AI IN MARKETING
MONDAYS & WEDNESDAYS
5 PM PT / 8 PM ET
18 NOV 2026 - 20 JAN 2027
DURATION:
6 WEEKS
MONDAYS & WEDNESDAYS
5 PM PT / 8 PM ET
Master advanced AI prompting, agentic workflows, and Generative Engine Optimization, and turn scattered marketing tasks into a fully automated campaign engine.
Led by Tomas Vorel, a Head of Marketing at Google Labs who scaled Google Wallet to over 80 markets, you'll leave with a complete AI-powered marketing campaign ready to deploy.
THIS COURSE IS FOR YOU, IF...
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YOU ARE A MARKETING MANAGER, CONTENT MARKETER, OR BRAND MANAGER
You know AI can write copy, but you haven't built the systems that make it scale. This AI marketing course teaches you to architect agentic workflows, hyper-personalized CRM triggers, and multimodal content engines using tools like Claude, n8n, and Midjourney. You'll leave with a complete AI-powered marketing campaign and the automation skills your organization is actively hiring for.
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YOU ARE AN ENTREPRENEUR OR BUSINESS OWNER
Manually researching competitors and juggling disconnected AI tools is eating hours you don't have. This AI for marketing course gives you code-assisted marketing, Generative Engine Optimization, and lightweight automation to run campaigns without a technical team. You'll leave able to launch landing pages, ads, and content systems on your own budget and timeline.
Our students work in 1600+ companies worldwide
Across four live labs, you'll run a competitor raid, set up visual automation with n8n, build a localized video campaign in HeyGen, and pitch a finished workflow. Five assignments push each skill into a working prototype, not just a slide.
You'll break down how Sierra AI, Klarna, and Coca-Cola actually deploy agentic marketing at scale. Four guest speakers, including an enterprise integration expert and a UXR specialist, bring in perspectives you won't find in a generic prompting course.
Your final project is a complete AI-Powered Marketing Campaign: a 3-minute pitch deck, a quantitative efficiency report, and a full campaign strategy. You leave this AI in marketing course with a portfolio artifact that proves both AI fluency and business impact.
- Leads product marketing at Google Labs for NotebookLM, driving 0-to-1 growth strategy across AI, consumer, and B2B products
- Led Google Wallet product marketing, scaling to over 80 markets and hundreds of millions of users
- Drove global go-to-market strategy for Google's Next Billion Users, growing the Files app to over 150 million users worldwide
- Architected user acquisition strategy for Google Pay, directing multi-million dollar media campaigns and pioneering AI-powered ad-content systems
Get oriented with the six-week roadmap, live lab schedule, and capstone requirements, and complete a baseline AI skills assessment before your first class.
- Course roadmap and live lab schedule
- Capstone project requirements
- Tech stack setup checklist
- Course housekeeping and communication channels
- Baseline marketing and AI skills assessment
Explore the four stages of AI maturity and reframe AI as an infrastructure shift rather than a feature add-on, mapping traditional funnels against AI-augmented customer journeys.
- Stages of organizational AI adoption
- Rise of hybrid roles like GTM engineer
- AI-augmented customer journey mapping
- AI tool and model landscape
- IP protection, data privacy, and brand safety guidelines
Shift from ad-hoc prompting to systematic execution using Chain of Density and Persona Priming, and identify the highest-impact AI use cases for your own workflow.
- Lead scoring and micro-campaigns
- Competitive intelligence use cases
- Workshop: Marketer's AI use cases
- Chain of Density and Persona Priming
- System prompts vs. structured context files
Assignment #1: Workflow Mapping & AI MVP Prototype
Map your top five weekly marketing workflows, build a functional AI-driven prototype for the highest-impact task, and compare manual vs. AI-assisted time and output quality.
Build an advanced research stack that exposes data gaps and low-confidence assumptions, then synthesize competitor intelligence into a strategic creative brief.
- Structuring research workflows
- Competitor positioning and messaging analysis
- "Ask for Uncertainty" principle
- Multi-file synthesis with NotebookLM and Claude
- Live lab: Competitor raid and creative brief
Move from manual execution to workflow orchestration with visual automation platforms and coding agents, adding human-in-the-loop checkpoints to protect brand standards.
