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.

DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation
Intermediate · Course · 1 - 4 Weeks

Coursera
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
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Feature Engineering, Responsible AI, 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, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing
Intermediate · Specialization · 3 - 6 Months

Skills 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
Intermediate · Course · 1 - 3 Months

Edureka
Skills 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
Intermediate · Specialization · 1 - 3 Months

Skills 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)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication
Intermediate · Course · 1 - 4 Weeks

DeepLearning.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
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills 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
Intermediate · Specialization · 3 - 6 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Multiple 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
Beginner · Specialization · 1 - 3 Months

H2O.ai
Skills you'll gain: Large Language Modeling, Model Evaluation, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, LLM Application, Data Preprocessing, Prompt Engineering, Generative Model Architectures, Training Programs, Data Validation, Data Cleansing, Natural Language Processing, Applied Machine Learning, Transfer Learning, Verification And Validation, Data Quality, AI Workflows
Intermediate · Specialization · 3 - 6 Months