Study area · Technology
Digital Marketing with AI
Using AI for the parts it is good at, briefs, analytics and copy variants, while keeping the strategy and the judgment with people.
This programme sits inside Technology, one of the four study areas in the wider Programmes catalogue.
- DMA
- Certificate
- Kendahouse, Nairobi
What the training covers.
Every session runs as a workshop, not a lecture. You practise the routines of the job until they are second nature, with instructors who have done them for a living.
Apply via Student Applicant- 01 Briefs that produce usable output: audience, offer, constraints, and tone
- 02 Copy and variant generation with review, edit, and house voice applied
- 03 Analytics: reading a funnel, spotting noise, and asking for the next number
- 04 Content operations: scheduling, version control, and the publishing pipeline
- 05 SEO and AEO: what a buyer asks, and answering it in the page
- 06 Brand voice, and the editing judgment that stops output flattening
- 07 Campaign measurement and deciding what to stop
Programme facts
- Award
- Certificate
- Apply through
- Student Applicant
- Kiflaps programmes
- 40
- Fee
- With admissions
Dates, fees, and instalment options are confirmed with admissions. Nothing is quoted until you ask, and applications close four weeks before each intake starts.
The work it prepares you for.
The training aims at front-line roles like these across the industry.
- Digital marketing executive or associate
- Content marketer working with AI assistance
- Social media and campaign coordinator
- Marketing analyst handling reporting
Who it suits.
Marketers who are already using the tools ad hoc and want the workflow and the review discipline around them.
Pair it with a language
Pairs with Data Analytics with Excel and Power BI for the measurement side, and Applied Business Intelligence for the reporting practice.
Browse the twenty languagesOther technology routes.
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CDE Cloud and DevOps Engineering The release habits taken further: infrastructure described in code, monitored services, and the incident routines that keep a system honest when real traffic arrives. Explore -
CYB Cybersecurity Essentials The defensive baseline: how systems get taken over, how to notice, and what a small team with nobody dedicated to security should do first. Explore -
DAN Data Analytics with Excel and Power BI Turning routine reports into something people read: clean tables, dashboards that answer one question each, and the data modelling that backs them up. Explore -
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GAI Generative AI Essentials A working understanding of generative models without the hype: what they can do, where they fail, and how to check their work. Explore -
IDS Introduction to Data Science The first step for applicants who work with numbers but not code: spreadsheets first, then Python, then the questions data can and cannot answer. Explore -
DOV Introduction to DevOps A first look at how software reaches the people who use it: version control, build and release habits, basic automation, and the shared vocabulary that development and operations teams use when something breaks. Explore -
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Start your application
Full programmes go through the Student Applicant form. Short programmes and online-only study enrol in the LMS.
Questions by phone: +254 714 772 289
Questions about Digital Marketing with AI? Call +254 714 772 289 or message admissions.