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: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Project Management Software, Technical Communication, Technical Product Management, Performance Metric, Agile Project Management, Data Analysis, Project Management, Analytics, Stakeholder Communications, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling
Beginner · Specialization · 1 - 3 Months

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

University of London
Skills you'll gain: Cryptography, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Infrastructure Security, Public Key Cryptography Standards (PKCS), Authentications, Mobile Security, Data Integrity
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

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

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture
Intermediate · Specialization · 3 - 6 Months