Hyperparameter tuning courses can help you learn techniques for optimizing model performance, understanding overfitting and underfitting, and applying cross-validation methods. You can build skills in parameter selection, grid search, and random search strategies to enhance your machine learning projects. Many courses introduce tools like Scikit-learn, TensorFlow, and Keras, showing how to implement these tuning techniques effectively in artificial intelligence and AI applications.

University of Colorado Boulder
Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Systems, Electronics, Electrical Systems, Computer-Aided Design, Technical Design, Control Systems, Simulation and Simulation Software, Design Specifications, Design Strategies
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution, Linear Algebra, Calculus
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Electronics, Communication Systems, Digital Communications, Serial Peripheral Interface, Electronic Components, Hardware Troubleshooting, Computer Hardware, Hardware Architecture, Debugging
Mixed · Course · 1 - 4 Weeks

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

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Email Marketing, Generative AI Agents, Persona Development, AI Personalization, ChatGPT, Customer Insights, Target Audience, Marketing Automation, Content Creation
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Regression Analysis, Data Cleansing, Analytics, Data Analysis, Machine Learning, R Programming, Data Science, R (Software), Statistical Modeling, Data Manipulation, Statistical Methods, Data Mining, Data Validation, Feature Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus
Advanced · Course · 1 - 4 Weeks