Plan, build, launch and scale paid media with AI creative, agentic media buying and performance systems that compound.
Get a free inside look at “Build” — the module infographic and the video overview.
By the numbers
Move from scattered lessons into repeatable workflows, decision checkpoints, and practical learner assets.
Every module maps to a concrete operator workflow, learner lab, and reusable asset.
Course markdown, trainer resources, student guides, and lead magnets are distilled into buyer-ready messaging.
Use the checklists, guides, and templates to ship work during the course instead of waiting until after it.
AI tools cut creative production timelines by 34% and reduce creative costs by 22% on average across the top 500 advertisers.
Teams using AI test 5.2x more creative variants per campaign than before, with an average +18% CTR lift on AI-optimized variants.
10 modules, each ending in a deliverable.
Advertisers, performance marketers, and agency owners who are scaling paid media and want to operationalize AI for ad creative, media buying, and audience intelligence in 2026 — not beginners looking for a generic AI overview.
No. The course focuses on strategy, prompt engineering, and workflow design. Modern ad platforms handle the AI execution; your job is high-quality inputs and sound judgment, both of which we teach directly.
Native AI in Meta Advantage+ and Google Performance Max / AI Max, plus generative creative and AI video/avatar tools and agentic media-buying workflows. The emphasis is on transferable frameworks so you're not locked to any single vendor.
On average, AI tools cut creative costs 22%, speed production 34%, and lift CTR 18% on optimized variants, while letting teams test 5.2x more variants. Results depend on inputs and QA, which the course is designed to strengthen.
Ad-copy generation alone returns about 2.3x ROI, but the bigger gains come from combining AI creative with personalization, agentic optimization, and structured testing. The course teaches those high-leverage combinations end to end.
Roles are shifting from execution to orchestration — humans supervise, agents operate. The course positions you to be the person who directs AI systems, which is where the durable value sits in 2026.
Only partially and carefully. Media leaders estimate 80–90% of campaigns are still too complex for fully autonomous buying. We show you where to safely automate (bidding, targeting, asset assembly) with human guardrails.
As AI-native creative floods channels, taste and distinctive brand voice become the scarce assets. The course builds brand-voice systems and prompt frameworks so your AI output stays unmistakably yours.
These are real concerns, especially in regulated and political categories. The course covers disclosure best practices, authenticity guardrails, and when synthetic presenters are appropriate versus risky.
New discovery flows (answer engines, agentic buying, CTV) break legacy measurement. The course covers incrementality testing and measurement frameworks so you can prove real business outcomes, not just in-platform metrics.
Yes — it's now built in. Advertisers generated nearly 70 million Gemini-created assets inside Google's Performance Max and AI Max in Q4 2025 alone, a 3x year-over-year jump. AI creative is the default, not the exception.
It's built on 2025–2026 data and trends, including IAB and HubSpot adoption surveys, Meta and Google platform benchmarks, agentic media buying, and the 2026 rollout of ads inside AI assistants like ChatGPT.
Adoption is widespread but integration is the edge: only 39% of agencies have deeply integrated AI into daily workflows. The course gives agency owners the operating model to be in that leading tier rather than just buying tools.
Yes. With third-party cookies fading, the course covers first- and zero-party data strategies for AI targeting and personalization — the targeting backbone for 2026 and beyond.
Most teams see payback on AI marketing tooling in about 4.2 months. Early, practical wins include faster creative production, more variants tested, and better cost-per-result from platform-native AI creative optimization.
Start with the syllabus, then move into the first operator sprint.
