Reinforcement Learning courses can help you learn key concepts like Markov decision processes, reward systems, and policy optimization. You can build skills in algorithm design, simulation environments, and evaluating agent performance. Many courses introduce tools such as TensorFlow and OpenAI Gym, that support implementing and testing reinforcement learning algorithms in practical scenarios.
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Network Security, Cloud Computing, Virtualization, Network Infrastructure, Microsoft Azure, Firewall, Computer Networking, Digital Transformation, Cybersecurity, Virtual Machines, Network Monitoring, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 3 Months

Case Western Reserve University
Skills you'll gain: Negotiation, Leadership Development, Professional Development, Organizational Leadership, Communication, Leadership, Influencing, Overcoming Obstacles, Personal Development, Empowerment, Relationship Building, Self-Awareness, Workplace inclusivity, Diversity and Inclusion, Assertiveness
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Rice University
Skills you'll gain: File I/O, Development Environment, Data Structures, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages, Debugging
Beginner · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Immigration Law, Case Studies, International Relations, World History, Social Justice, Socioeconomics, Cultural Sensitivity, Demography, Policy Analysis, Social Sciences
Beginner · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Computational Thinking, Social Sciences
Intermediate · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Grammar, English Language, Language Learning, Language Competency
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, ChatGPT, Large Language Modeling, Embeddings, Data Processing, Data Import/Export, Vector Databases, Prompt Engineering, Document Management
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Natural Language Processing, Transfer Learning, Tensorflow, Google Cloud Platform, Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, AI Workflows, Artificial Neural Networks, Feature Engineering, Model Evaluation
Advanced · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks