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.

Niel Asher Education
Skills you'll gain: Manual Therapy, Athletic Training, Respiratory Therapy
Advanced · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Precision Medicine, Accident Prevention, Data Ethics, Kinesiology, Applied Machine Learning, AI Enablement, Bayesian Network, Child Development, Working With Children, Machine Learning, Data-Driven Decision-Making, Epidemiology, Continuous Monitoring, Load Balancing, Decision Support Systems, Emerging Technologies, Predictive Modeling, Health Education, Biomedical Engineering, Data Integration
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Model Deployment, AI Security, Data Validation, Responsible AI, Google Cloud Platform
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, AI Enablement, Applied Machine Learning, Model Deployment, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Classification Algorithms, Artificial Intelligence, Dimensionality Reduction, Anomaly Detection, Machine Learning, Data Ethics, Regression Analysis, Probability & Statistics, Image Analysis, Responsible AI, Computer Vision, Embedded Systems, Natural Language Processing, Model Evaluation, Linear Algebra, Machine Learning Algorithms, Applied Machine Learning, Bayesian Statistics
Credit offered
Mastertrack · 6 - 12 Months

University at Buffalo
Skills you'll gain: Data Literacy, Data Ethics, Data-Driven Decision-Making, Analytics, Root Cause Analysis, Lean Methodologies, Six Sigma Methodology, Data Analysis, Operational Efficiency, Operational Excellence, Case Studies, Process Improvement, Quality Management Systems, Data Quality, Data Security, Product Quality (QA/QC), Internet Of Things
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Big Data, Model Deployment, No-Code Development
Beginner · Course · 1 - 3 Months

Pearson
Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks