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: NewSkills you'll gain: Cryptography
Status: NewSkills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Responsive Web Design, Web Design, Cascading Style Sheets (CSS), Web Design and Development, Web Content Accessibility Guidelines, Typography
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Processing, Data Modeling, Data Management, Applied Machine Learning, Data Storage, Data Import/Export, Scalability
Status: NewStatus: Free TrialSkills you'll gain: Javascript, Frontend Performance, Scripting, Real Time Data, Browser Compatibility, Data Storage, HTML and CSS, Maintainability, Data Validation, Debugging
Status: NewStatus: Free TrialSkills you'll gain: Software Design Patterns, Functional Design, Programming Principles
Status: NewStatus: Free TrialSkills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Status: PreviewSkills you'll gain: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Status: PreviewGoogle Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Preprocessing, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering
Status: NewBirla Institute of Technology & Science, Pilani
Skills you'll gain: Game Design, Video Game Development, Live Streaming, Animation and Game Design, Systems Thinking, Aesthetics, Social Sciences, Economics, Policy, and Social Studies, Liberal Arts, Culture, Education and Training, Social Impact, Electronic Media, Psychology, Interactive Learning, Storytelling, User Experience, Media Strategy, Critical Thinking, Digital Media Strategy
Status: NewStatus: Free TrialSkills you'll gain: UI Components, C# (Programming Language), Application Frameworks, Network Routing, Web Applications, Javascript, Event-Driven Programming, Model View Controller, Server Side, Data Modeling
Status: NewStatus: PreviewSkills you'll gain: Salesforce, Data Mapping, Advanced Analytics, Data Integration
Searches related to deep reinforcement learning
In summary, here are 10 of our most popular deep reinforcement learning courses
- Algorithmic Problem Solving: Packt
- HTML Tutorial for Beginners: Packt
- MLOps with Vertex AI: Manage Features - Français: Google Cloud
- Intermediate JavaScript & Best Practices: Packt
- Advanced Python Features and Functions: Packt
- Data Science Fundamentals Part 2: Unit 3: Pearson
- Explore and Visualize Data the Python Way: Coursera
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- Excel: Apply & Evaluate Unsupervised Clustering: EDUCBA
- Video Games - Technology and Social Impacts: Birla Institute of Technology & Science, Pilani
