Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Statistics, Statistical Visualization, Probability, Predictive Modeling, Statistical Analysis, Computer Programming, Data Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Model Training, Artificial Neural Networks, Convolutional Neural Networks, Model Optimization, Data Processing, Network Model, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Vanderbilt University
Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Machine Learning Algorithms, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, AI literacy, Machine Learning, Artificial Neural Networks, Deep Learning, Model Training
Beginner · Course · 1 - 3 Months
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Statistical Modeling, Machine Learning Algorithms, Performance Testing, Machine Learning, Data Validation, Statistics, Predictive Modeling, Analysis, Statistical Analysis, Correlation Analysis, Data Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Unsupervised Learning, Model Training, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks
Intermediate · Specialization · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
Build toward a degree
Beginner · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems
Beginner · Course · 1 - 4 Weeks