What You’ll Learn: Marketing AI Fundamentals
You’ll go from understanding basic ML models to applying them specifically to solve common marketing challenges like personalization, churn prediction, and content optimization.
Customer Segmentation & Clustering
Use unsupervised learning to identify distinct customer groups for targeted marketing.
Predictive Analytics
Build models to predict customer lifetime value (CLV), churn, and conversion probability.
NLP for Content & Sentiment
Analyze social media posts, reviews, and ad copy using NLP to gauge sentiment and effectiveness.
Campaign Optimization
Use ML to optimize ad spend, target audiences, and A/B test variations for maximum ROI.
Who Is This Course For?
Ideal for marketing professionals, analysts, and developers looking to apply AI for data-driven decision making and automation.
- Marketing analysts wanting to use ML for insights
- Business professionals aiming to optimize marketing spend
- Developers building marketing automation tools
Hands-On Projects
Customer Segmentation Model
Cluster customers based on purchase history and demographics to define marketing personas.
Ad Copy Sentiment Analyzer
Use NLP to predict how well different ad headlines will perform based on sentiment.
Capstone
Campaign Performance Predictor
Build an end-to-end model to forecast the success of a new marketing campaign.
3-Week Marketing AI Syllabus
~36 hours total • Lifetime LMS access • 1:1 mentor support
Week 1: Customer Analytics
- Introduction to marketing analytics KPIs
- Customer data exploration and preparation
- Unsupervised learning for segmentation (K-Means, DBSCAN)
- Churn prediction models
Week 2: NLP for Marketing
- Sentiment analysis on reviews and social media
- Topic modeling for content themes
- Text preprocessing for marketing data
- Keyword extraction and trend analysis
Week 3: Campaign Optimization
- Conversion rate prediction models
- Attribution modeling concepts
- Dynamic pricing and promotion optimization
- Capstone project: End-to-end marketing AI system
NSTC‑Accredited Certificate
Share your verified credential on LinkedIn, resumes, and portfolios.
Frequently Asked Questions
No prior marketing experience is required, but a basic understanding of marketing concepts (e.g., campaigns, customer segments, conversion) is helpful. Strong Python and data analysis skills are essential.
Yes! You will analyze real-world datasets like customer demographics, ad click logs, email open rates, and product reviews to build predictive models and optimize campaigns.
