About this Event
Course overview
Effective teaching and presenting require a clear understanding of the audience, a purposeful sequence, and opportunities for participants to apply what they learn.
This program explores how AI can support that design process. You will develop a lesson, workshop, professional training session, or presentation by connecting learning objectives with content, activities, supporting materials, and assessment.
The emphasis is on maintaining your expertise and instructional judgment throughout development. You will evaluate AI-generated suggestions for accuracy, relevance, accessibility, and audience suitability. By the end of the day, you will have a coordinated draft learning package and a repeatable process for developing future sessions.
Who should attend
Teachers, school leaders, curriculum coordinators, corporate trainers, professional development providers, workshop facilitators, consultants, speakers, business owners, and community educators.
Participants may develop materials for children or adults. Early childhood applications focus on educator preparation and adult-led learning experiences.
Prerequisites and preparation
No programming or previous AI experience is required. Participants should know the subject they intend to teach and have basic document or presentation skills. Bring a laptop and either an existing session to improve or a defined topic for a new one. Use anonymized examples and materials you are authorized to adapt.
Learning outcomes
By the end of the program, participants will be able to:
Define audience needs and observable learning objectives.
Use AI to develop a coherent instructional sequence.
Evaluate generated content for accuracy and audience suitability.
Design activities and coordinated resources connected to learning goals.
Develop an assessment approach and a final review process.
COURSE 4 | CURRICULUM AND PARTICIPANT DELIVERABLES
Curriculum
Six one-hour modules including instruction, discussion, and applied work.
Module 1 Defining the Audience and Intended Results
Identify what participants already know, what they need, and what they should be able to do afterward. Establish the purpose and scope before developing content.
Working output: An audience profile and learning objectives.
Module 2 Structuring Content and Explanation
Connect new ideas with existing knowledge. Use AI to propose explanations, examples, and scenarios, then evaluate them for accuracy, clarity, and relevance.
Working output: A session outline and reviewed sample explanation.
Module 3 Designing Participation and Application
Create activities requiring learners to discuss, decide, practice, or solve a problem. Examine how instructions, timing, and feedback affect each activity’s usefulness.
Working output: One fully specified activity tied to an objective.
Module 4 Developing Presentation and Participant Materials
Create a slide sequence, speaker notes, and a supporting resource. Connect what you present with what participants do and what they take away.
Working output: A draft presentation sequence and participant handout.
Module 5 Adapting Learning and Assessing Understanding
Adapt examples for different experience levels and language needs. Consider accessibility and human review of translated material. Develop questions or tasks that reveal understanding.
Working output: An adapted content example and assessment tool.
Module 6 Rehearsing and Refining Delivery
Present a short segment and receive structured feedback. Review pacing, clarity, participation, and alignment with intended results. Identify revisions required before delivery.
Working output: A revised session plan and final review checklist.
Learning experience
Demonstrations, design exercises, peer discussion, and a brief presentation rehearsal. Participants develop one learning experience tailored to their audience and professional setting.
What participants will take away
An audience profile, learning objectives, session plan, draft slide sequence, participant resource, interactive activity, assessment tool, and reusable development instructions.
Networking: One hour of facilitated peer discussion, professional connection, and exchange of implementation ideas, in person at Guild Hall Learning in Cambridge.
Delivery schedule and review notes
Time Eastern
Session
9:00–11:00 AM
Modules 1 and 2
11:00–11:15 AM
Break — 15 minutes
11:15 AM–12:15 PM
Module 3
12:15–12:45 PM
Lunch break — 30 minutes
12:45–2:45 PM
Modules 4 and 5
2:45–3:00 PM
Break — 15 minutes
3:00–4:00 PM
Module 6
4:00–5:00 PM
Professional networking and facilitated discussion
Preparation and delivery
Bring a laptop, charger, current web browser, and access to your email for account verification. Use nonconfidential or anonymized materials. Course-specific accounts and any subscription requirements will be confirmed by the instructor before tickets go on sale; do not purchase subscriptions in advance. The day includes a 30-minute lunch break and two 15-minute rest breaks. Lunch is not provided; participants may bring lunch or purchase it from local sandwich shops. Snacks and water are available.
Instructor biography
David Martelli
Educator, Technologist and Entrepreneur | Founder, Guild Hall Learning
David Martelli brings together three perspectives that shape how he teaches AI: the technical depth of a systems engineer, the practical judgment of a business owner, and more than a decade of experience helping people understand complex ideas.
His career includes more than 15 years in the high-tech industry, spanning systems engineering, program management, and software development, with work at Northrop Grumman and the U.S. Department of Defense. That experience grounds his instruction in the realities of building and implementing technology—where reliability, clear decisions, and execution matter.
David also brings extensive classroom and educational leadership experience. He has taught robotics, computer science, physics, and mathematics in Boston public schools and served as Director of Technology and Head of Computer Science and Engineering. Across these roles, he has developed the ability to recognize where understanding breaks down, explain difficult concepts in familiar terms, and guide learners toward independent application.
Today, David leads Guild Hall Learning, a network of STEM education centers where he develops programs and teaches audiences ranging from small groups to full auditoriums. As an entrepreneur and educator, he understands both the demands of running an organization and the process of building new capabilities.
His workshops bring that combination directly to professionals navigating AI. Participants learn how the technology works, where it can contribute to their goals, and how to evaluate and apply it with sound judgment. David makes sophisticated ideas approachable while preserving the depth people need to put them to work.
Registration and participant information
Attendance and tuition
Each course takes place in person at Guild Hall Learning from 9:00 AM to 5:00 PM Eastern. Enrollment is limited to 12 participants per course. Tuition is $695, including Eventbrite ticketing fees. Guild Hall absorbs these fees; no separate ticketing fee is added for the participant. Online attendance is not currently offered.
Accounts and subscriptions
Proposed preparation: Bring a laptop and charger, use a current web browser, and have access to your email for account verification. An account with the instructor-designated conversational AI platform will be required for applied exercises. Additional creative or assistant-building accounts may be needed for particular courses. David will confirm the platform list and whether free accounts are sufficient before ticket sales open. Participants should not purchase paid subscriptions until course-specific instructions are issued.
Event venue & nearby stays
Guild Hall - Educational STEM Hub, 17 Sellers Street, Cambridge, United States
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