Customer data is fragmented
Bring customer analytics and business questions into one usable view.
Course 09 · 5 days
AI for Marketing & Sales
Use customer analytics, personalization, predictive AI, GenAI, forecasting, and optimization to make marketing and sales work more focused.
1 · Learner problem
More data does not automatically create better customer decisions.
Marketing and sales teams need a practical path from customer signals to segmentation, personalization, prediction, content, forecasting, and optimization.
Segments do not drive action
Connect segmentation and personalization to a clear audience and next step.
Models stay theoretical
Use predictive AI, lead scoring, forecasting, and optimization around a real decision.
A marketing and sales capstone
Show the path from customer insight to an AI-enabled campaign or commercial workflow.
2 · Course outcome
Leave with a practical AI-enabled growth workflow.
Customer analytics
Use data and Python patterns to frame customer behavior and opportunity.
Segment and personalize
Create actionable segments and personalization logic with human review.
Score and forecast
Connect predictive AI and forecasting to marketing or sales decisions.
Improve the commercial workflow
Use GenAI and optimization methods with clear measures and responsible boundaries.
For marketing analysts and growth practitioners.
- AI-enabled marketing analysts
- Marketing and sales operations professionals
- Growth, CRM, and campaign owners
- Entrepreneurs using customer data to make decisions
Bring a customer question.
Basic analytics familiarity helps. The course focuses on practical decision-making, not black-box promises or unattended personalization.
4 · Curriculum
Eight modules from customer analytics to capstone.
- AI, Python & Customer AnalyticsFrame customer questions and useful signals.
- Customer SegmentationBuild meaningful segments around business action.
- Targeting & PersonalizationConnect audience insight to tailored experiences.
- Predictive AI for Marketing & Lead ScoringUse predictive methods around prioritization decisions.
- Generative AI for Marketing & SalesUse GenAI for research, content, proposals, and workflow support.
- Forecasting, Marketing Optimization & CapstoneBring the methods into an evidence-backed commercial project.
5 · Live project
Build an AI-enabled marketing or sales capstone.
Choose a segmentation, lead scoring, campaign personalization, sales research, forecasting, or optimization brief.
Customer and segment brief
Define audience, signal, question, and decision context.
AI-enabled workflow
Build targeting, content, scoring, forecasting, or research support with review.
Measure and improve
Present the workflow, measures, risks, and next optimization step.
6 · Trainer credentials
View trainer profileAI growth workflows taught with customer context.
MHGrad’s practice covers AI applications, analytics, GenAI, automation, sales workflows, and responsible AI adoption. Verified trainer credentials and references are available during enrolment conversations.
Five-day live intensive
- Daily guided analytics and marketing work
- Targeting, GenAI, prediction, and optimization reviews
- Marketing or sales capstone presentation
- Exact dates, timezone, and delivery format confirmed before enrolment
8–10 · Fees and enrolment
Current fee shared on consultation.
Ask about the next intensive, availability, payment steps, or private team delivery. Refund terms are published before payment.
Enquire for current fee
Enrol now11 · Genuine testimonials
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MHGrad publishes the learner, role, cohort, project, exact words, and permission status when a story is approved. See the proof policy.
FAQ and refund terms
Before you enrol.
Is this a course for marketers or analysts?
Both. The target is an AI-enabled marketing analyst, but the project can fit marketing, sales operations, CRM, or growth roles.
Can we use real customer data?
Only use data you are authorised to share. A guided dataset and workflow brief are available when needed.
Does the course promise campaign results?
No. It teaches a practical workflow and evaluation approach; outcomes depend on data, context, execution, and review.
What is the refund policy?
Eligibility, cut-off dates, transfers, and cancellations are stated in the refund policy and enrolment confirmation.
Make your next growth decision more evidence-led.
Ask for dates, fee, prerequisites, or a team-training conversation.