Learning Paths

A staged path for marketing analytics leads: use LLMs for analysis and narrative, automate the reporting layer with agents, and build a self-improving insight practice.

A staged learning path for CRM and lifecycle marketers: from AI-assisted segmentation and copy to self-improving nurture loops and lifecycle agents.

A staged path for paid media specialists: work with platform automation instead of against it, build an AI creative engine, and automate analysis and reporting.

A learning path for marketing leaders: build a credible AI strategy, redesign team structure and skills, and put governance in place before an incident does it for you.

A staged learning path for marketers building AI-powered video and creative production: from first generations to a repeatable creative pipeline.

A staged path for marketing ops managers: from adding AI steps to existing automations, to building agentic workflows, to governing an AI-powered ops stack.

A staged path for content marketers: from responsible AI-assisted writing to a full production system with quality gates, GEO-aware structure, and a performance loop.

A structured learning path for marketers new to AI — covering core concepts, practical tools, and first workflows to implement.

A staged learning path for social media managers who want to use AI across ideation, creation, scheduling, listening, and reporting — without their channels going generic.

A staged path for marketers who want to go beyond prompting and actually build AI agents that monitor, research, and act on marketing tasks autonomously.

A staged learning path that takes you from understanding what generative engine optimization is to running a full GEO program with measurement, optimization, and reporting.