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.

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Natural Language Processing, Tensorflow, Model Optimization, Model Evaluation, MLOps (Machine Learning Operations), Computer Vision, Large Language Modeling, Reinforcement Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Keras (Neural Network Library), Systems Design, Applied Machine Learning, AI Personalization, Cloud Deployment, Machine Learning
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

University of Glasgow
Skills you'll gain: Generative AI, Data Preprocessing, Model Evaluation, Generative Model Architectures, Dimensionality Reduction, Applied Machine Learning, Feature Engineering, Image Analysis, Tensorflow, Generative Adversarial Networks (GANs), Computer Vision, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Convolutional Neural Networks, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Large Language Modeling, Data Cleansing, Autoencoders
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation
★ 4.5 (74) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Applied Machine Learning, Computational Logic, Machine Learning, Logical Reasoning, Unsupervised Learning, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Problem Solving, Data-Driven Decision-Making, Probability & Statistics, Systems Design
★ 5 (10) · Mixed · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming
★ 4.8 (168) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation
★ 4.6 (2.6K) · Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming
★ 4.6 (14K) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization
★ 4.7 (71) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Open Mindset, Professional Development, Constructive Feedback, Interactive Learning, Mental Concentration, Personal Development, Teaching, Self-Motivation, Psychology, Learning Strategies
Beginner · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
★ 3.7 (345) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Digital pedagogy, Virtual Environment, Stress Management, Patient Communication, Communication Strategies, Instructional Design, Organizational Skills, Active Listening, Communication, Collaboration, Driving engagement, Emotional Intelligence, Planning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, AI Personalization, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks