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: 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

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: 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: 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: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Model Deployment, AI Workflows, Cloud Infrastructure, Data Preprocessing, Machine Learning, Feature Engineering, Natural Language Processing, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Data Processing, Data Management, Data Storage Technologies, Data Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Applied Behavior Analysis
Beginner · Course · 1 - 4 Weeks

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

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

Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Cloud Deployment, Jupyter, Machine Learning, Artificial Intelligence, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Applied Machine Learning, Big Data, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Predictive Modeling
Intermediate · Course · 1 - 3 Months