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 Training, Analytics, MLOps (Machine Learning Operations), Applied Machine Learning, Google Cloud Platform, Data Analysis, Model Deployment, Machine Learning Methods, Query Languages
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving
Intermediate · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Marketing, Customer Insights, Personalized Campaigns, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Data Visualization, Graphing, Scripting Languages, Data Visualization Software, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Methods, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Code Reusability, Python Programming, Data Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Model Training, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Import/Export, Applied Machine Learning, Data Visualization Software, Machine Learning, Risk Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, AI Workflows, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Quality
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Generative Model Architectures, Data Ethics, Model Training, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, AI Security, Machine Learning, AI powered creativity, Applied Machine Learning, Artificial Intelligence, Supervised Learning, AI literacy, LLM Application, Artificial Neural Networks, Unsupervised Learning, Deep Learning
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Intermediate · Course · 1 - 3 Months