THE CURRICULUM
Five weeks of in-person practice in Amman. Build Meta campaign drafts, Google Search structures and AI-assisted workflows, then present the evidence behind your decisions.
WEEK 01 / Foundations & the offer
What are we building, for whom, and with what evidence?
Set up the no-spend practice environment, explore a worked measurement example and shape an offer for the Amman market. Keep observed facts, assumptions and questions in separate places.
The review question: Can another person trace the offer back to the customer situation and see what still needs checking?
WEEK 02 / Meta campaigns & creative
How does a social impression become a useful enquiry?
Build a Meta campaign draft with an objective, audience and location logic. Develop ad copy and placement-ready creative with AI assistance, then review the actual preview or a supplied mockup before any launch decision.
The review question: Do the targeting choices, message, format and next step support the same offer?
WEEK 03 / Google Search & Ads Editor
Does the campaign answer the search that brought someone here?
Group keywords by intent, draft responsive search ad copy and identify irrelevant queries. Build and inspect the structure in a Google test or offline workspace, then prepare an Ads Editor-compatible handoff.
The review question: Can someone inspect the file and explain the keywords, exclusions, ads and destination without guessing?
WEEK 04 / AI controls & creative testing
What should AI optimise, and what must you control?
Examine Meta Advantage+, Google AI Max and Performance Max through available controls and supplied examples. Connect the objective to trustworthy signals, then build an AI-assisted creative workflow and a fair test plan.
The review question: Can you explain what the machine may change, what stays constrained and which evidence would justify the next step?
WEEK 05 / Measurement, evidence & handoff
What does the evidence support, and what remains unknown?
Read measurement and AI-search examples without inventing attribution. Check claims, privacy and AI-asset disclosure, then present the evidence folder and defend the decisions behind your campaign.
The review question: Can you show what was built, what changed and what still needs approval before a real launch?
THE IN-PERSON SESSION PLAN
Twelve practical sessions in Amman turn one business brief into a reviewed campaign portfolio. Build Meta drafts, assemble Google Search campaigns, practise with AI, and learn to defend the decisions behind the work.
How today's marketing channels connect, what a practice account can show, and how to keep a permanent record of your work.
The review question
Can you show where the work is saved, where the numbers came from and which checks keep this exercise unpublished?
The programme is designed for in-person teaching in Amman. Each three-hour session includes breaks. The start date, session times and exact venue will be shared before enrolment; the sequence below is the planned curriculum.
No learner advertising spend is required. Meta work stays in draft; Google work uses a test account or an offline campaign file. If an account or feature is unavailable, the exercise continues with supplied exports, screenshots or a guided example. You keep your work in files, not only in platform accounts. Course software access and any associated arrangements will be stated before enrolment. Any additional course account or software costs will be disclosed before enrolment.
AI assistance runs through both Meta and Google work: message and creative drafts, search-theme organisation, campaign briefs and reporting questions. You also examine Meta Advantage+ and Google AI Max and Performance Max controls where available. A guided API demonstration shows how a model draft passes through validation and human approval before a draft-only handoff. You choose the objective, check the evidence, set the boundaries and approve the final work. Campaigns are not published or left to spend automatically.
THE FINAL PORTFOLIO
Build a 12-piece evidence folder: lab setup, an offer brief, a Meta draft, creative previews, a Search structure, an Editor export, Meta and Google AI control maps, a creative test pack, a reporting sheet, a permissions and disclosure checklist, and your final presentation with revisions.
Practice outputs are drafts and learning exercises. They do not need paid advertising or invented performance results to demonstrate useful thinking.
Explore a complete worked portfolioTHE PLANNED LEARNING PACKAGE
Five weeks in Amman, with a planning target of six learners. Final group size and the exact venue will be shared before enrolment.
Keep drafts, screenshots, exports and revisions outside the ad platforms. Each session adds an inspectable piece of work.
The planned assessment requires at least 10 evidence pieces, the final presentation and three review questions. Missing pieces may be completed by the day-30 clinic. The programme completion document is not an externally accredited qualification; full attendance and assessment terms will be shared before enrolment.
Planned clinics create space to return to the work, ask questions and review the next version.
The plan includes 12 months of access to an approved learning archive and community, with the recording archive opening 30 days after the cohort ends. Recording consent, unrecorded clinic time, access arrangements and the final support schedule will be confirmed in the enrolment details.
BEFORE YOU JOIN
Specific software accounts, any associated costs, independent-work expectations, dates and the exact Amman venue will be confirmed before enrolment. No student ad spend is required.
Ask for the programme and fee detailsAI-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.
YOUR 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