DAY01
Promotion Framework
Identify the promotion subject; map attention to response; recognise AI inputs and outputs through one trainer demonstration.
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AI-PoweredPromotion CampaignTraining
21 Days21 UnitsProgressive AI Integration
AI progresses from basic awareness to integrated application, evaluation, and improvement. Technical methods support campaign tasks with verification and human oversight.
21Days
21Units, one a day
3Weeks: foundations, build & run, measure & improve
6AI method families, matched to campaign tasks
How AI Progresses
From awareness to improvement.
Each week adds a layer — AI starts as something you recognise in a trainer demonstration and ends integrated into a campaign you evaluate and improve.
The 21 Units
Day by day, unit by unit.
Frame the promotion, set measurable objectives, research the audience and competition, write and verify the message — then learn how AI methods fit together.
DAY02
Campaign Objectives
Count existing responses; calculate basic percentages; define measurable targets; check an AI-assisted objective statement.
DAY03
Audience Research
Collect a small approved dataset; summarise frequencies and averages; use guided AI to identify patterns; verify findings.
DAY04
Competitive Analysis
Gather verified public information; build a comparison matrix; calculate simple differences; check AI comparisons against sources.
DAY05
Strategic Messaging
Connect audience needs with benefits; supply context and examples to generative AI; compare messages; test understanding.
DAY06
Source Verification
Extract claims from AI drafts; verify sources; label supported and unsupported statements; calculate an error proportion.
DAY07
AI Foundations
Connect data, prompts, and outputs; distinguish supervised, unsupervised, and generative methods; introduce neural networks and deep learning; match methods to tasks.
The AI Toolkit
Every method, matched to a task.
Statistics, supervised, unsupervised, generative AI and deep learning are introduced where a campaign task needs them — not as theory on their own.
FROM DAY 05
Generative AI
Context and examples supplied to generative AI; drafts compared, verified and approved.
FROM DAY 02
Statistics
Percentages, frequencies, averages, normal ranges and thresholds — the base for every AI estimate.
FROM DAY 11
Unsupervised clustering
Guided clustering for channels and feedback; unsupervised anomaly scores.
FROM DAY 13
Supervised prediction
Labelled examples, training and test data, response prediction and classification.
FROM DAY 07
Neural networks & deep learning
Introduced with the AI foundations; deep-learning language tools; compared only where justified.
FROM DAY 18
AI-assisted workflows
Clustering, prediction and generative content combined, with logs, approvals and fallbacks.
Verification & Oversight
AI supports. People decide.
Technical methods support campaign tasks with verification and human oversight — the checkpoints are written into the units themselves.
DAY 06
Verify every claim
Label supported and unsupported statements in AI drafts and calculate an error proportion.
DAY 09
Human approval gates
Check responsibility and authority before AI-suggested assignments are used.
DAY 16
People handle the ambiguous
Route cases through approvals; ambiguous cases stay with a person.
DAY 18
Logs, approvals, fallbacks
Every connected workflow keeps a record and a way back.
Join The Training
Reserve your seat for 21 days.
What's Included
- 21 units over 21 days
- Trainer demonstrations and guided AI practice
- Approved datasets, dashboards and comparison matrices
- Generative, supervised, unsupervised and deep-learning methods
- Verification and human-approval checkpoints in every week
- A verified outcome report and an improvement plan
Fee & Batch Dates
Announced with the next batch.
Leave your number and our team will call you with the fee, dates and how to join.
Questions
Before you join.
21 days, one unit a day. AI is introduced progressively — basic awareness first, then application, integration, evaluation and improvement.