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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


  • C

    Coursera

    Introduction to HTML

    Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-Tuning and Evaluating Vision AI Models

    Skills you'll gain: Transfer Learning, Image Analysis, Computer Vision, Model Evaluation, Convolutional Neural Networks, Verification And Validation, Model Deployment, Performance Metric, Quality Assessment, Performance Tuning, Performance Measurement, Data Quality, Applied Machine Learning, Data Validation, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Principles of Data Science

    Skills you'll gain: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity

    Beginner · Course · 3 - 6 Months

  • Status: Free
    Free
    U

    University of Washington

    Lesson | Business English Skills: How to Navigate Tone, Formality, and Directness in Emails

    Skills you'll gain: Business Correspondence, Business Writing, English Language, Language Competency, Writing, Business Communication, Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems Complete Course Beginner to Advanced

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    Cybersecurity Operations Fundamentals

    Skills you'll gain: MITRE ATT&CK Framework, Incident Response, Cyber Threat Intelligence, Cyber Threat Hunting, Key Management, Data Security, Threat Modeling, Computer Security Incident Management, File Systems, Endpoint Security, Cryptography, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Linux, Malware Protection, Operating System Administration, Vulnerability Assessments, Threat Detection, Cybersecurity, Workflow Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to HTML: Coursera
  • Vision Models: Train and Evaluate: Coursera
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Production AI Model Development and Ethics: Coursera
  • Fine-Tuning and Evaluating Vision AI Models: Coursera
  • Principles of Data Science: Packt
  • Lesson | Business English Skills: How to Navigate Tone, Formality, and Directness in Emails: University of Washington
  • Validate and Explain Your ML Models: Coursera
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera

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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