FA-0654Agentic & Generative AIAI for Leaders & Business

Presentations with Gamma AI

Plan, draft, refine and review an AI-assisted deck

Build a short presentation in Gamma, refine its narrative with an LLM, verify factual content and review sharing or export before a brief capstone presentation.

Introduction

Why this course

This hands-on course combines presentation planning with Gamma's AI-assisted drafting and editing tools. Participants define an audience and purpose, develop a clear story, review an initial draft and improve the text, visuals and layout.

An optional approved LLM, such as ChatGPT, supports titles, alternative wording and audience questions. Generated text, charts and suggested evidence are not factual sources: participants check claims, use supported data and label illustrative examples before sharing.

The one-day capstone is a short deck, not a guarantee of a polished large presentation in minutes. Account features, generation limits, branding, analytics and sharing options depend on the current plan and permissions. Practice uses nonconfidential content and checks readability and export differences.

Learning outcomes

The course teaches participants to:

Define a presentation objective, audience, key messages and story structure.
Create and revise an AI-generated Gamma draft from an appropriate prompt or outline.
Improve cards, layouts, themes and visual consistency using available features.
Use an approved LLM to refine copy and anticipate audience questions without inventing evidence.
Review factual claims, visual relevance, privacy and accessibility.
Export to supported formats or share with appropriate access; use PPTX upload for Google Slides where needed.
Present a short capstone deck and use feedback to refine it.

Prerequisites

Basic familiarity with creating presentations (PowerPoint, Google Slides or equivalent).
A laptop with internet access and ability to sign up or log in to Gamma AI.
A clear idea of a presentation topic they wish to build during the day (or willingness to define one at the start).
Willingness to experiment and iterate (this is hands‑on, not purely lecture).

An authorised Gamma account with sufficient access for the selected exercises and, if used, an approved LLM account. Any subscription charges are arranged separately. Use a nonconfidential topic and source-backed material; PowerPoint or Google Slides access is useful for export review.

Training outline

6 modules

011. Orientation and Presentation Planning1 topics

Introduction and account orientation

Course objectives and agenda
Participant orientation: topic selection and setting expectations
Log in to the authorised Gamma account and explore the current interface

Audience, purpose and narrative

Defining purpose and audience: slide decks as communication tools, not just aesthetic objects
Structuring slides: opening, middle (problem, solution, evidence), closing/call‑to‑action
Mapping content to visuals: when text‑heavy slides fail, how AI can help

022. Drafting and Polishing in Gamma1 topics

Gamma fundamentals

Overview of Gamma: what it is, what it can and cannot do.
Start from a prompt, pasted outline or supported import; review imported content and access requirements
Select format, tone, card count and theme within account limits
Generating the initial deck: AI draft.

Cards, branding and visuals

Editing the AI‐generated cards: adjusting text, moving slides, refining structure.
Use available themes, colours, fonts and approved branding; custom features may depend on the plan
Add reviewed visuals, charts and supported embeds; verify chart data and permitted image use
Layout best practices: readability, minimal text, effective imagery, accessibility.

033. Refining Content with LLMs5 topics

Introduction to LLMs in the context of presentations: how ChatGPT can help refine messaging, craft better titles, generate alternative phrasing.
Copy or obtain relevant draft text, refine it with an approved LLM and return the reviewed copy to Gamma
Explore audience questions, objections and narrative alternatives; find and verify supporting evidence rather than generating purported factual data
Best‑practice prompts for ChatGPT when working alongside Gamma: sample templates, tuning tone and style.
Check factual support, relevance, privacy, accessibility and brand fit; label illustrative data

044. Sharing, Export and Delivery4 topics

Export PDF or PowerPoint (PPTX), use PPTX upload for Google Slides, or share a Gamma link with appropriate permissions
Review fonts, layouts, embeds and other differences after export or Google Slides import
Live sharing versus offline delivery; demonstrate available analytics if the plan and access permit, and avoid equating views with successful communication
Rehearsal, available speaker-note/delivery tools and engaging the audience

055. Capstone: Build and Review a Short Deck6 topics

Participants select their topic (or confirm the one pre‑chosen).
Step‑by‑step: using Gamma to generate the first draft of the deck.
Use ChatGPT (or alternative LLM) to refine slide copy and narrative.
Customize visuals, theme, layout, branding in Gamma.
Export the final deck and simulate sharing or delivery.
Short participant presentations and feedback, with presentation time adjusted to group size

066. Review and Next Steps3 topics

Review of key learnings.
Discussion: how to embed Gamma + LLM workflows into participants’ regular work.
Q&A: what else to watch out for (data accuracy, brand consistency, AI limitations).

A programme built around your team.

Share your training goals and requirements.