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.

Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Analysis, Predictive Modeling, Data Pipelines, Data Import/Export, Regression Analysis, Data Science, Pandas (Python Package), Data Manipulation, Predictive Analytics, Data Cleansing, Statistical Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Matplotlib, Data Visualization, Scatter Plots, Python Programming
Intermediate · Course · 1 - 3 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Exercise Science, Kinesiology, Physiology, Sports Medicine, Nutrition and Diet, Pharmacology, Public Health and Disease Prevention, Immunology, Preventative Care, Respiration, Athletic Training, Endocrinology, Chronic Diseases, Vital Signs, Biochemistry, Public Health, Mental Health
Beginner · Course · 1 - 4 Weeks

University of Virginia
Skills you'll gain: New Product Development, Product Management, Innovation, Product Improvement, Product Lifecycle Management, Design Thinking, Product Roadmaps, Customer Insights, Agile Methodology, Customer Engagement, Product Testing, Web Analytics, Data-Driven Decision-Making, Growth Strategies, User Story, Lean Methodologies
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Drug Development, Clinical Trials, Pharmaceuticals, Clinical Research, Commercialization, Pre-Clinical Development, Good Clinical Practices (GCP), Pharmacotherapy, Pharmacology, Regulatory Affairs, Intellectual Property, Sales Strategy, Biotechnology, Portfolio Management, Bioinformatics, Precision Medicine, Strategic Partnership, Regulatory Compliance, Marketing, Marketing Strategies
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Growth Mindedness, Organizational Development, Willingness To Learn, AI Enablement, Lifelong Learning, Personal Development, Self-Awareness, Leadership Development, Mindfulness
Intermediate · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics
Intermediate · Specialization · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Context Management
Beginner · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Kinesiology, Applied Machine Learning, Bayesian Network, Machine Learning, Data-Driven Decision-Making, Epidemiology, Load Balancing, Health Education, Data Integration, Systems Engineering, Psychological Evaluations
Beginner · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months