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, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Preprocessing, Data Strategy, Supervised Learning, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
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: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, 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

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

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Pipelines, Data Strategy, Supervised Learning, Model Deployment, Machine Learning Algorithms, Model Evaluation, Performance Tuning, Data Transformation, MLOps (Machine Learning Operations), Embeddings
Intermediate · Specialization · 3 - 6 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: 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