Analyze channel-performance datasets and explain performance changes. Surface competitor positioning and messaging. Turn insights into optimization strategies. Generate on-brand ads, visuals and creative concepts from performance evidence. Refine messaging. Prototype/A-B test. Identify automation use cases. Build brand-monitoring automations. And create leader-ready narratives and visualizations
Audience and starting point
Prior experience using an LLM assistant such as ChatGPT, Gemini, Copilot or Claude is recommended. The course positions itself as advancing a marketer's AI skills rather than requiring a formal technical qualification
Access and subscriptions
Enroll/Secure your spot routes are displayed. No checkout or seat test performed
Dates and sessions
The page retains an Oct 5-Nov 6, 2026 start listing (already begun on capture date) and separately lists Nov 2-Dec 4, 2026 as another upcoming cohort. An Aug 4 next-live-session widget is stale. Nov 2 is the next future listed cohort start
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.
Hands-on use cases: prototype campaigns, automate marketing tasks, test content and creative, apply AI to personalization, customer insight and performance analysis, strategic judgment, brand safety and risk assessment are included
Time: ask the providerEUR 4300 · EUR 4,300 tuitionEnglish