Hyperparameter Optimization Courses and Certifications

Coursera

ML Parameters Optimization: GridSearch, Bayesian, Random

Optimize ML regression models using grid search, random search, and Bayesian optimization techniques for fine-tuning hyperparameters and improving model performance on datasets.

• Coursera
• 1 hour 56 minutes
• On-Demand
• Paid Course

Coursera Microcredential

ML Production Systems

Master containerization, deployment, and MLOps practices to transform ML models into scalable production systems using Docker, Kubernetes, and automated pipelines.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

H2O.ai

H2O Hydrogen Torch Starter Course

Master deep learning without coding - build computer vision, NLP, and audio models using H2O Hydrogen Torch. Learn dataset handling, model tuning, and real-world applications through hands-on experimentation.

• Coursera
• 2 hours 17 minutes
• On-Demand
• Paid Course

Coursera

Automate, Evaluate and Deploy ML Models Confidently

Master production-grade MLOps by building automated CI/CD pipelines with GitHub Actions, analyzing Optuna trials, and implementing validation gates for confident model deployment.

• Coursera
• 2 hours 49 minutes
• On-Demand
• Paid Course

Coursera

Fine-tuning Text Models with PEFT

Master parameter-efficient fine-tuning techniques like LoRA and QLoRA to adapt large language models on consumer hardware with optimized hyperparameters and evaluation metrics.

• Coursera
• 9 hours 52 minutes
• On-Demand
• Paid Course

Coursera

Automate, Optimize, and Monitor ML Models

Master MLOps skills to detect model drift, implement automated retraining workflows, and create optimized pipelines that maintain performance at scale.

• Coursera
• 1 hour 31 minutes
• On-Demand
• Paid Course

Edureka

Getting Started with Automated Machine Learning (AutoML)

Master automated machine learning with H2O AutoML to build, evaluate, and deploy ML models efficiently without manual trial-and-error approaches.

• Coursera
• 10 hours 35 minutes
• On-Demand
• Paid Course

Python: Working with Predictive Analytics

615 ratings at LinkedIn Learning

Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

AutoML Seminars

Open Source Vizier: Distributed Infrastructure for Blackbox Optimization and Hyperparameter Tuning

Explore Google's Vizier system for blackbox optimization and hyperparameter tuning, covering its distributed infrastructure, Python implementation, and integration with AutoML ecosystem.

• YouTube
• 42 minutes
• On-Demand
• Free Video

AutoML Seminars

Gradient Descent: The Ultimate Optimizer - Automating Hyperparameter Optimization

Discover how to automatically optimize hyperparameters in gradient-based ML algorithms through an elegant modification to backpropagation, making optimizer tuning more efficient and less sensitive to initial choices.

• YouTube
• 30 minutes
• On-Demand
• Free Video

AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling

43 ratings at LinkedIn Learning

Learn about modeling, the process of choosing and training the right machine-learning model, to prepare for the AWS Certified Machine Learning – Specialty (MLS-C01) certification.

• LinkedIn Learning
• 33 minutes
• On-Demand
• Free Trial Available

Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 2 Run Experiments and Train Models

24 ratings at LinkedIn Learning

Prepare for the second domain of the Microsoft Azure Data Scientist Associate (DP-100) exam.

• LinkedIn Learning
• 32 minutes
• On-Demand
• Free Trial Available

Data Science with Scala

Learn to leverage Apache Spark™ with Scala for Big Data analytics, including machine learning pipelines and hyperparameter optimization in a cluster environment.

• Cognitive Class
• 6 hours
• On-Demand
• Free Online Course

Amazon Web Services;  Amazon

[RETIRING] Exam Readiness: AWS Certified Machine Learning - Specialty (MLS-C01)

Prepare for the AWS Certified Machine Learning - Specialty exam by exploring data engineering, exploratory analysis, modeling, and ML implementation domains with practice questions and test-taking strategies.

• AWS Skill Builder
• 4 hours
• On-Demand
• Free Certificate

Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter Transfer

1 review

Discover how to tune GPT-3 hyperparameters efficiently on a single GPU using µTransfer, a technique based on the maximal update parametrization that enables optimization of large language models with minimal resources.

• YouTube
• 54 minutes
• On-Demand
• Free Video