Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

The University of Tokyo
Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Materials science
★ 4.9 (26) · Intermediate · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, AI literacy, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Model Training, Digital Transformation
★ 4.1 (10) · Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
★ 4.7 (109) · Advanced · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Generative AI, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Graph Theory, Network Analysis, Artificial Neural Networks, Network Model, Health Informatics, Laboratory Experience, Autoencoders, Predictive Modeling, Unsupervised Learning, Data Synthesis
★ 3.5 (16) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, CI/CD, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support
★ 4.9 (19) · Beginner · Guided Project · Less Than 2 Hours

Commonwealth Education Trust
Skills you'll gain: Curriculum Development, Curriculum Planning, Teaching, Education and Training, Instructional and Curriculum Design, Instructing, Instructional Strategies, Pedagogy, Student-Centred Learning, Collaboration, Learning Theory, Planning
★ 4.6 (533) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Decision Intelligence, Verification And Validation, Release Management, Maintainability, Machine Learning, Experimentation, Performance Testing, Benchmarking, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Application Deployment, Cloud Deployment, Docker (Software), Containerization, Continuous Deployment, DevOps, API Testing, CI/CD, Kubernetes, Model Evaluation, Test Tools, Applied Machine Learning, Data Validation, Application Programming Interface (API), API Design, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
Beginner · Course · 1 - 4 Weeks