Recommendation Systems Courses and Certifications

Mining Massive Datasets

24 ratings

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

• edX
• 7 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Recommender Systems and Deep Learning in Python

6243 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
• Self-Paced
• Paid Course

Building Recommender Systems with Machine Learning and AI

3749 ratings at Udemy

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

• Udemy
• 11 hours 47 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

EDUCBA

Recommendation Engine - Basics

29 ratings at Coursera

Discover how to build movie recommendation systems using Python, collaborative filtering, and the Surprise library with hands-on model evaluation and deployment techniques.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

EDUCBA

Project on Recommendation Engine - Advanced Book Recommender

25 ratings at Coursera

Master building personalized book recommendation systems using Python, combining collaborative and content-based filtering into hybrid models with real-world applications.

• Coursera
• 4 hours 37 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

EDUCBA

Project on Recommendation Engine - Book Recommender

12 ratings at Coursera

Discover how to build a functional book recommendation engine using Python, data science techniques, and content-based filtering to create personalized suggestions.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

EDUCBA

Develop a Movie Recommendation Engine

10 ratings at Coursera

Discover how to build movie recommendation systems using Python, from popularity-based models to content-based filtering with real-world data and machine learning techniques.

• Coursera
• 2 hours 52 minutes
• Self-Paced
• Paid Course

Packt Credential

Recommender Systems

7 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/week
• Self-Paced
• 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/week
• Self-Paced
• 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
• Self-Paced
• Paid Course

Les coulisses des systèmes de recommandation

Exploration approfondie des systèmes de recommandation, couvrant l'apprentissage automatique, l'évaluation, la modélisation avancée, les bandits contextuels, le classement et l'équité algorithmique.

• edX
• 3 weeks, 29-31 hours/week
• Self-Paced
• 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
• 14 hours 23 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course