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: 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 Storytelling, SQL, Data Engineering, Data Presentation, Key Performance Indicators (KPIs), Star Schema, Dashboard, Data Modeling, Data Quality, Business Analytics, Database Design, Data Mart, Business Intelligence, Data Validation, Analytics, YAML, Data Pipelines, Data Transformation, Performance Tuning, Analysis
Status: NewStatus: Free TrialSkills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration
Status: Free TrialSkills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Azure Synapse Analytics, Performance Tuning, System Monitoring, Data Lakes, Transact-SQL, Data Analysis Expressions (DAX), Star Schema, Microsoft Azure, Real Time Data, Power BI, Data Warehousing, Analytics, Apache Spark, Data Modeling, SQL Server Integration Services (SSIS), PySpark, Data Pipelines, Data Transformation, Debugging
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
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: 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: NewStatus: Free TrialSkills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, Power BI, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Scalability, Data Processing, Data Governance, Event-Driven Programming, System Monitoring, Docker (Software)
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
Status: NewStatus: Free TrialCoursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms
Searches related to hyperparameter tuning
In summary, here are 10 of our most popular hyperparameter tuning courses
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
- LLM Optimization & Evaluation: Coursera
- Analytics Engineering with dbt: Edureka
- Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
- Generative AI Engineering with LLMs: IBM
- Microsoft Fabric: Monitor and Optimize an Analytics Solution: Whizlabs
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- Machine Learning: DeepLearning.AI
- Deep Learning: DeepLearning.AI
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
