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10% OFF on all Courses – Enroll Now! - قريباً مع إدماير ترينينغز – مفاجآت وتدريبات جديدة بانتظاركم (Coming soon with Edmire Trainings – surprises and new trainings await you)

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Why this course?

Personalisation

Predict what each user will want next.

Collaborative Filtering

Learn from patterns across users.

High-Value Skill

Recommenders drive revenue everywhere.

Program Overview

Recommender Systems teaches the machine learning behind personalised suggestions. Using Python on real datasets, you'll build content-based recommenders, collaborative filtering and matrix factorisation, and hybrid systems — the technology that powers Netflix, Amazon, Spotify and virtually every product that says "recommended for you".

Course Highlights:
  • Collaborative Filtering: Recommend from user-behaviour patterns.
  • Content-Based: Recommend by item similarity.
  • Matrix Factorisation: The technique behind modern recommenders.
  • Evaluation: Measure recommendation quality properly.
Prerequisites

Python & ML! Solid Python and machine-learning basics are recommended. This is an advanced, applied course.

Edmire Certified

Earn the "Recommender Systems" badge upon completing all modules and the hands-on final assessment.

Verifiable Credential

Tools & Libraries You'll Master

Python
Recommenders
Collab Filtering
Pandas
scikit-learn
Matrix Factorisation

Course Curriculum

5 Modules
Module 01
Recommenders & the Problem

How and why recommendation works.

4 Hours
Module 02
Content-Based Filtering

Recommend by similarity of items.

5 Hours
Module 03
Collaborative Filtering

Learn from patterns across many users.

6 Hours
Module 04
Matrix Factorisation & Hybrids

Modern techniques and combined systems.

6 Hours
Module 05
Evaluation & Capstone

Measure quality and build a real recommender.

3 Hours

Where This Can Take You

ML Engineer

Build personalisation and recommendation systems.

Data Scientist

Apply recommenders to real products.

E-commerce Specialist

Drive sales with smart recommendations.

Applied ML

Deliver measurable business value.

Frequently Asked Questions

Q: What experience do I need?

Solid Python and machine-learning basics are recommended. Our ML Fundamentals course is ideal preparation.

A laptop; we use free tools — Python, Pandas, scikit-learn and specialised libraries on Colab. Set-up help is provided.

To receive the Edmire Recommender Systems Certificate, complete all 5 modules and the capstone — a working recommender on real data. Resubmission is free if needed.

Everywhere personalisation matters — streaming, e-commerce, music, news and social media. They're a high-value, revenue-driving skill across many industries.

Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.

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