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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


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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, AI Workflows, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Statistical Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Numerical Analysis, Computer Programming, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Data Quality, Machine Learning Software, Business Metrics, Machine Learning Methods, Machine Learning, Applied Machine Learning, Logistic Regression, Dataflow, Data Pipelines, Cloud Deployment

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Houston

    Powerful Tools for Teaching and Learning: Web 2.0 Tools

    Skills you'll gain: Collaborative Software, Digital pedagogy, Education Software and Technology, Collaboration, Learning Management Systems, Teaching, Communication, Technology Strategies, Technology Solutions, Web Applications, Communication Systems, Digital Communications

    4.5
    Rating, 4.5 out of 5 stars
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    189 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
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    12 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Game Development, Data Science, and Machine Learning

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, Machine Learning Software, Machine Learning Methods, Object Oriented Design, Data Wrangling, Game Design, Data Science, Data Import/Export, Development Environment

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    Django Advanced Applications: E-Learning, APIs, & Deployment

    Skills you'll gain: Django (Web Framework), Restful API, Content Management Systems, API Design, Application Deployment, Content Management, Learning Management Systems, Docker (Software), Web Servers, Nginx, Data Modeling, Web Development, PostgreSQL, Authentications, Containerization, Ajax, Python Programming, Performance Tuning, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Packt

    Machine Learning Product Management - Strategy to Deployment

    Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation

    Intermediate · Course · 1 - 3 Months

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

  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Foundations of Data Science and Machine Learning with Python: Packt
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Powerful Tools for Teaching and Learning: Web 2.0 Tools: University of Houston
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Game Development, Data Science, and Machine Learning: Packt
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Django Advanced Applications: E-Learning, APIs, & Deployment: Packt
  • Statistics You Need to Know for Machine Learning: SAS

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