Hyperparameter Tuning Courses
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.
Popular Hyperparameter Tuning Courses and Certifications
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Status: Free TrialGoogle Cloud
Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, AI Enablement, Prompt Engineering, Cloud Deployment, AI Workflows, Cloud Computing
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Status: NewStatus: Free TrialSkills you'll gain: Data Analysis Expressions (DAX), Power BI, Performance Tuning, Performance Analysis, Microsoft Excel, Time Series Analysis and Forecasting, Microsoft Copilot, Business Intelligence, Data Modeling, Data Manipulation, Business Metrics, Interactive Data Visualization
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
Status: NewStatus: PreviewWhizlabs
Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing
Status: NewStatus: Free TrialCoursera
Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Model Evaluation, Applied Machine Learning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Performance Tuning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation, Algorithms
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
Status: NewStatus: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning
In summary, here are 10 of our most popular hyperparameter tuning courses
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
- Deep Learning: DeepLearning.AI
- Machine Learning on Google Cloud: Google Cloud
- Machine Learning: DeepLearning.AI
- LLM Optimization & Evaluation: Coursera
- Advanced DAX and Performance Optimization: Microsoft
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- Fundamentals of Machine Learning: Whizlabs
- Systematic ML Optimization: Coursera
- R Programming: Johns Hopkins University
