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: AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Customer Analysis, Marketing Analytics, Data Transformation, Predictive Analytics, Customer Engagement, Predictive Modeling, Data-Driven Marketing, Machine Learning Methods, Customer experience improvement, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Text Mining, Marketing Strategies, Business Intelligence, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation
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
★ 4.2 (17) · Intermediate · Course · 1 - 4 Weeks

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: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, DevOps, Application Lifecycle Management, Machine Learning Methods, AI Workflows, Applied Machine Learning, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Demand Planning, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory and Warehousing, Transportation, Supply Chain, and Logistics, Logistics, Logistics Management, Forecasting, Exploratory Data Analysis, Model Training, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Shipping and Receiving, Machine Learning Methods, Correlation Analysis, Statistical Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms
★ 4.8 (8) · Beginner · Specialization · 3 - 6 Months

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: 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

Skills you'll gain: AI Personalization, Education Software and Technology, Driving engagement, Responsible AI, Learning Management Systems, Data-Driven Decision-Making, Prompt Engineering, Analytics, Data Ethics, Artificial Intelligence, Generative AI, Quality Assurance, Data Analysis, Analytical Skills
Intermediate · Course · 1 - 4 Weeks

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
★ 4.4 (27) · Beginner · Course · 1 - 4 Weeks