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: Penetration Testing, Vulnerability Assessments, Network Protocols, Network Security, Network Analysis, Network Monitoring, Image Analysis, Virtual Machines, Virtualization and Virtual Machines, Virtual Environment, Open Source Technology, Malware Protection, Command-Line Interface, Software Installation, Linux, Microsoft Windows
Intermediate · 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

Northeastern University
Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics
Beginner · Guided Project · Less Than 2 Hours

The University of Edinburgh
Skills you'll gain: Discussion Facilitation, Environmental Issue, Climate Change Programs, Sustainable Development, Interactive Learning, Liberal Arts, Sustainability Standards, Environmental Policy, Community Development, Advocacy, Creativity, Education and Training, International Relations, Diplomacy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Cyber Threat Intelligence, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Routing Protocols, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
Intermediate · Course · 1 - 4 Weeks

Lund University
Skills you'll gain: Prompt Engineering, AI literacy, Brainstorming, Personal Integrity, AI Integrations, Ethical Standards And Conduct, Digital pedagogy, Learning Strategies
Beginner · Course · 1 - 4 Weeks

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