Recommender Systems Courses and Certifications

Microcredential

Recommender Systems

Comprehensive exploration of recommender systems, covering fundamental techniques to advanced topics. Gain practical skills through interactive exercises and implement real-world solutions using various algorithms and tools.

• Coursera
• 22 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

Recommender Systems and Deep Learning in Python

5651 ratings at Udemy

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

• Udemy
• 12 hours 31 minutes
• On-Demand
• Paid Course

Building Recommender Systems with Machine Learning and AI

3113 ratings at Udemy

How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.

• Udemy
• 11 hours 44 minutes
• On-Demand
• Paid Course

Building Recommendation Engines with PySpark

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Recommender Systems

Explore collaborative filtering, deep learning, and advanced concepts in recommender systems. Gain practical skills for building personalized recommendation algorithms.

• Coursera
• 16 hours 37 minutes
• On-Demand
• Free Online Course (Audit)

The Ultimate Beginners Guide to Python Recommender Systems

168 ratings at Udemy

Use collaborative filtering to recommend movies to users! Implementations step by step from scratch!

• Udemy
• 3 hours 54 minutes
• On-Demand
• Paid Course

Recommendation Engine Bootcamp

156 ratings at Udemy

Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies

• Udemy
• 4 hours 22 minutes
• On-Demand
• Paid Course

How to Build A Recommendation Engine In Python

46 ratings at Udemy

An easy to understand, hands-on tutorial to building a simple Recommendation Engine with same basic concepts as Netflix

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

EIT Digital;  Politecnico di Milano

Basic Recommender Systems

41 ratings at Coursera

Explore leading recommender system approaches, from collaborative to content-based. Learn algorithms, evaluation techniques, and design strategies for personalized recommendations across various domains.

• Coursera
• 11 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

EIT Digital;  Politecnico di Milano

Advanced Recommender Systems

23 ratings at Coursera

Explore advanced machine learning techniques for sophisticated recommender systems, including hybrid filtering, factorization machines, and cross-domain recommendations to enhance prediction accuracy and user experience.

• Coursera
• 14 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Recommender Systems with Machine Learning

Master recommender systems: from theory to practice. Build content-based and collaborative filtering models using Python and ML. Implement real-world projects for song and movie recommendations.

• Coursera
• 7 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Building Recommender Systems with Machine Learning and AI

Master Python, AI, and machine learning to build advanced recommender systems. From simple engines to hybrid ensembles, learn content-based filtering, collaborative filtering, and deep learning techniques.

• Coursera
• 13 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Recommender Systems Complete Course Beginner to Advanced

Master recommender systems from basics to advanced techniques. Learn filtering methods, deep learning models, and build real-world applications using TensorFlow. Gain practical skills for product recommendations and more.

• Coursera
• 9 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Recommender Systems: An Applied Approach using Deep Learning

Develop advanced recommender systems using deep learning. Explore neural collaborative filtering, build an Amazon product recommendation system, and implement TensorFlow models for real-world applications.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

Nvidia

Mastering Recommender Systems

5 reviews

Explore top strategies for building effective e-commerce recommendation systems, featuring insights from Kaggle Grandmasters on candidate generation, reranking, and model ensembling techniques.

• YouTube
• 47 minutes
• On-Demand
• Free Video