Recommender Systems Courses and Certifications

Nvidia

Mastering Recommender Systems

28 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

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

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

5957 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

3452 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

Sungkyunkwan University

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

179 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

158 ratings at Udemy

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

• Udemy
• 4 hours 22 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

IIT Kharagpur;  NPTEL

Recommender Systems

Explore recommender systems' foundations, algorithms, and applications. Learn data preprocessing, collaborative filtering, content-based techniques, and evaluation methods for effective recommendation systems.

• Swayam
• 8 weeks
• On-Demand
• Free Online 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
• 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)

James Briggs

Evaluation Measures for Search and Recommender Systems

Learn popular offline metrics for evaluating search and recommender systems, including Recall@K, MRR, MAP@K, and NDCG@K, with Python demonstrations and practical insights for improving information retrieval systems.

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

CodeEmporium

Let's Build a Music Recommender!

Build a music recommender using AudioSet dataset, embedding generation, and ANNOY for efficient similarity search. Learn to process audio data and create a recommendation engine.

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

Association for Computing Machinery (ACM)

Deep Learning for Search and Recommender Systems in Practice

Explore deep learning techniques for search and recommendation systems, covering document retrieval, ranking, personalization, and evaluation metrics. Learn about pointwise, pairwise, and listwise ranking approaches.

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