Recommender Systems Courses and Certifications

Nvidia

Mastering Recommender Systems

30 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

Recommender Systems and Deep Learning in Python

6235 ratings at Udemy

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

• Udemy
• 12 hours 49 minutes
• On-Demand
• Paid Course

Building Recommender Systems with Machine Learning and AI

3645 ratings at Udemy

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

• Udemy
• 11 hours 47 minutes
• On-Demand
• Paid Course

Microcredential

Recommender Systems

832 ratings at Coursera

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
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

The Ultimate Beginners Guide to Python Recommender Systems

189 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

EIT Digital;  Politecnico di Milano

Basic Recommender Systems

43 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
• Paid Course

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
• Paid Course

Packt Microcredential

Recommender Systems

5 ratings at Coursera

Master advanced recommender systems using machine learning, deep learning models like RNNs and LSTMs, and build real-world recommendation engines with TensorFlow and Python.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Recommender Systems: Behind the Screen

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

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
• Paid Course

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
• 14 hours 23 minutes
• On-Demand
• Paid Course

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
• 8 hours 15 minutes
• On-Demand
• Paid Course

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 58 minutes
• On-Demand
• Paid Course

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 45 minutes
• On-Demand
• Paid Course

Explore machine learning-based recommender systems, their applications, and learn to build, assess, and improve your own model for personalized recommendations.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available