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: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Tuning, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Business Metrics, Analysis, Service Level Agreement, Distributed Computing, Incident Management, Real Time Data, Data Integration
Intermediate · Course · 1 - 4 Weeks

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
Multiple educators
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation
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: Proposal Writing, Performance Tuning, Agentic systems, Computational Thinking, Performance Analysis, Computational Logic
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Model Evaluation, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Root Cause Analysis, Performance Metric, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Tuning, No-Code Development, Business Process Automation, Operational Analysis, Automation, Performance Analysis, Process Improvement and Optimization, System Monitoring, Business Workflow Analysis, Process Optimization, Operational Efficiency, Maintainability, Workflow Management, Project Performance, Scalability, Analysis, Solution Architecture, Data-Driven Decision-Making, Strategic Decision-Making, System Implementation
Intermediate · Course · 1 - 4 Weeks

Skills 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), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Cloud Deployment, Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Infrastructure as Code (IaC), Performance Testing, Systems Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks