AI Content Creation & Digital Persona Course

Lesson 1 • Setting Up Your AI Toolkit

Guides students through selecting, accessing, and organizing AI tools for a content workflow. Covers account setup, API basics, and tool comparison criteria.

Lesson 2 • The AI Content Landscape Today

Maps the current ecosystem of generative AI tools across text, image, audio, and video. Establishes shared vocabulary used throughout the course.

Lesson 3 • Responsible Use and Ethical Baselines

Introduces content authenticity, disclosure norms, and bias awareness as non-negotiable baselines. Connects ethical practice to professional credibility.

Lesson 1 • Advanced Prompt Architectures

Introduces multi-step prompt chains, conditional logic, and meta-prompting for complex content projects. Prepares students for automated pipeline design.

Lesson 2 • Debugging and Improving Outputs

Diagnoses common failure modes—hallucination, vagueness, off-tone—and applies targeted fixes. Builds a systematic troubleshooting mindset for prompt iteration.

Lesson 3 • Core Prompting Techniques

Covers zero-shot, few-shot, chain-of-thought, and iterative prompting methods. Each technique is matched to specific content creation scenarios.

Lesson 4 • Anatomy of an Effective Prompt

Breaks down the components of a well-formed prompt: role, context, task, format, and constraints. Students practice isolating each element for maximum output control.

Lesson 1 • Email Marketing and Newsletter Copy

Produces subject lines, body copy, and CTAs using AI with conversion-focused prompting. Covers personalization tokens and sequence writing.

Lesson 2 • Long-Form Blog and Article Writing

Uses AI to outline, draft, and refine long-form articles while maintaining authorial voice. Covers SEO integration and structural best practices.

Lesson 3 • Social Media Content at Scale

Generates platform-specific posts, captions, and hashtag sets using AI. Addresses tone variation across LinkedIn, Instagram, X, and short-video scripts.

Lesson 4 • Editing and Quality Control Workflows

Establishes a human-in-the-loop editing process to catch AI errors and elevate output quality. Introduces AI-assisted proofreading tools as a complement to human review.

Lesson 1 • Visual Prompting Fundamentals

Introduces image model mechanics and the role of descriptive language in shaping outputs. Students write their first structured visual prompts.

Lesson 2 • Sourcing, Rights, and Usage Standards

Addresses ownership questions, commercial use considerations, and platform-specific image policies. Establishes a rights-aware workflow for professional use.

Lesson 3 • Style Consistency and Brand Visuals

Builds repeatable visual styles using seed values, style references, and prompt templates. Connects visual consistency to brand identity standards.

Lesson 1 • Persona Documentation and Blueprint

Consolidates all persona elements into a structured reference document used by content teams. Covers naming, voice samples, visual assets, and usage guidelines.

Lesson 2 • What Is a Digital Persona?

Distinguishes personal brand, digital persona, and online identity as distinct but related constructs. Establishes the strategic value of a designed persona.

Lesson 3 • Visual Identity for Digital Personas

Applies AI image tools to develop a consistent visual identity including headshots, colour palettes, and graphic styles. Aligns visual choices with persona attributes.

Lesson 4 • Core Persona Attributes and Positioning

Defines the persona's values, voice, expertise domain, and unique positioning statement. Creates the foundational document used in all subsequent content decisions.

Lesson 1 • Narrative Frameworks and Storytelling

Applies story structures—hero's journey, problem-solution, before-after—to persona-driven content. Ensures narrative consistency across platforms and formats.

Lesson 2 • Maintaining Consistency at Scale

Builds systems—style guides, prompt locks, review checklists—to preserve voice fidelity as content volume grows. Addresses drift and correction protocols.

Lesson 3 • Defining Voice and Tone Parameters

Establishes measurable voice attributes—formality, humour, authority, warmth—as prompt-ready parameters. Connects voice definition to audience expectations.

Lesson 1 • Publishing, Scheduling, and Automation

Integrates AI content outputs with scheduling and automation tools for hands-off publishing. Covers workflow triggers, approval gates, and monitoring dashboards.

Lesson 2 • Platform Ecosystem Mapping

Analyses the content requirements, algorithms, and audience behaviours of major platforms. Matches persona attributes to platform-specific content strategies.

Lesson 3 • Content Repurposing and Atomisation

Transforms a single content asset into multiple platform-specific formats using AI. Maximises content ROI while maintaining persona voice consistency.

Lesson 4 • AI-Powered Content Calendar Planning

Uses AI to generate, populate, and optimise a multi-platform content calendar. Covers cadence planning, seasonal hooks, and batch production scheduling.

Lesson 1 • A/B Testing Content with AI

Designs controlled experiments to test headlines, formats, CTAs, and posting times. Uses AI to generate variants and interpret results at speed.

Lesson 2 • Defining Content Performance Metrics

Establishes KPIs aligned with persona goals—reach, engagement, conversion, authority. Connects each metric to specific content decisions and AI prompt adjustments.

Lesson 3 • Scaling Content Operations

Builds repeatable systems for growing content output without proportional effort increases. Covers team structures, SOPs, and AI delegation frameworks.

Lesson 4 • AI-Assisted Analytics and Reporting

Uses AI tools to synthesise platform analytics into actionable insights and narrative reports. Reduces manual reporting time while improving strategic clarity.