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  • Deep Reinforcement Learning

Deep Reinforcement Learning Courses

Deep Reinforcement Learning courses can help you learn the principles of reinforcement learning, neural networks, and policy gradients. You can build skills in algorithm design, reward optimization, and environment simulation. Many courses introduce tools like TensorFlow and PyTorch, that support implementing AI models, along with techniques for training agents in complex environments.

Popular Deep Reinforcement Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Learning with AI

    Skills you'll gain: Large Language Modeling, LLM Application, Learning Strategies, Education Software and Technology, AI Personalization, AI literacy, Lifelong Learning, Human Learning, Adult Learning Principles, Student-Centred Learning, Generative AI, Critical Thinking, Goal Setting

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Blended Learning Toolkit

    Skills you'll gain: Digital pedagogy, Blended Learning, Education Software and Technology, Student Engagement, Learning Management Systems, Digital Transformation, Collaborative Software, Curriculum Development, Teaching, digital literacy, Content Management Systems, Web Design and Development, Web Presence, Content Management, Planning, Research, Auditing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Smart Learning Design

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Interactive Learning, Instructional Design, Innovation, Solution Design, Learning Strategies, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Continuous Deployment, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of California, Irvine

    Introduction to Learning Transfer and Life Long Learning (3L)

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Knowledge Transfer, On-The-Job Training, Learning Theory, Motivational Skills, Lifelong Learning, Willingness To Learn, Human Learning, Culture Transformation, Organizational Change, Performance Measurement, Change Management, Learning Strategies, Overcoming Obstacles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    232 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    468 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Python Programming, Model Optimization, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    E-Learning Development for Trainers

    Skills you'll gain: Learning Management Systems, Surveys, Course Development, Metadata Management, Training and Development, Instructional Design, Dashboard, Interactive Learning, System Configuration, Information Architecture, Digital Content, Content Development and Management, Content Management Systems, Education Software and Technology, Content Management, Management Training And Development, Interactive Design, Multimedia

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    221 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular deep reinforcement learning courses

  • Learning with AI: Politecnico di Milano
  • Blended Learning Toolkit: Columbia University
  • Smart Learning Design: Politecnico di Milano
  • Java in Machine Learning: Board Infinity
  • Introduction to Learning Transfer and Life Long Learning (3L): University of California, Irvine
  • Supervised Machine Learning: Regression: IBM
  • Supervised Machine Learning: Classification: IBM
  • Machine Learning Foundations: Packt
  • E-Learning Development for Trainers: EDUCBA
  • Machine Learning Algorithms: Sungkyunkwan University

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