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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


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Decision Intelligence, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Data Validation, Performance Measurement

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    Arizona State University

    AI-Powered K-12 Teaching and Learning

    Skills you'll gain: Generative AI, Classroom Management, Responsible AI, Differentiated Instruction, Education Software and Technology, AI Personalization, Lesson Planning, Data Ethics, AI Integrations, Digital pedagogy, Instructional and Curriculum Design, Technical Communication, Ethical Standards And Conduct, Automation, Communication Strategies, Strategic Communication, Critical Thinking

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing, Model Evaluation, Predictive Modeling, Predictive Analytics, Diagnostic Tests, Analytics, Classification Algorithms, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning for Kyphosis Disease Classification

    Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Wrangling, Data Preprocessing, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Text Mining, Statistical Analysis, Matlab, Statistical Methods, Data Visualization, Visualization (Computer Graphics), Descriptive Statistics, Unstructured Data, Data Analysis, Statistical Software, Computer Programming, Mathematical Software, Applied Machine Learning, Data Transformation, Data Preprocessing, Data Manipulation, Analytics, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Lawyers: Learning and Leading

    Skills you'll gain: AI literacy, Critical Thinking, Legal Technology, Advocacy, Artificial Intelligence, AI Integrations, Communication, Leadership Development, Lifelong Learning, Professional Development, Constructive Feedback, Leadership, Adaptability, Communication Strategies, Creativity, Generative AI

    4.4
    Rating, 4.4 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Interpretable machine learning applications: Part 3: Coursera
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • AI-Powered K-12 Teaching and Learning: Arizona State University
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Learn MLOps for Machine Learning: Pearson
  • Machine Learning for Kyphosis Disease Classification: Coursera
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA

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