Recommendation Systems Courses and Certifications

Recommendation Systems Foundations

Explore foundational recommendation system algorithms, from baseline prediction models to similarity measures and advanced prediction techniques essential for building robust recommendation tools.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Content-Based Recommendation Systems

Dive into content-based recommendation systems, exploring factorization machines and DSSM with hands-on coding examples for developing personalized recommendation models using rich data.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Recommendation Systems Quality Evaluation

Explore recommendation system evaluation metrics like Coverage, Serendipity, Novelty, and Diversity through theoretical insights and practical coding examples.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Recommendation Systems Theory and Coding

Master collaborative filtering, content-based methods, and hybrid techniques to build recommendation systems from scratch with hands-on projects and real-world applications.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 4 courses

Recommendation Systems Foundations using JS

Master foundational algorithms for building recommendation systems using JavaScript, from baseline predictors to Pearson correlation and weighted averages for accurate predictions.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Content-Based Recommendation Systems using JS

Master content-based recommendation systems using JavaScript, from basic item profiling to advanced factorization machines for personalized recommendations.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Recommendation Systems Quality Evaluation using JS

Master recommendation system evaluation metrics like Coverage, Serendipity, Novelty, and Diversity through hands-on JavaScript implementation and practical coding examples.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Credential

Recommendation Systems Theory and Coding in JS

Master collaborative filtering, content-based methods, and hybrid techniques to build recommendation systems from scratch using JavaScript through hands-on projects.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 4 courses

EDUCBA Credential

Mastering Recommendation Systems with Python

71 ratings at Coursera

Master recommendation systems using Python, from collaborative filtering to hybrid models, with hands-on projects building movie and book recommenders using Surprise and Scikit-learn.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Recommendation Systems on Google Cloud

This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

• edX
• 2 hours
• Self-Paced
• Free Online Course (Audit)

Nvidia

Mastering Recommender Systems

30 ratings

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
• Self-Paced
• 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
• Self-Paced
• Free Trial Available

Data Science Dojo

Design of Recommendation Systems - Recommender Systems Using Deep Learning Explained

1 rating

Comprehensive overview of recommender systems, covering types, models, performance metrics, and design considerations. Equips learners with knowledge to create and evaluate effective recommendation systems.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

AI Engineer

Improving Recommendation Systems and Search in the Age of LLMs

Explore how LLMs revolutionize recommendation systems through semantic IDs, synthetic data augmentation, and unified models with real-world case studies from Amazon, Netflix, Spotify, and Etsy.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Databricks

Building Recommendation Systems Using Graph Neural Networks

Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.

• YouTube
• 26 minutes
• Self-Paced
• Free Video