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.

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

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

Amazon Web Services
Skills you'll gain: Retrieval-Augmented Generation, Performance Tuning, Generative AI Agents, Model Optimization, Vector Databases, Generative AI, Prompt Engineering, Agentic Workflows, A/B Testing, Performance Testing, 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, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, 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: Model Training, Prompt Engineering, Hugging Face, Large Language Modeling, Supervised Learning, Generative AI, Data Cleansing, Deep Learning, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Quality, Python Programming
Intermediate · Course · 1 - 4 Weeks

EDUCBA
Skills you'll gain: Operational Risk, Model Evaluation, Credit Risk, Exploratory Data Analysis, Lending and Underwriting, Data Preprocessing, Commercial Lending, Risk Control, Risk Management, Risk Modeling, Banking, Analysis, Financial Statements, Financial Controls, Financial Market, Logistic Regression, Analytics, Cash Flows, Working Capital, Research
★ 5 (43) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Containerization, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Token Optimization, Generative Model Architectures, Machine Learning Methods, Generative AI, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms
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 (118) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Performance Tuning, Service Level, Application Performance Management, Problem Management, Verification And Validation, Oracle Databases, Regression Testing, Performance Analysis, Performance Improvement, Change Control, Performance Measurement, Fine-tuning, System Configuration, Incident Management, Transaction Processing, Enterprise Application Management, Client Support, Systems Analysis, SQL, IT Management
Intermediate · Course · 1 - 4 Weeks
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