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.

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Intermediate · Professional Certificate · 3 - 6 Months

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
Advanced · Specialization · 3 - 6 Months

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
Intermediate · Specialization · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
Beginner · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
Intermediate · Professional Certificate · 1 - 3 Months

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Beginner · Specialization · 1 - 3 Months

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Preprocessing, Data Access, Applied Machine Learning, Model Evaluation, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months