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.

Edge Impulse
Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, Credit Risk, Supervised Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Manipulation
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Dimensionality Reduction, Natural Language Processing, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Databases, Feature Engineering, Python Programming, Supervised Learning, Artificial Intelligence, Unsupervised Learning, Pandas (Python Package), Data Transformation, NumPy
Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms
Mixed · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Natural Language Processing, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning, Unstructured Data, Supervised Learning, Linear Algebra, Probability Distribution
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics
Mixed · Course · 1 - 3 Months