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: 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, LLM Application, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, Data Integration
Status: NewStatus: PreviewCoursera
Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning
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 TrialSkills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Operational Databases, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Processing, Data Governance, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills 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
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), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
Status: NewStatus: PreviewCoursera
Skills you'll gain: Dashboard, Application Performance Management, System Monitoring, Enterprise Application Management, Performance Tuning, Performance Analysis, Management Reporting, Performance Metric, Anomaly Detection, Real Time Data, Continuous Monitoring, Root Cause Analysis, Operational Performance Management, Business Metrics, Transaction Processing, Key Performance Indicators (KPIs), Data-Driven Decision-Making
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: NewStatus: PreviewSkills you'll gain: Performance Testing, Vector Databases, Performance Tuning, Query Languages, SQL, Application Performance Management, Benchmarking, System Monitoring, Secure Coding
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
- Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
- MCP - Model Content Protocol: Coursera
- Machine Learning: DeepLearning.AI
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
- Level Up: Java-Powered Machine Learning: Coursera
- Generative AI Engineering with LLMs: IBM
- AppDynamics (Advanced): Coursera
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
