This course covers the major platforms a marketer now works with, including Claude, GPT, and Gemini for copy and analysis, and Firefly, Midjourney, OpenAI image generation, and Imagen for visual assets. The emphasis is on choosing appropriately: these tools differ in speed, output quality, tone, and licensing terms, and the right choice depends on the channel and the brief rather than on habit.
Practically, the course covers prompt engineering for reliable output, building brand voice systems so generated copy sounds like the brand rather than like a model, and applying AI across SEO, paid search, content, social, email, and analytics. It also addresses commercial licensing, indemnification, disclosure norms, bias checks, and brand safety, which matter as soon as output goes to a client. You finish with a complete AI campaign portfolio including a moodboard, an ad-creative library, and documented prompt patterns.
What You Will Learn
- Select the right AI platform for each marketing task and channel
- Write and refine prompts that produce reliable, on-brief output
- Build brand voice systems so generated copy stays on-brand
- Apply AI across SEO, SEM, content, social, email, and advertising
- Generate and refine visual assets with AI image models
- Measure the impact of AI-assisted marketing on KPIs and ROI
- Apply commercial licensing, indemnification, and disclosure rules
- Produce an AI campaign portfolio with documented prompt patterns