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.

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

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

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

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

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
Intermediate · Specialization · 1 - 3 Months

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Beginner · Specialization · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization
Mixed · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Multilingualism
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
Advanced · Course · 1 - 4 Weeks