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.

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

University of Glasgow
Skills you'll gain: NumPy, Generative AI, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), LLM Application, Deep Learning, Python Programming, Prompt Engineering, Feature Engineering, Operations Research, Dimensionality Reduction, Algorithms, Object Oriented Programming (OOP), Mathematical Modeling, Matplotlib, Data Structures, Unit Testing, Data Visualization, Performance Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Applied Machine Learning, Computational Logic, Machine Learning, Logical Reasoning, Unsupervised Learning, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Problem Solving, Systems Design
★ 5 (10) · Mixed · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Model Optimization, Machine Learning Methods, Model Training, Hugging Face, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.9 (14) · Beginner · Specialization · 1 - 3 Months

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Embedded Systems, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Responsible AI, Model Deployment, Convolutional Neural Networks, Computer Programming
★ 4.8 (771) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Exploratory Data Analysis, Statistical Visualization
★ 4.6 (701) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Unsupervised Learning, Deep Learning, Generative AI, Machine Learning Algorithms, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning Methods, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Tensorflow, Model Training, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Evaluation, Artificial Intelligence, Performance Analysis
★ 4.7 (71) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Methods, Health Informatics, Machine Learning, Deep 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

Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Model Training, Risk Modeling, Data Science, Logistics, Data Analysis, Analytics, Financial Statement Analysis, Supply Chain Management, Data Transformation, Machine Learning, Business
★ 5 (26) · Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms
Intermediate · Course · 1 - 3 Months