Find the question.
Begin with a focused explanation and a worked example. Identify the customer problem and the decision the work needs to support.
THE LEARNING EXPERIENCE
A useful lesson changes what you can do next. The proposed programme combines explanations, worked examples, guided practice and feedback around one connected campaign.
THE PROPOSED LEARNING LOOP
You will be asked to explain a choice, not simply repeat a sequence of clicks. Each draft is a chance to improve the reasoning behind the work.
Begin with a focused explanation and a worked example. Identify the customer problem and the decision the work needs to support.
Apply the idea to your campaign. Create a brief, a message, a structure or a measurement plan that can be discussed.
Use questions and feedback to find weak assumptions, disconnected choices and claims that need evidence.
Revise the work and explain what improved. Carry that decision forward into the next chapter of the campaign.
AI WITH A CLEAR ROLE
Use AI to sharpen a question, explore a few creative directions or produce a first draft. Then check what it says against the brief and the evidence you actually have.
You remain responsible for the claims, the choice and the next step. Real customer data, confidential documents and unsupported promises do not belong in practice prompts.
Use the AI draft review worksheetCan another person understand the customer, offer and next action?
Do the message, channel and landing page support the same idea?
Which claims are supported? Which assumptions need checking?
What would you revise or test, and why?
YOUR INSTRUCTOR
Ayhan Burak Ünlü is a Turkish digital marketer based in Amman. He brings eight years of digital marketing experience to the programme and will teach in English.
The proposed approach centres on practical drafts, constructive questions and useful revision. The exact Amman venue, timetable and feedback arrangements will be shared before enrolment.
Meet your instructorAI-ASSISTED META & GOOGLE ADVERTISING
Build Meta and Google campaign drafts with AI support. Explore message angles, organise search intent and develop creative variations, then check the output against the offer, audience and evidence.
Use AI to develop creative angles and copy variations. Build the campaign structure, inspect placements and examine available Advantage+ controls.
Your evidence: an unpublished campaign, creative previews and a map of the choices you delegate or constrain.
Use AI to organise search themes, suggest ad copy and surface exclusion candidates. Check the work in a Search structure and an Ads Editor file. Study AI Max and Performance Max through their available controls.
Your evidence: a reviewed campaign file, negative-keyword reasoning and an automation control plan.
Follow a guided example that sends approved fictional facts to an AI model, checks the response and prepares a campaign draft. Learn where access permissions, usage limits and saved work belong.
Your evidence: an annotated workflow and a record of the AI suggestions you accepted, edited or rejected.
An external model helps prepare and review work. Meta and Google operate their own advertising automation. Connecting a model through an API does not replace the platforms’ account permissions or give it authority to spend.
You choose the objective, approved facts, budget boundaries and conversion definitions. Platform features vary by account and campaign type; supplied examples keep the learning moving when access differs.
Course practice stays in drafts, test accounts or offline files. No personal API key or student advertising spend is required for the supplied exercises. This is a guided marketing workflow, not a promise of a fully autonomous live ad account.
TWO WAYS INTO THE WORK
These fictional practice scenarios show how the same learning process can serve different starting points. They are examples of work, not student results.
A fictional home-organisation service in Amman posts advice and service reminders. The owner wants to focus on one situation: someone trying to make a small living space easier to use.
The question: What does that person need to understand before asking about the service?
Review: can a person understand the offer, the unanswered questions and what happens after the enquiry?
Start with the campaign briefA fictional stationery retailer wants to present a notebook as a gift. A developing marketer can make social posts, but wants to connect the audience, the message, search intent and measurement.
The question: Can someone follow the reasoning from the customer to the requested action?
Review: what changed after feedback, why did it change and what would need checking before a real launch?
Explore a complete worked portfolioYOUR NEXT CHAPTER
Get the programme details.
See whether the next cohort fits your plans.
Ask for the programme fee and what is included. You will receive the full information before deciding or making a payment.
The first cohort is in planning. Teaching is in person in Amman. Dates, the exact venue and enrolment terms are not yet confirmed. An enquiry does not reserve a place.
Begin with the free resources