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.

Pragmatic AI Labs
Skills you'll gain: Fine-tuning, Hugging Face, Model Training, Large Language Modeling, Transfer Learning, Rust (Programming Language), Data Validation, Model Optimization, Model Deployment, Generative AI, Verification And Validation, System Requirements, Model Evaluation, Generative Model Architectures, Hardware Architecture, Data Quality, Data Compilation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
★ 4.6 (212) · Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Optimization, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, AI Product Strategy, Transfer Learning, Model Training, Applied Machine Learning, AI Personalization, Model Evaluation, Performance Tuning, Model Based Systems Engineering, Memory Management, Program Evaluation, Analysis, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Model Optimization, Tensorflow, Deep Learning, Performance Tuning, Model Deployment, Python Programming
★ 4.5 (77) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, OpenAI API, Fine-tuning, Model Training, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Processing, LLM Application, Data Manipulation, Generative AI, Python Programming, Customer Analysis, Machine Learning, Customer Complaint Resolution
★ 4.1 (12) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Real-Time Operating Systems, Embedded Software, Embedded Systems, Telecommunications, Digital Signal Processing, Communication Systems, Performance Tuning, Digital Communications, System Programming, Debugging, Network Performance Management, Fine-tuning, C (Programming Language), Real Time Data, Systems Design, Software Architecture
Advanced · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, Model Training, MLOps (Machine Learning Operations), Fine-tuning, Model Evaluation, Version Control, Supervised Learning
★ 3.9 (36) · Beginner · Project · Less Than 2 Hours
Skills you'll gain: Token Optimization, LLM Application, Model Optimization, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Prompt Patterns, A/B Testing, Retrieval-Augmented Generation, Model Evaluation, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Tuning, System Monitoring, Data Lakes, Transact-SQL, Data Analysis Expressions (DAX), Star Schema, Microsoft Azure, Databricks, Real Time Data, Power BI, Data Warehousing, Data Storage, Analytics, Apache Spark, Data Modeling, Model Optimization, PySpark, Data Pipelines, Data Transformation, Dataflow
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Continuous Monitoring, AI Integrations, Performance Tuning, Anomaly Detection, Machine Learning, Dependency Analysis
Beginner · Course · 1 - 4 Weeks