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: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Modeling, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Evaluation, Time Series Analysis and Forecasting, Forecasting, Model Training, Google Cloud Platform, Predictive Analytics, Predictive Modeling, Big Data, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Cloud Storage
Beginner · Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, Continuous Deployment, DevOps, Debugging, Code Coverage, Test Engineering, Data Pipelines, Test Data
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Supervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation
Beginner · Specialization · 1 - 3 Months