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.

Skills you'll gain: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Scenario Testing, Memory Management, System Monitoring, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
Beginner · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Fine-tuning, CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Model Training, Transfer Learning, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Model Optimization, Data Pipelines, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration
★ 4.5 (62) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Performance Tuning, PySpark, Service Level, Resource Allocation, Process Optimization, Scalability, Performance Analysis, Memory Management, Job Analysis, Debugging, System Configuration
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Fraud detection, Decision Intelligence, Jupyter, Model Optimization, Responsible AI, Model Evaluation, Performance Improvement, AI literacy, Risk Modeling, Performance Metric, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Model Optimization, Tensorflow, Deep Learning, Performance Tuning, Model Deployment, Python Programming
★ 4.5 (77) · Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Continuous Monitoring, AI Integrations, Performance Tuning, Anomaly Detection, Data Mapping, Dependency Analysis
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Optimization, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, AI Product Strategy, Transfer Learning, Model Training, Applied Machine Learning, AI Personalization, Model Evaluation, Performance Tuning, Model Based Systems Engineering, Memory Management, Program Evaluation, Analysis, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard Creation, System Monitoring, Dashboard, Application Performance Management, Continuous Monitoring, Event Monitoring, Performance Tuning, Service Level, Generative AI, Business Metrics, Service Level Agreement, Incident Management, Correlation Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Image Analysis, Fine-tuning, Computer Vision, Model Evaluation, Model Training, Model Optimization, Model Deployment, Performance Metric, Data Pipelines, Quality Assessment, Quality Assurance, Performance Measurement, Data Quality, Applied Machine Learning, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling
Intermediate · Course · 3 - 6 Months