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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


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

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Generative AI Agents, Docker (Software), Agentic systems, Generative AI, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Embeddings, Fine-tuning, Supervised Learning, Deep Learning, Data Cleansing, Dataflow

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

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

    4.2
    Rating, 4.2 out of 5 stars
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    31 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Strategizing the Use of Generative AI in Learning Design

    Skills you'll gain: Responsible AI, Generative AI, ChatGPT, LLM Application, Education Software and Technology, AI Integrations, Design Strategies, Artificial Intelligence, Data Ethics, Content Creation, Professional Development

    4.9
    Rating, 4.9 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Data Visualization Software, Model Deployment, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    C++ Crash Course - Quick and Practical Learning

    Skills you'll gain: C and C++, File I/O, Memory Management, Code Reusability, Computer Programming Tools, Build Tools

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Unleash Team Potential: Assess Learning Needs Using GenAI

    Skills you'll gain: Team Performance Management, Generative AI Agents, Gap Analysis, Management Training And Development, Workforce Development, People Development, Training Programs, Training and Development, AI Enablement, Employee Training, Talent Management, Team Management, Performance Analysis, Job Analysis, Needs Assessment

    4.7
    Rating, 4.7 out of 5 stars
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    50 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Training and Learning Programs for Volunteer Community Health Workers

    Skills you'll gain: Training Programs, Education and Training, Smart Goals, Community Health, Train The Trainer, Educational Materials, Health Education, Adult Education, Needs Assessment, Planning, Case Management

    4.7
    Rating, 4.7 out of 5 stars
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    91 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Risk Management, Logistic Regression, Financial Data

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Strategizing the Use of Generative AI in Learning Design: University of Michigan
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • C++ Crash Course - Quick and Practical Learning: Packt
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Unleash Team Potential: Assess Learning Needs Using GenAI: Google Cloud
  • DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity

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