AI Content Writing Course

Lesson 1 • Ethical and Legal Considerations

Addresses copyright, disclosure norms, and responsible use policies relevant to AI-generated content. Establishes professional standards applied throughout the course.

Lesson 2 • Setting Up Your AI Workspace

Walks through account setup, interface navigation, and basic settings for leading tools. Removes technical friction so focus stays on writing skills.

Lesson 3 • How AI Language Models Work

Covers token prediction, training data, and model architecture at a conceptual level. Grounds all later tool decisions in accurate expectations.

Lesson 1 • Iterative Prompting and Refinement

Introduces Follow-Up Prompting, Chaining, and Critique Loops to Improve Initial Outputs. Builds the Revision Mindset Essential for Professional-Quality AI Content.

Lesson 2 • Advanced Prompt Techniques

Covers Few-Shot Examples, Negative Constraints, and Structured Output Prompts. Unlocks Precision Control Needed for Complex Content Formats Introduced Later.

Lesson 3 • Anatomy of an Effective Prompt

Breaks Down the Role, Context, Instruction, and Format Components of a Strong Prompt. Provides a Reusable Framework Applied in Every Subsequent Chapter.

Lesson 4 • Controlling Tone, Voice, and Style

Teaches Prompt Variables That Shift Formality, Brand Voice, and Stylistic Register. Directly Enables Brand-Consistent Content Production Covered in Later Chapters.

Lesson 1 • Audience and Persona Development

Uses AI to Draft and Stress-Test Reader Personas Based on Demographic and Psychographic Inputs. Ensures All Content Produced Later Is Audience-Centered.

Lesson 2 • Brainstorming and Ideation Techniques

Applies AI as a Brainstorming Partner Using Divergent and Convergent Prompting Strategies. Produces a High-Volume Idea Pool That Feeds Editorial Planning.

Lesson 3 • Content Brief Creation with AI

Builds Structured Content Briefs from Research Outputs Using AI-Assisted Templates. Bridges Ideation to Execution for All Content Formats Covered Ahead.

Lesson 1 • Product and Service Descriptions

Drafts Feature-to-Benefit Copy and Comparison Content for Products and Services. Builds Persuasive Writing Skills Expanded in the Copywriting Chapter Ahead.

Lesson 2 • Email and Newsletter Copy

Teaches Subject Line Generation, Body Copy Drafting, and Sequence Writing with AI. Connects Directly to Conversion-Focused Writing Principles Introduced Later.

Lesson 3 • Blog Posts and Long-Form Articles

Covers AI-Assisted Outlining, Section Drafting, and Intro-Conclusion Generation for Articles. Produces a Complete Blog Post by the End of This Section.

Lesson 4 • Reports and Professional Documents

Uses AI to Structure Executive Summaries, Reports, and Internal Documents Efficiently. Extends AI Writing Skills into Formal Business Communication Contexts.

Lesson 1 • Persuasion Frameworks for AI Prompts

Encodes AIDA, PAS, and FAB Frameworks into Prompt Structures for Persuasive Copy Generation. Gives AI Outputs a Proven Rhetorical Backbone from the First Draft.

Lesson 2 • Landing Page and Sales Page Copy

Structures Full Landing Page Copy Including Hero, Benefits, Objection Handling, and Close. Integrates Audience Persona Data from Chapter 3 into Persuasive Page Flow.

Lesson 3 • Ad Copy and Paid Media Writing

Generates Character-Limited Ad Headlines, Descriptions, and CTAs for Paid Media Platforms. Applies Format Constraints and A/B Variation Techniques with AI.

Lesson 1 • SEO Fundamentals for AI Writers

Reviews search intent, keyword types, and on-page ranking factors relevant to AI-generated content. Provides the SEO vocabulary used throughout this chapter.

Lesson 2 • Avoiding AI SEO Pitfalls

Identifies keyword stuffing, thin content, and duplicate content risks specific to AI outputs. Ensures compliance with search engine quality guidelines.

Lesson 3 • Drafting SEO-Optimised Content

Applies keyword placement, heading hierarchy, and meta-tag writing within AI drafting prompts. Produces a fully optimised article draft as a practical output.

Lesson 1 • Fact-Checking AI-Generated Claims

Provides a structured process for verifying statistics, quotes, and factual assertions in AI drafts. Directly addresses hallucination risks introduced in Chapter 1.

Lesson 2 • Building a Content Quality Checklist

Synthesises all review criteria into a reusable pre-publication checklist. Creates a standardised quality gate applicable to every content type in the course.

Lesson 3 • Grammar, Style, and Consistency Editing

Uses AI-assisted grammar tools alongside manual review to enforce style guide compliance. Produces publication-ready copy from raw AI drafts.

Lesson 4 • Bias Detection and Inclusive Language

Identifies stereotyping, exclusionary phrasing, and cultural insensitivity in AI outputs. Ensures content meets professional inclusivity standards.

Lesson 1 • Team Collaboration and AI Governance

Establishes shared prompt libraries, style guides, and AI use policies for content teams. Ensures consistent quality and accountability across distributed workflows.

Lesson 2 • Content Repurposing at Scale

Uses AI to transform a single content asset into multiple formats across channels efficiently. Maximises content ROI without proportional increases in production effort.

Lesson 3 • Templates and Automation Systems

Builds reusable prompt templates, content templates, and automation triggers for recurring content. Reduces per-piece production time while maintaining consistency.

Lesson 4 • Measuring and Optimising Content Performance

Connects content output metrics to business outcomes and feeds data back into prompt refinement. Closes the production loop with evidence-based continuous improvement.