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: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging
★ 4.9 (64K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Deep Learning, Python Programming, Performance Tuning, Machine Learning
★ 4.6 (71) · Intermediate · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Performance Tuning, Generative AI Agents, Model Optimization, Generative AI, Prompt Engineering, Agentic Workflows, A/B Testing, Performance Testing, Application Performance Management, Agentic systems, Amazon CloudWatch, Amazon Web Services, API Gateway, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Software Development, Serverless Computing, Natural Language Processing, Cloud Computing, Machine Learning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Fine-tuning, Large Language Modeling, Generative Model Architectures, Model Optimization, Prompt Engineering, Model Training, PyTorch (Machine Learning Library)
★ 4.5 (120) · Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Image Analysis, Large Language Modeling, Natural Language Processing, Python Programming
★ 4.7 (7) · Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Generative AI, Reinforcement Learning, Large Language Modeling, Generative Model Architectures, Machine Learning Methods, Model Optimization, Model Training, Model Evaluation
★ 4.4 (138) · Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Fine-tuning, Model Training, Machine Learning Methods, Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, AI Orchestration, PyTorch (Machine Learning Library), Feature Engineering
★ 4.7 (6) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Model Deployment, Machine Learning Methods, Model Evaluation, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Model Training, Model Optimization, Predictive Modeling, Decision Tree Learning, Python Programming, Artificial Neural Networks, Feature Engineering, Data Science, Web Services
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Machine Learning Algorithms, Fine-tuning, Classification Algorithms
Intermediate · Specialization · 1 - 3 Months
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