- AI collaborator design for marketing teams
- Automating reporting and daily intelligence briefs
- Multi-step workflows with n8n
- Claude Code for custom marketing scripts
- Case study: Sierra AI, Typeform
- Live lab: Custom agent skills and automation triggers
Assignment #2: Competitor Analysis & Automation Workflow with HITL
Analyze a competitor using multi-step web searches and NotebookLM, Claude, or Gemini, then build a basic automation that auto-populates a creative brief with a mandatory human-in-the-loop review step.
Construct data-grounded AI personas that resist sycophancy and simulate real sales calls, stress-testing your messaging and positioning before you spend on ads.
- Interactive AI persona construction
- Injecting real pain points and objections into personas
- Resisting sycophancy and confirmation bias
- Simulated customer interviews and objection handling
Assignment #3: Dynamic ICP Prompt & Simulated Sales Interview
Create a dynamic ICP prompt enriched with real pain points and objections, run a simulated 10-question interview to stress-test your positioning, and generate a personalized sales pitch asset.
Automate tailored sales collateral and account-based playbooks that adapt to deal stage, and feed real-time intent signals into your CRM to trigger targeted outreach.
- Sales collateral and pitch decks at scale
- CRM intent signals and hyper-targeted outreach
- Personalizing proposals with account data
- Automated account-based playbooks
Master multimodal asset generation with brand consistency using tools like Midjourney, and learn to maintain creative control as raw content generation becomes commoditized.
- Marketing team and agency roles in AI production
- Maintaining a competitive moat against commoditization
- Style, character, and brand consistency in Midjourney
- Inpainting, outpainting, and multimodal editing
- Storyboarding video ads with Flow
- Case study: Coca-Cola
Scale video and audio production globally with voice cloning and digital avatars, localizing campaigns into dozens of languages while navigating consent and disclosure standards.
- Voice cloning and digital avatars
- Localizing video into multiple languages with HeyGen
- Personalized video outreach for account-based marketing
- Ethics, consent, and disclosure standards
- Live lab: Localized multi-language video campaign
Assignment #4: Multimodal Creative Package & Creative Director Log
Define visual style parameters to create three brand-aligned campaign images, script and edit a localized video or avatar message, and document your prompt logs and creative decisions.
Adapt organic search strategy for AI answer engines and zero-click search, structuring content around statistical density and expert quotes for generative visibility.
- Generative Engine Optimization vs. traditional SEO
- Zero-click content structuring
- Workshop: Website GEO audit
Assignment #5: GEO Audit & Optimization Plan + MCP/CRM Workflow Diagram
Audit three key pages of a brand website for GEO gaps, draft an optimization plan to improve citation likelihood in AI answer engines, and outline a conceptual MCP or CRM workflow diagram.
Integrate generative AI into enterprise CRMs like Salesforce and HubSpot, connecting LLMs to outside data through MCP servers to power 1-to-1 personalization.
- Trigger-based email and messaging workflows
- Connecting LLMs to data via MCP servers
- Structuring data for business-to-agent commerce
Navigate the brand safety risks of hallucinations and synthetic media, and weigh the token economics behind scaling enterprise AI initiatives.
- Mitigating hallucination and bias risks
- Maintaining consumer trust in automated touchpoints
- Token economics and compute budgeting
- Future of autonomous agents and spatial computing
- Case study: Klarna
Present an end-to-end AI-native marketing campaign and defend the efficiency report behind it, quantifying the time and cost savings against a traditional baseline.
- End-to-end campaign strategy presentation
- Defending the efficiency report and projected ROI
- Live lab: Top workflow and campaign presentations
What our students say
"I really enjoy the format of the course. Lectures with real life examples and an ongoing case study. Also built in 20 minutes at the end of each class for questions is helpful."
"Overall I'm impressed with the level of detail and explanation around particular topics and subjects. There's a real depth to each module which for learning allows the information to stay in your brain."
"The group activities, they allow us to interact and exchange ideas, plus the way it is structured is challenging and mind twisting as we collaborate in different parts of the ideation."
"I enjoyed the structure of the class. I like how we learned about a topic and practiced it in the workshops. It’s helped me to apply what I learned!"