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.

Google Cloud
Skills you'll gain: Performance Tuning, Google Cloud Platform, Performance Testing, Application Performance Management, Cloud Applications, Cloud Computing, Server Side
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Organizational Change, Agentic Workflows, AI Enablement, Generative AI Agents, Workflow Management, Predictive Analytics, Cash Management, Responsible AI, Performance Tuning, Fraud detection, Accounting and Finance Software, Financial Reporting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Security, Microservices, Site Reliability Engineering, Failure Analysis, Distributed Computing, Middleware, Failure Mode And Effects Analysis, Continuous Monitoring, AI Workflows, Performance Tuning, Dependency Analysis, Performance Metric, Performance Analysis, Application Performance Management, System Monitoring, Service Level
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Cloud Deployment, Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Infrastructure as Code (IaC), Performance Testing, Systems Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Princeton University
Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability
Advanced · Course · 3 - 6 Months

Skills you'll gain: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
Advanced · Course · 3 - 6 Months