Model Evaluation Courses and Certifications

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

Domina la evaluación de modelos de IA generativa y predictiva con Vertex AI, explorando métricas, metodologías y mejores prácticas para garantizar sistemas confiables y de alto rendimiento.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia

Delve into essential tools, techniques, and best practices for evaluating generative and predictive AI models using Vertex AI, focusing on metrics, methodologies, and implementation strategies for reliable ML systems.

• Coursera
• 1 hour 42 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.4 Analyze Model Performance (Japanese)

MLモデルのパフォーマンス分析手法を学び、分類・回帰問題の評価指標、コンバージェンス問題の特定、再現性のある実験方法、SageMakerツールを用いたインサイト獲得について習得します。

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.4 Análise de desempenho de modelo (Português) | AWS ML Engineer Associate 2.4 Analyze Model Performance (Portuguese)

Aprenda técnicas avançadas de avaliação e otimização de modelos de ML, incluindo métricas, depuração e interpretabilidade, utilizando serviços AWS como SageMaker Clarify e Debugger.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Logistic Regression and Prediction for Health Data

Analyze binary outcomes, compare proportions, fit logistic regressions, make predictions, and assess model quality using R. Gain practical skills for health data analysis through lectures and guided coding.

• Coursera
• 11 hours 18 minutes
• Self-Paced
• Paid Course

AI for Medical Prognosis

800 ratings at Coursera

In this course, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis.

• Coursera
• 1 day 5 hours 44 minutes
• Self-Paced
• Paid Course

Securing AI and Advanced Topics

24 ratings at Coursera

Explore AI-based cybersecurity, from fraud detection to adversarial attacks. Gain hands-on experience with GANs, reinforcement learning, and model optimization to address real-world security challenges.

• Coursera
• 15 hours 31 minutes
• Self-Paced
• Paid Course

Quantifying Relationships with Regression Models

23 ratings at Coursera

Explore linear regression for measuring variable relationships. Learn to create, interpret, and evaluate bivariate and multivariate models, including binary dependent and interactive models. Develop skills to critically analyze regression analyses.

• Coursera
• 11 hours 13 minutes
• Self-Paced
• Paid Course

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Introduction to Social Computing

Explore social computing's impact on society. Gain skills in social media analytics, responsible AI, and gamification. Apply machine learning to real-world scenarios and understand online behavior dynamics.

• Coursera
• 20 hours 45 minutes
• Self-Paced
• Paid Course

The Nuts and Bolts of Machine Learning

618 ratings at Coursera

Explore machine learning algorithms, from supervised to unsupervised techniques. Learn to apply models like Naive Bayes, decision trees, and K-means clustering to solve complex data problems and make predictions.

• Coursera
• 1 day 9 hours 53 minutes
• Self-Paced
• Paid Course

Meaningful Predictive Modeling

49 ratings at Coursera

Evaluate and compare predictive models using diagnostic techniques and performance measures. Learn to implement training/validation/test pipelines for robust model generalization.

• Coursera
• 8 hours 33 minutes
• Self-Paced
• Paid Course

Finetuning Large Language Models

618 ratings at Coursera

Learn essential concepts and techniques for finetuning large language models using your own data, enabling you to optimize performance and produce transformative results in natural language processing tasks.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Advanced Deployment Scenarios with TensorFlow

512 ratings at Coursera

Explore advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, TensorBoard, and federated learning to effectively bring machine learning models into real-world applications.

• Coursera
• 12 hours 52 minutes
• Self-Paced
• Paid Course

Credential

Machine Learning Operations (MLOps) on Google Cloud

496 ratings at Coursera

Master MLOps on Google Cloud by exploring the full lifecycle—feature management, model evaluation, automated workflows, and production-grade pipelines using Vertex AI and Kubeflow SDK.

• Coursera
• Self-Paced
• Paid Course
• 4 courses