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  • Reinforcement Learning

Reinforcement Learning Courses

Reinforcement Learning courses can help you learn key concepts like Markov decision processes, reward systems, and policy optimization. You can build skills in algorithm design, simulation environments, and evaluating agent performance. Many courses introduce tools such as TensorFlow and OpenAI Gym, that support implementing and testing reinforcement learning algorithms in practical scenarios.

Popular Reinforcement Learning Courses and Certifications


  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing

    ★ 4.4 (5K) · Intermediate · Professional Certificate · 3 - 6 Months

  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation

    ★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning

    ★ 4.7 (78K) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Robot Modeling, Simulation, and Control with ROS 2

    Skills you'll gain: Robotics, Machine Controls, 3D Modeling, Automation Engineering, 3D Assets, Simulation and Simulation Software, Simulations, Visualization (Computer Graphics), Computer-Aided Design, Image Analysis, Control Systems, Computer Vision, Python Programming, Extensible Markup Language (XML), Engineering, Software Engineering, C++ (Programming Language), System Configuration

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    ★ 4.6 (311) · Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    ★ 4.2 (613) · Advanced · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Data Analyst

    Skills you'll gain: Data Storytelling, Dashboard Creation, Data Presentation, Data Wrangling, Generative AI, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Plot (Graphics), Dashboard, Interactive Data Visualization, Data Analysis, Professional Networking, IBM Cognos Analytics, Excel Formulas, Python Programming, Microsoft Excel

    ★ 4.6 (99K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job Skills
    Job Skills
  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    ★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Data Wrangling, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Plot (Graphics), Unsupervised Learning, Interactive Data Visualization, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Python Programming

    ★ 4.6 (150K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job Skills
    Job Skills
  • U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining

    ★ 4.6 (16K) · Intermediate · Specialization · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Generative Model Architectures, AI literacy, Deep Learning, Stakeholder Analysis, Statistical Machine Learning

    ★ 4.7 (14K) · Intermediate · Specialization · 1 - 3 Months

    Category: Top AI Program
    Top AI Program
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In summary, here are 10 of our most popular reinforcement learning courses

  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Mathematics for Machine Learning: Imperial College London
  • What is Data Science? : IBM
  • Robot Modeling, Simulation, and Control with ROS 2: Packt
  • Machine Learning Introduction for Everyone: IBM
  • MLOps | Machine Learning Operations: Duke University
  • IBM Data Analyst: IBM
  • IBM Introduction to Machine Learning: IBM
  • IBM Data Science: IBM
  • Machine Learning: University of Washington

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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