Model Evaluation Courses and Certifications

Credential

CompTIA DataX Study Guide

Master data science from foundational statistics to advanced ML, neural networks, and NLP, with applied exercises preparing you for real-world data challenges and CompTIA DataX certification.

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

Coursera

Evaluate Vision Errors: Identify Failure Patterns

Master systematic error analysis to diagnose computer vision model failures, identify patterns, and improve performance beyond basic accuracy metrics through hands-on workflows.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate & Swap Models in Java ML

Master model evaluation, comparison, and swapping in Java ML applications using metrics like precision, recall, and F1-score for confident real-world deployment decisions.

• Coursera
• 3 hours 40 minutes
• Self-Paced
• Paid Course

Packt Credential

LLMs in Enterprise

Explore the full lifecycle of LLMs in enterprise settings, from foundational concepts to advanced fine-tuning, deployment, and responsible AI practices for building production-grade solutions.

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

EDUCBA

Analyze and Predict Prices Using Regression Techniques

Master regression techniques to analyze datasets, engineer features, handle missing data, and build predictive models for accurate price forecasting in real-world scenarios.

• Coursera
• 5 hours 42 minutes
• Self-Paced
• Paid Course

Coursera

Analyze, Engineer, and Boost AI ROI

Master EDA, feature engineering, and A/B testing to transform AI model results into measurable business ROI and stakeholder-ready insights.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Coursera

Optimize AI: Build & Evaluate Predictive Models

Master building and evaluating predictive models using scikit-learn, cross-validation, and performance metrics like F1 to optimize logistic regression and clustering for retail and credit-risk tasks.

• Coursera
• 1 hour 59 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Predict Card Purchases Using R

Master predictive modeling in R by analyzing customer data, building logistic regression and decision tree models, and evaluating performance to accurately predict card purchase behavior.

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

Packt

Machine Learning Product Management - Strategy to Deployment

Master machine learning product management, from ideation to deployment. Learn to structure ML teams, select algorithms, prepare data, and monitor models in production—no prior technical experience required.

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

Performance measures and validation methods

Master rigorous ML model evaluation using ROC analysis, AUC, C-index, and advanced cross-validation strategies to build reliable, generalizable machine learning workflows.

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

Problem-Dependent Resampling Techniques

Explore problem-dependent resampling techniques, mastering spatial cross-validation, pair-input data evaluation, and permutation testing to build trustworthy machine learning performance estimates.

• Coursera
• 6 hours
• Self-Paced
• Paid Course

Venelin Valkov

Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial

7 ratings

Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

MattVidPro AI

Reflection 70B Controversy - Rethinking AI Model Evaluation

Explores controversy around Reflection 70B model, comparing fine-tuning vs. system prompting, and challenges AI benchmarking methods. Examines performance discrepancies and implications for AI development.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Data Science- Project Management Methodology-CRISP-DM-2026

669 ratings at Udemy

End to End High Level Overview of Data Science & AI projects

• Udemy
• 4 hours 58 minutes
• Self-Paced
• Paid Course

Machine Learning Product Management: A Practical Guide

665 ratings at Udemy

Kick start your career in Machine Learning Product Management with just one course.

• Udemy
• 4 hours 44 minutes
• Self-Paced
• Paid Course