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: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Strategic Decision-Making, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
Mixed · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Differentiated Instruction, Collaborative Software, Education Software and Technology, Learning Management Systems, Digital Transformation, Emerging Technologies, Innovation, Multimedia, Digital Communications
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Large Language Modeling, PyTorch (Machine Learning Library), Secure Coding, Personally Identifiable Information, Information Privacy, Distributed Computing, Machine Learning
Beginner · Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Import/Export, Classification And Regression Tree (CART), Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning, Machine Learning Algorithms
Intermediate · Guided Project · Less Than 2 Hours

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Intermediate · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
Advanced · Course · 1 - 3 Months