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: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy
Intermediate · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning
Intermediate · 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

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks