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Certificate in AI in Education
Westminster College London

Practical tools & ethical frameworks for AI-driven teaching

Summary

Price
£15 inc VAT
Study method
Distance learning
Duration
30 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of Completion - Free
Assessment details
  • Registration fee - £37
Additional info
  • Tutor is available to students

1 student purchased this course

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Overview

An eight-week, fully online certificate for educators and edtech professionals who want practical skills and ethical frameworks to integrate AI into teaching, assessment and learning design.

Certificates

Assessment details

Registration fee

£37

Description

This eight-week, fully online programme equips education professionals with the knowledge and practical skills to adopt AI responsibly in classrooms and learning systems. Combining self-paced study with weekly instructor-led seminars and peer workshops, the course demystifies AI and machine learning concepts, shows how to evaluate and select AI tools, and guides you to design AI-enhanced lessons, personalised learning pathways and reliable AI-enabled assessment. The course also covers legal, privacy and ethical issues (e.g., GDPR/FERPA) and concludes with a capstone proposal addressing a real-world educational challenge.

What you will learn (key learning outcomes)

  • Understand foundational AI and machine-learning concepts (supervised, unsupervised, deep learning).

  • Critically evaluate AI educational platforms using evidence-based criteria.

  • Design adaptive learning pathways and personalised assessments.

  • Implement AI-enabled assessment and feedback loops with attention to reliability and validity.

  • Navigate ethical, legal and privacy considerations and mitigate algorithmic bias.

  • Reframe the educator’s role in AI-augmented classrooms and build learners’ AI literacy.

  • Produce a capstone proposal for an innovative, scalable AI solution in education.

Course structure / modules

  1. Foundations of Artificial Intelligence and Machine Learning

  2. Survey of AI Tools for Teaching and Learning

  3. Personalisation and Adaptive Learning

  4. AI-Enabled Assessment and Feedback

  5. Ethical, Legal, and Privacy Considerations

  6. Redefining the Educator’s Role in an AI-Driven Classroom

  7. Designing AI-Enhanced Learning Experiences

  8. Futurescape of AI in Education.

Who is this course for?

Ideal for K–12 and higher-education teachers, instructional designers, curriculum developers, school leaders, edtech professionals and policy makers interested in AI integration in education.

Requirements

No requirements

Career path

  • EdTech Specialist / Coordinator — Implement and train staff on classroom AI tools.

  • Instructional Designer (AI focus) — Build adaptive, AI-enhanced lessons and courses.

  • Learning Analytics Specialist — Turn learner data into actionable insights.

  • AI Assessment Designer — Design and validate AI-enabled assessments.

  • PD Trainer / Coach (AI in Schools) — Deliver CPD to teachers on safe AI use.

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FAQs

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