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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


  • J

    John Wiley & Sons

    Foundations of Machine Learning: Concepts, Tools, and Math

    Skills you'll gain: Data Literacy, Responsible AI, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Unstructured Data, Generative AI, Machine Learning Algorithms, Model Training, NumPy, Python Programming, Data Science, Scalability, Artificial Intelligence, Supervised Learning, Data Preprocessing, Unsupervised Learning, Feature Engineering, Algorithms

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

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

    4.8 stars, 121 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (121) · Beginner · 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 stars, 16 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (16) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Applied Python: Web Dev, Machine Learning & Cryptography

    Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Cryptographic Protocols, Regression Analysis, Apache, Web Development, Web Scraping, Model Training, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Secure Coding, Public Key Cryptography Standards (PKCS), Natural Language Processing, Web Applications, Key Management, Python Programming

    4.8 stars, 75 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.8 (75) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Model Training, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Scientific Visualization, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Preprocessing, Machine Learning, Development Environment

    3.8 stars, 18 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 3.8 (18) · Intermediate · Guided Project · Less Than 2 Hours

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Code Reusability, Programming Principles, Data Import/Export, Data-oriented programming, Scripting, Data Analysis, Real Time Data, Data Science, Analysis, Computational Logic, Data Analysis Software, Data Manipulation, Applied Machine Learning, Machine Learning Methods, Complex Problem Solving, Machine Learning

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Histogram, Predictive Modeling, Data Visualization, Predictive Analytics, Data Preprocessing, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Economics, Policy, and Social Studies, Development Environment, Software Engineering

    4.6 stars, 43 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (43) · Beginner · Guided Project · Less Than 2 Hours

  • 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 stars, 35 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (35) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Spatial Analysis, 3D Data & Machine Learning

    Skills you'll gain: Model Evaluation, Spatial Analysis, Spatial Data Analysis, Geostatistics, Geospatial Mapping, Model Training, Geospatial Information and Technology, Geographic Information Systems, Applied Machine Learning, Image Analysis, Feature Engineering, Machine Learning Methods, Deep Learning, Convolutional Neural Networks, Machine Learning, Data Processing, Fine-tuning, Data Analysis, Random Forest Algorithm

    Beginner · Course · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1…363738…834

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

  • Foundations of Machine Learning: Concepts, Tools, and Math: John Wiley & Sons
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Interpretable machine learning applications: Part 5: Coursera
  • AI Machine Learning with R & Python Projects: EDUCBA

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