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: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months

University of London
Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
Beginner · Course · 1 - 4 Weeks

Macquarie University
Skills you'll gain: Cryptography, Network Security, Encryption, Advanced Encryption Standard (AES), Cybersecurity, Key Management, Security Engineering, Data Integrity, Federated Learning, Security Management
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Data Presentation, SQL, Databases, Dashboard, Data Manipulation, Web Scraping, R Programming
Beginner · Specialization · 3 - 6 Months

Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Model Deployment, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Cloud Deployment, Data Strategy, Machine Learning, Embeddings, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months