Creating Presentations with AI Course

Lesson 1 • Setting Up Your AI Workspace

Guides initial account setup, permissions, and interface orientation across leading platforms. Ensures learners are ready to practise immediately in subsequent chapters.

Lesson 2 • Evaluating Tools for Your Workflow

Applies structured criteria to compare tools on quality, speed, and integration. Prepares learners to make defensible tool choices in professional settings.

Lesson 3 • What AI Presentation Tools Do

Defines AI-assisted presentation creation and distinguishes it from traditional software. Sets the conceptual baseline for the entire course.

Lesson 1 • Describing Slide Content Precisely

Teaches techniques for specifying slide count, layout, and content density in prompts. Reduces revision cycles by aligning AI output with intent from the start.

Lesson 2 • Prompt Libraries and Reuse

Establishes systems for organising, versioning, and sharing prompt templates across teams. Scales individual prompting skill into a repeatable organisational asset.

Lesson 3 • Audience and Tone Calibration

Demonstrates how to encode audience expertise level and desired tone into prompts. Ensures AI-generated content matches the communication register of any professional context.

Lesson 4 • Iterative Prompt Refinement

Covers follow-up prompting, constraint addition, and negative instructions to steer AI output. Builds the habit of treating prompting as a dialogue rather than a single command.

Lesson 1 • Producing Body Slide Content

Generates varied body slide types including data slides, process slides, and comparison slides. Covers the bulk of deck production work in any professional presentation.

Lesson 2 • Generating Outlines and Story Arcs

Uses AI to draft presentation outlines aligned with narrative frameworks like problem-solution and SCQA. Provides the structural scaffold that all subsequent slide content fills.

Lesson 3 • Editing and Fact-Checking AI Output

Establishes a systematic review process to catch AI hallucinations, inaccuracies, and tone mismatches. Ensures professional accountability for all AI-generated content.

Lesson 4 • Creating Title and Agenda Slides

Generates compelling opening slides that set context and manage audience expectations. Establishes the first impression that frames the entire deck.

Lesson 1 • Narrative Frameworks for Business Decks

Applies frameworks such as Pyramid Principle and Minto logic to organise AI-generated content. Transforms raw AI output into a persuasive, executive-ready argument structure.

Lesson 2 • Slide Flow and Transition Logic

Designs logical transitions between slides so the audience always knows where they are. Prevents cognitive overload by creating clear signposting throughout the deck.

Lesson 3 • Audience Analysis and Message Mapping

Identifies audience needs, knowledge gaps, and decision criteria before structuring content. Ensures every structural choice serves the specific audience rather than a generic one.

Lesson 1 • Design Principles for Slide Decks

Covers hierarchy, contrast, alignment, and whitespace as they apply to slide design. Gives learners the vocabulary to evaluate and direct AI design output effectively.

Lesson 2 • Data Visualization with AI

Converts raw data inputs into AI-recommended chart types and formatted visualisations. Ensures data slides communicate clearly without requiring manual chart-building skills.

Lesson 3 • Maintaining Visual Consistency Across Slides

Applies AI style-lock and master-slide features to enforce design consistency at scale. Prevents visual fragmentation when multiple contributors work on the same deck.

Lesson 4 • Applying AI Themes and Templates

Demonstrates how to select, apply, and modify AI-generated themes to match brand requirements. Connects design automation to real-world brand consistency needs.

Lesson 1 • Adding Speaker Notes with AI

Generates and refines speaker notes that complement slide content without duplicating it. Prepares presenters to deliver confidently without reading directly from slides.

Lesson 2 • Tailoring Content for Specific Audiences

Adjusts AI-generated slide copy, examples, and data references to resonate with a target audience. Moves presentations from generic to genuinely relevant for each stakeholder group.

Lesson 3 • Repurposing Decks for New Contexts

Uses AI to rapidly adapt an existing deck for a new audience, purpose, or format. Multiplies the value of a single well-built presentation across multiple use cases.

Lesson 4 • Quality Control and Final Review

Applies a structured pre-delivery checklist covering content, design, and technical accuracy. Ensures every customised deck meets professional standards before it reaches an audience.

Lesson 1 • Shared Prompt and Template Libraries

Builds centralised repositories of approved prompts and slide templates for team-wide reuse. Standardises AI output quality across contributors regardless of individual skill level.

Lesson 2 • Real-Time Collaboration Features

Leverages co-editing, commenting, and AI suggestion features within collaborative platforms. Reduces review cycle time by enabling simultaneous contribution and feedback.

Lesson 3 • Version Control and Change Management

Implements naming conventions, version history, and change logs for AI-assisted decks. Protects against content loss and enables rollback when AI revisions go wrong.

Lesson 4 • Roles and Responsibilities in AI-Assisted Teams

Defines who owns prompting, design review, and content approval in a team workflow. Prevents duplication and gaps when multiple contributors use AI tools on the same project.

Lesson 1 • Ethical and Strategic AI Use

Addresses intellectual property, transparency, and bias risks in AI-generated presentations. Equips learners to make responsible decisions that protect their organisation and audience.

Lesson 2 • Interactive and Nonlinear Deck Design

Builds branching presentations that adapt to audience responses and presenter choices. Transforms static decks into flexible tools for workshops, demos, and sales conversations.

Lesson 3 • Dynamic and Data-Driven Presentations

Connects live data sources to AI presentation tools for auto-updating slide content. Enables real-time dashboards and reports that eliminate manual data refresh work.

Lesson 4 • AI-Generated Multimedia Elements

Incorporates AI-generated audio narration, video clips, and animated graphics into slides. Elevates presentation production value without requiring multimedia production expertise.