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: Jupyter, Microservices, AWS SageMaker, Command-Line Interface, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Test Automation, Algorithms, Software Installation
★ 4.4 (43) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Applied Machine Learning, Machine Learning
★ 4.2 (25) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Hugging Face, LLM Application, Generative AI, Embeddings, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Image Analysis, User Interface (UI), API Design, Fine-tuning, Computer Vision
★ 4.8 (159) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Technical Management, Decision Intelligence, AI Product Strategy, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Model Optimization, Test Data
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics
★ 5 (7) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Reinforcement Learning, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Quantum computing, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Model Optimization, Artificial Neural Networks, Algorithms, Python Programming
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Model Training, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data-Driven Marketing, Predictive Modeling, Data Preprocessing, Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Embeddings
★ 3.1 (14) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Network Architecture
Intermediate · Course · 1 - 3 Months
University of Glasgow
Skills you'll gain: Deep Learning, Predictive Modeling, Health Informatics, Clinical Data Management, Applied Machine Learning, Model Evaluation, Logistic Regression, Data Preprocessing, Data Processing, Recurrent Neural Networks (RNNs)
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, Hugging Face, Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Agentic Workflows, Data Preprocessing, Generative AI Agents, Model Training, Large Language Modeling, Image Analysis, Rust (Programming Language), Model Optimization, AI Orchestration
Beginner · Specialization · 3 - 6 Months