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.

Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Energy and Utilities, Mathematical Modeling, Differential Equations, Model Optimization, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Plot (Graphics), Graphing, Numerical Analysis, Python Programming, Mathematical Software, Software Visualization, Algebra, Derivatives, Computer Programming
Intermediate · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Statistical Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Numerical Analysis, Computer Programming, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Model Deployment, Google Cloud Platform, Model Training, Keras (Neural Network Library), Exploratory Data Analysis, Business Metrics, Data Preprocessing, Data Pipelines, Data Quality, Model Evaluation, Logistic Regression, Applied Machine Learning, Data Cleansing, Machine Learning Methods, Machine Learning, Machine Learning Software, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, AI Workflows, Cloud Infrastructure, AI literacy, Data Infrastructure, Artificial Intelligence, Large Language Modeling, Model Training, Model Deployment, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months