-rich environment, and how to build the governance and guardrails that protect responsible learning.

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FAQs

  • What AI tools are used in the demos?

    The demos use ChatGPT, Claude, and Gemini across different lessons - reflecting the reality that educators will encounter multiple AI tools in institutional and personal use rather than a single platform. Each demo shows how a specific educational task plays out with a real AI tool, making the learning concrete rather than theoretical.

  • Do I need prior AI experience to take this course?

    No prior AI experience is required. The course starts from the current state of AI adoption in education and builds progressively - every concept is explained in accessible language and demonstrated with real tools so you are never expected to have technical knowledge you have not been given.

  • Who should enroll in this course?

    This course is designed for teachers and educators at all levels, curriculum and instructional designers, school and institution leaders who are developing AI policy, EdTech professionals building AI-integrated learning experiences, and anyone working in or supporting educational environments who wants to engage with AI thoughtfully rather than reactively.

  • Is AI replacing teachers?

    No - and this course is built around that premise. AI changes what teachers need to be skilled at and what students need to develop, but the relational, ethical, and cognitive dimensions of teaching remain irreplaceable human responsibilities. Lessons 05 and 09 address this directly, covering where AI genuinely adds value and where human judgment must remain central.

  • What is the assessment redesign content and why does it matter?

    Lessons 13 and 14 address one of the most urgent and underaddressed challenges AI has created for education - the fact that conventional assessments can now be passed by AI without the learning they were designed to measure. Lesson 13 demonstrates the problem directly using Claude to generate a rubric-passing assessment response, and Lesson 14 covers practical approaches to assessment redesign that remain meaningful when AI is accessible to students.

  • Does this course cover responsible AI use for students?

    Yes, Lesson 12 is dedicated to guiding students toward responsible AI use for learning - covering how to frame AI as a learning tool rather than a shortcut and how to redesign assignments that promote genuine engagement rather than AI-dependent output. The demo uses Gemini to walk through an assignment redesign for responsible student AI use.

  • What does the ethical risks lesson cover?

    Lesson 15 covers the ethical dimensions that every educator using AI needs to understand - including bias embedded in AI-generated content, assumptions that AI outputs normalize without flagging, the limits of AI judgment in educational contexts, and how to maintain human ethical oversight rather than delegating moral responsibility to the tool.

  • How does the policy lesson work?

    Lesson 16 covers what makes AI policy in educational institutions actually effective - as opposed to the vague, unenforceable guidelines that most institutions currently have. The demo translates a vague institutional AI policy into clear, actionable guidance using AI - modeling the kind of practical policy work that educators and administrators need to do.

  • How long does this course take to complete?

    The course is fully self-paced across eighteen lessons with no fixed deadlines. Each lesson includes a practical demo, making the most effective approach one that works through each conceptual lesson and its demo together before moving to the next.

  • Is there a certificate included?

    Yes, you receive a free certificate upon completion that you can add to your LinkedIn profile or resume to demonstrate your AI in education knowledge and skills to institutions, hiring committees, and professional contacts.

  • Can I access this course on my phone?

    Yes, the course is accessible on any device, though following along with the demos will be most productive on a laptop or desktop where you can work with the AI tools alongside the course content.

  • What should I do immediately after finishing this course?

    Return to the assessment redesign content in Lessons 13 and 14 and apply it to one real assessment you currently use - modify it using the frameworks from the course and test the revised version in your next teaching cycle. Assessment design is where the impact of AI in education is most immediate and most consequential, and a real redesign you implement yourself is the most valuable thing this course can produce for your practice.

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