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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


  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Systems Thinking Basics

    Skills you'll gain: Systems Thinking, Creative Thinking, Innovation, Systems Analysis, Complex Problem Solving, Analysis, Business Systems Analysis, Strategic Thinking, Critical Thinking, Organizational Change, Decision Making, Collaboration

    ★ 4.7 (86) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Collaborate with Mentions

    Skills you'll gain: Cross-Functional Collaboration, IT Management, Information Technology, Collaborative Software, Accountability, Communication, Coordinating, Virtual Teams, User Feedback, Shared Media, Editing, Stakeholder Engagement, Digital Communications, Peer Review, Business Strategies, Content Strategy, Business Acumen

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Prompt Engineering, Vector Databases, Embeddings, System Monitoring, Application Security, Fine-tuning, Artificial Intelligence, Model Evaluation

    ★ 4.8 (196) · Intermediate · Course · 1 - 3 Months

    Category: Bestseller
    Bestseller
  • C

    Coursera

    Architect Reusable AI Agent Systems

    Skills you'll gain: Agentic systems, Code Reusability, AI Integrations, Engineering Software, Systems Architecture, API Design, Systems Design, Solution Architecture, Artifactory, Generative Model Architectures, Release Management

    Intermediate · Course · 1 - 4 Weeks

  • S

    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Systems Architecture, Engineering Software, Enterprise Modeling, Systems Analysis, Product Lifecycle Management, Process Modeling, Diagram Design, Solution Architecture, System Requirements, Requirements Analysis, Cloud Computing

    ★ 4.1 (71) · Beginner · Course · 1 - 3 Months

  • E

    Edureka

    RAG Systems in Practice

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LangChain, Performance Tuning, Application Deployment, AI Workflows, AI Integrations, Generative AI, LLM Application, LangGraph, Embeddings, Large Language Modeling, Context Management, Performance Testing, Vector Databases, Data Preprocessing, Scalability, Model Evaluation, Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Systems Architecture, Systems Design, Systems Development, Functional Design, Requirements Analysis, System Requirements, Functional Requirement, Verification And Validation

    ★ 4.8 (293) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Plot (Graphics), Generative AI, Vector Databases, LLM Application, Text Mining, Dimensionality Reduction

    ★ 4.2 (6) · Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Java Programming: Build a Recommendation System

    Skills you'll gain: Software Design, Code Reusability, Program Development, Java, Java Programming, AI Personalization, Object Oriented Programming (OOP), Data Preprocessing, Data Structures, Algorithms, File I/O, Hypertext Markup Language (HTML)

    ★ 4.7 (659) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Design That Scales: Sustainable Design Systems

    Skills you'll gain: UI Components, Systems Design, User Interface (UI) Design, Digital Design, System Design and Implementation, Design Strategies, User Interface and User Experience (UI/UX) Design, Design, Design Software, Scalability, Design and Product, Agile Methodology, Usability, Design Research, Style Guides, Agile Product Development, UI/UX Research, Product Testing, System Programming, Prompt Patterns

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Decision Intelligence, Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Machine Learning, Business Metrics, Predictive Analytics, Analysis

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular recommender systems courses

  • Foundations of Data Science and Machine Learning with Python: Packt
  • Systems Thinking Basics: Coursera
  • Collaborate with Mentions: Coursera
  • Retrieval Augmented Generation (RAG): DeepLearning.AI
  • Architect Reusable AI Agent Systems: Coursera
  • Introduction to Model-Based Systems Engineering: Siemens
  • RAG Systems in Practice: Edureka
  • Systems Engineering: MathWorks
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Java Programming: Build a Recommendation System: Duke University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
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Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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