AI-Supported Teaching and Learning Course

Name: AI-Supported Teaching and Learning Practice Course
Availability: InStock

Design lessons, resources, learner support, assessment, and feedback with responsible AI use and clear educator oversight.

This 1-week course has 76 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 16 – 20 November 2026 in Kuala Lumpur. Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online.

AI-Supported Teaching and Learning Course

Duration: 1 Week5 days
Next start: 16 November 2026Kuala Lumpur
Scheduled dates: 76
Classroom cities: 54Kuala Lumpur, Accra, Singapore, Phuket and more
Format: Classroom and live online
Fee per participant: €1,500–€14,000Average €5,750

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AI-Supported Teaching and Learning Practice Course

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What does this course cover?

Overview

AI-Supported Teaching and Learning Practice Course is a one-week course for teachers, academic coordinators, instructional designers, learning technology teams, and education quality personnel, who leave with an AI-Supported Teaching Implementation Plan. Participants design lessons and activities, review resources, support learners, plan formative assessment and feedback, address academic integrity and accessibility, and maintain educator oversight. Agile Leaders Training Center provides training in AI-supported teaching and learning practice.

Who Should Attend

Teaching personnel responsible for lessons, activities, learner guidance, and classroom decisions
Academic coordination personnel responsible for curriculum alignment, assessment, and teaching quality
Instructional design personnel responsible for learning activities, resources, and course structure
Learning technology personnel responsible for digital tools, access, and educator support
Education quality personnel responsible for evidence, review, integrity, and improvement

The course assumes participants contribute to teaching or learning design, and it leaves out education policy, school administration, general digital transformation, and technical AI development.

Departments and Industries

The course supports responsible AI-assisted practice across education and workplace learning.

Schools and classroom teaching functions
Universities and academic departments
Vocational and professional learning providers
Curriculum and instructional design teams
Corporate learning and development functions
Education quality and learning technology teams

Learning Objectives

By the end of this course, participants will be able to:

Apply a suitability screen to teaching and learning cases
Build lesson and activity designs with educator oversight
Evaluate AI-assisted learning resources and learner support
Use formative assessment and feedback tools
Analyze integrity, accessibility, privacy, and bias risks
Build an AI-Supported Teaching Implementation Plan

Course Agenda

Day 1: Teaching Use Cases and Oversight

AI Teaching Use-Case and Suitability Map
Learning Purpose and Educator Decision Canvas
Human Oversight and Intervention Matrix
Learner Impact and Participation Screen
Responsible Use Boundary Checklist

Day 2: Lessons, Activities, and Resources

AI-Assisted Lesson Design Canvas
Learning Activity Alignment Grid
Learning Resource Accuracy Review Checklist
Source, Context, and Bias Review Sheet
Educator Approval and Revision Record

Day 3: Learner Support and Accessibility

Learner Need and Support Planning Map
Personalization Boundary Decision Guide
Learning Accessibility and Inclusion Screen
Student Question and Guidance Workflow
Support Escalation and Human Handoff Log

Day 4: Assessment, Feedback, and Integrity

Formative Assessment Design Sheet
Feedback Quality and Actionability Rubric
Assessment Evidence Verification Checklist
Academic Integrity Response Guide
Learning Progress and Adjustment Record

Day 5: AI-Supported Teaching Practice

Suggested Exercise: Screen a Teaching Use Case
Suggested Exercise: Design and Review a Lesson Activity
Suggested Exercise: Build Learner Support and Accessibility Steps
Suggested Exercise: Review Assessment, Feedback, and Integrity Evidence
Capstone Exercise: AI-Supported Teaching Implementation Plan

Practical Exercises

The course uses suggested activities that convert teaching cases into responsible AI-supported practice.

Suggested activity: map a teaching case, learning purpose, educator decisions, learner impact, and responsible-use boundaries
Suggested activity: design a lesson activity, review resource accuracy and bias, and record educator revisions
Suggested activity: plan learner support, check accessibility, route questions, and document human handoffs
Suggested activity: design formative assessment, review feedback, verify evidence, and address an integrity concern

FAQs

Who suits AI-supported teaching and learning practice, and what does it assume?

