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.

Coursera
Skills you'll gain: Model Training, Regression Analysis, NumPy, Machine Learning Algorithms, Machine Learning, Model Optimization, Deep Learning, Data Science, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: AI literacy, Product Planning, Generative AI, Artificial Intelligence, AI Personalization, Google Workspace
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Learning Strategies, Learning Theory, Human Learning, Quick Learning, Self-Motivation, Lifelong Learning, Literacy, Mental Concentration, Cognitive flexibility, Critical Thinking, Personal Development, Motivational Skills, Self-Awareness
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Tensorflow, Convolutional Neural Networks, Applied Machine Learning, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

University of Minnesota
Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Multimodal Prompts, Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, AI literacy, Context Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Financial Statement Analysis, Financial Statements, Microsoft Excel, Financial Modeling, Excel Formulas, Financial Analysis, Pivot Tables And Charts, Working Capital, Financial Accounting, Business Valuation, Balance Sheet, Equities, Financial Reporting, Business Reporting, Spreadsheet Software, Accounting, Data Visualization, Capital Expenditure, Finance, Corporate Finance
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Agentic Workflows, AI Orchestration, Model Context Protocol, Generative AI Agents, Agentic systems, Context Engineering, Prompt Engineering, LLM Application, LangChain, ChatGPT, Tool Calling, AI Integrations, Retrieval-Augmented Generation, Context Management, Software Architecture, Deep Learning, Interoperability, Software Design Patterns
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Anomaly Detection, Unit Testing, Test Script Development, Data Pipelines, Test Automation, Code Coverage, Real Time Data, Data Processing, Data Cleansing, Data Integrity, Extract, Transform, Load, Data Transformation, Data Persistence, Performance Testing, Data Validation, Data Science, Python Programming, Machine Learning, Algorithms, SQL
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Spreadsheet Software, Business Reporting, Data Visualization, Interactive Data Visualization, Excel Macros, Data Presentation, Dashboard, Forecasting, Management Reporting, Analytics, Advanced Analytics, Data Analysis, Data Visualization Software, Business Analytics, Data Validation, Analysis, Data Entry
Beginner · Specialization · 1 - 3 Months