Recommender Systems Courses
Recommender systems courses can help you learn collaborative filtering, content-based filtering, and hybrid approaches to personalization. You can build skills in data analysis, user behavior modeling, and algorithm evaluation. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing machine learning algorithms, as well as frameworks for managing large datasets and user interactions.
Popular Recommender Systems Courses and Certifications
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning
28DIGITAL
Skills you'll gain: Model Evaluation, Data Ethics, AI Personalization, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Machine Learning Methods, Innovation, Algorithms, Data Preprocessing, Performance Tuning, Fine-tuning
Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
University of Minnesota
Skills you'll gain: Spreadsheet Software, Analysis, Systems Design, Solution Design, Systems Analysis, Model Evaluation, Machine Learning Algorithms, Algorithms
University of Colorado System
Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Machine Learning Algorithms, Model Training, Agentic Workflows, Decision Intelligence, Data Governance, AI Enablement, Health Systems, Health Informatics, Artificial Intelligence, Digital Transformation, Healthcare Industry Knowledge, Human Factors (Security), Generative AI Agents, Health Technology, Health Information Management, Information Technology, Information Systems
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks
Skills you'll gain: Data Manipulation, Data Wrangling, AI Personalization, Model Evaluation, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Data Cleansing, Statistical Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Taxonomy, Text Mining, Data Analysis, Artificial Intelligence, Deep Learning
University of Minnesota
Skills you'll gain: Taxonomy, Spreadsheet Software, Microsoft Excel, Statistical Methods, Descriptive Statistics, Statistics, Algorithms, Computer Programming
University of Minnesota
Skills you'll gain: Model Evaluation, Decision Support Systems, Business Metrics, Test Data, Performance Metric, Performance Testing, Data Collection, Performance Measurement, Benchmarking, A/B Testing, Predictive Analytics, Product Assortment
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Google Gemini, AI Workflows, Agentic Workflows, OpenAI API, Generative AI Agents, Generative AI, Multimodal Prompts, Prompt Engineering, Semantic Web, Large Language Modeling, Data Pipelines, Natural Language Processing, Workflow Management, Database Management, Application Programming Interface (API), Automation, Machine Learning
Skills you'll gain: Model Deployment, Responsible AI, No-Code Development, Business Metrics, Data Ethics, AI Personalization, AI Integrations, Return On Investment, Customer experience improvement, Language Interpretation, Translation, and Studies, Performance Measurement, Key Performance Indicators (KPIs), Cross Platform Development, Continuous Improvement Process, Natural Language Processing, User Feedback, Systems Integration, System Design and Implementation, Machine Learning Algorithms, Unsupervised Learning
University of Minnesota
Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Analysis, Business Systems, Cyber Attacks, Cloud Computing, Cyber Security Strategy, Cloud Services, IT Management, Change Management, Business Software, Organizational Change, Technology Strategies, Information Technology, Project Management, Critical Thinking
In summary, here are 10 of our most popular recommender systems courses
- Machine Learning: DeepLearning.AI
- Basic Recommender Systems: 28DIGITAL
- Building Recommender Systems with Machine Learning and AI: Packt
- Recommender Systems Capstone: University of Minnesota
- AI for Healthcare Systems: University of Colorado System
- Reinforcement Learning: University of Alberta
- Recommender Systems with Machine Learning: Packt
- Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
- Recommender Systems: Evaluation and Metrics: University of Minnesota
- AI Memory Systems: Production RAG Pipelines with n8n: LearnKartS