AI-supported teaching and learning practice suits personnel responsible for lessons, curriculum, resources, learner support, assessment, feedback, quality, or learning technology. It assumes familiarity with teaching or learning responsibilities.

How does AI-supported teaching differ from instructional design training?

AI-supported teaching focuses on educator use of AI across lessons, resources, learner support, assessment, feedback, integrity, accessibility, and oversight, while instructional design training centers on the broader design of learning experiences.

How can educators review AI-assisted learning resources?

Educators should check accuracy, source quality, context, bias, accessibility, curriculum alignment, learner suitability, privacy boundaries, and required revisions before using an AI-assisted resource.

How should AI support formative assessment and feedback?

AI should assist with question design, evidence organization, feedback drafting, and learning-pattern review while educators verify evidence, interpret learner needs, and retain responsibility for judgments.

What belongs in an AI-Supported Teaching Implementation Plan?

The plan should contain selected use cases, learning purposes, lesson tools, resource checks, learner-support steps, assessment and feedback controls, integrity responses, accessibility checks, oversight roles, and review measures.

Conclusion

Participants take back an AI-Supported Teaching Implementation Plan linking learning purposes, lesson activities, resources, learner support, assessment, feedback, integrity, accessibility, and oversight. It changes how educators select, review, and control AI-supported teaching practices. The plan supports traceable classroom decisions and continued human responsibility.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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When and where does this course run?

Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Kuala Lumpur	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€5,200
Accra	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€4,850
Singapore	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€5,700
Phuket	Week 48, 2026 29 November – 3 December 2026	1 Week	Onsite	€6,000
Bali	Week 49, 2026 6 – 10 December 2026	1 Week	Onsite	€5,700
Jakarta	Week 52, 2026 21 – 25 December 2026	1 Week	Onsite	€5,700
Prague	Week 53, 2026 28 December 2026 – 1 January 2027	1 Week	Onsite	€6,000
Manama	Week 53, 2027 3 – 7 January 2027	1 Week	Onsite	€4,700
Cairo	Week 01, 2027 4 – 8 January 2027	1 Week	Onsite	€4,100
Berlin	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€5,700
Muscat	Week 02, 2027 17 – 21 January 2027	1 Week	Onsite	€5,700
Lagos	Week 02, 2027 17 – 21 January 2027	1 Week	Onsite	€4,100
Montreux	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€7,500
Dubai	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€4,500
Madrid	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€5,700
Abu Dhabi	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€4,700
Lisbon	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Bangkok	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€6,000
Tbilisi	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€5,000
Manama	Week 09, 2027 7 – 11 March 2027	1 Week	Onsite	€4,700

Frequently asked questions

When does this course next run?

The next date runs 16 – 20 November 2026 in Kuala Lumpur. It is one of 76 dates scheduled up to November 2027.

Where is this course held?

In a classroom in 54 cities: Kuala Lumpur, Accra, Singapore, Phuket, Bali, Jakarta, Prague, Manama, and more. It is also scheduled as live online sessions.

Can I attend this course online?

Yes. One date is scheduled as a live online session: 8 – 12 March 2027, from €1,500 per participant.

How long is the course?

1 Week. Each date shows its start and end dates.

How much does the course cost?

Fees per participant run from €4,100 (Cairo) to €14,000 (San Diego) in a classroom, and from €1,500 live online. Each date shows its own fee.

What does this course cover?

OverviewAI-Supported Teaching and Learning Practice Course is a one-week course for teachers, academic coordinators, instructional designers, learning technology teams, and education quality personnel, who leave with an AI-Supported Teaching Implementation Plan. Participants design lessons and activities, review resources, support learners, plan formative…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Can this course be run for our team?

Yes. Tell us the number of participants and your preferred dates and city through our training request form.

AI-Supported Teaching and Learning Course