M04-01 · AI + Content & Marketing Strategy

Content Production at Scale with AI

Teaches students to produce high-volume, multi-format content using AI while maintaining distinct brand voices and quality standards. Covers blog, social media, and email copywriting with AI assistance at professional volume (100-200 pieces per 90 days), building and maintaining client-specific prompt templates, editing AI drafts for voice accuracy and factual correctness, content batching strategies, platform-specific content adaptation, and tracking AI quality ratios.

35 Hours

7 Learning objectives

Evaluate Bloom's ceiling (?)

5 Competencies

What You'll Be Able To Do

Learning Objectives

Objectives

Depth

Produce 20+ pieces of professional content per week across blog, email, and social formats using AI-assisted workflows while maintaining quality standards Apply
Create client-specific prompt templates incorporating brand voice guides, audience demographics, tone keywords, avoidance lists, and example content for consistent AI output Create
Evaluate AI-generated drafts for brand voice accuracy, factual errors, AI-isms, hallucinated statistics, and strategic alignment with campaign objectives Evaluate
Apply content batching strategies to maximize production efficiency — writing all copy in one session, creating visuals in another, and scheduling in a third Apply
Analyze AI quality ratios across clients and content types to identify when prompt templates need refinement, brand voice updates are missing, or AI is producing on unfamiliar topics Analyze
Adapt a single content concept for platform-specific requirements: LinkedIn (professional), Instagram (visual-first), Twitter/X (under 280 characters), email (subject line testing, CTA placement), and blog (SEO-optimized headers, internal linking) Apply
Understand the legal and ethical dimensions of content production including AI-generated content disclosure obligations, stock image licensing, factual liability, and the reputational risk of detectable AI writing Understand

Levels: Remember · Understand · Apply · Analyze · Evaluate · Create — highest demands most original thinking.

Core Competencies

What You'll Master

AI-Assisted Content Production

High-volume writing workflows, multi-turn AI collaboration, first-draft generation and heavy editing, maintaining output pace without quality degradation.

Brand Voice Management

Developing and maintaining distinct voices across multiple clients, prompt template libraries, voice calibration over time, detecting and correcting voice drift.

Content Quality Control

AI output editing methodology, fact-checking processes, AI-ism detection and removal, maintaining human editorial judgment at scale.

Platform-Specific Adaptation

Format requirements per platform, character limits, visual specifications, hashtag strategies, content calendar alignment, scheduling tool proficiency.

Content Batching & Workflow

Production scheduling for maximum efficiency, context-switching minimization, editorial calendar management, deadline-driven prioritization across clients.

Portfolio Artifact

What You'll Build

Multi-Client Content Production Portfolio — Student produces a realistic content sprint: 3 distinct brand voice guides with corresponding prompt templates, 15+ pieces of published-ready content across blog, email, and social formats for 3 simulated clients, an AI quality tracking log documenting edit ratios and prompt refinements, and a content batching workflow document showing their production system.

Tools You'll Use

Industry Tools, Not Toy Projects

Claude

AI assistant for content production, brand voice calibration, and multi-format content drafting.

Google Docs

Collaborative drafting and editing platform for content production workflows.

Canva

Visual asset creation tool for social media graphics, blog images, and email visuals.

Sprout Social / Buffer

Social media scheduling and management platforms for multi-client content publishing.

Notion

Editorial calendar management and prompt template library organization.

Grammarly

Editing support tool for catching grammar, style, and tone inconsistencies in AI-assisted content.