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.

Corporate Finance Institute
Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Literacy, Data Visualization, Data Transformation, Data Analysis, Box Plots, Model Training, Python Programming, Data Science
Advanced · Course · 1 - 3 Months

Politecnico di Milano
Skills you'll gain: Augmented and Virtual Reality (AR/VR), Digital pedagogy, Education Software and Technology, Augmented Reality, Virtual Environment, Virtual Reality, Innovation, Design Strategies, Emerging Technologies
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Methods, Model Optimization, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Model Training, Dimensionality Reduction, Machine Learning, Embeddings, Model Evaluation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Model Training, Generative Model Architectures, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Presentation, Machine Learning Software, Prompt Engineering, Model Evaluation, Feature Engineering, Fine-tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Model Training, Devops Tools, Application Lifecycle Management, AI Workflows, Model Evaluation, Cloud Deployment, Machine Learning Methods, Applied Machine Learning, Continuous Monitoring, Automation
Intermediate · Course · 1 - 4 Weeks

John Wiley & Sons
Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Business Planning, AI Enablement, Leadership and Management, Machine Learning, Process Development, Decision Making, Technology Roadmaps
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture
Intermediate · Specialization · 3 - 6 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Differentiated Instruction, Education and Training, Diversity Awareness, Cultural Diversity, Digital pedagogy, Special Education, Human Learning, Teaching, Pedagogy, Higher Education, Student-Centred Learning, Instructional Strategies, Social Justice, Socioeconomics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking
Intermediate · Course · 1 - 3 Months