What You’ll Learn: AI That Understands Shoppers
Move beyond generic marketing—deploy AI that anticipates needs, curates experiences, and builds lasting customer loyalty across online and offline channels.
Recommender Systems
Build and evaluate collaborative, content-based, and hybrid recommendation engines.
Customer Behavior Analytics
Analyze clickstreams, purchase history, and session data to predict intent.
Dynamic Personalization
Deliver real-time product, content, and offer personalization across web, app, and email.
Ethics & Privacy in Retail AI
Ensure transparency, consent, and fairness in AI-driven personalization.
Who Should Enrol?
For retail and e-commerce leaders ready to harness AI for smarter, more human-centered customer experiences.
- Retail & E-commerce Managers
- Digital Marketing & CRM Professionals
- Product Owners & UX Strategists
- Data Analysts in Consumer Industries
Hands-On Retail AI Labs
Product Recommendation Engine
Build a hybrid recommender using anonymized e-commerce transaction data.
Customer Journey Personalizer
Design dynamic email and web content based on behavioral segments.
Capstone
AI Retail Strategy Proposal
Develop a full AI-powered personalization roadmap for your brand or business.
3-Week Retail & E-commerce AI Syllabus
~36 hours total • Lifetime LMS access • 1:1 mentor support
Week 1: Foundations of AI in Retail
- Evolution from CRM to AI-driven personalization
- Key data sources: transactions, clicks, reviews, loyalty
- Ethical considerations and customer trust
Week 2: Recommender Systems & Personalization
- Types of recommenders: collaborative, content-based, hybrid
- Evaluation metrics: precision, recall, novelty, diversity
- Hands-on with no-code personalization platforms
Week 3: Analytics, Ethics & Certification
- Measuring business impact: CTR, conversion, CLV
- GDPR, CCPA, and responsible data use
- Certification prep & capstone submission
NSTC‑Accredited Certificate
Share your verified credential on LinkedIn, resumes, and portfolios.
Frequently Asked Questions
No. This course is designed for retail and e-commerce professionals—not data scientists. You’ll learn to interpret AI insights and configure recommender systems using intuitive, no-code platforms.
Yes! You’ll analyze anonymized datasets from major retailers and e-commerce platforms to build and test product recommendation engines, customer journeys, and personalization strategies.
