Machine Learning Models Courses and Certifications

Coursera

MLOps in R: Deploying machine learning models using vetiver

Learn to deploy machine learning models efficiently using Vetiver in R. Build ensemble models, set up deployment frameworks, and monitor performance through a hospital readmission scenario.

• Coursera
• 2 hours 39 minutes
• Self-Paced
• Paid Course

Coursera

Building, Optimizing, and Validating Machine Learning Models

Master building, optimizing, and validating ML models using hyperparameter tuning, cross-validation, SHAP explanations, and automated pipelines for efficient, reproducible workflows.

• Coursera
• 12 hours 9 minutes
• Self-Paced
• Paid Course

Packt

NLP – Machine Learning Models in Python

Master natural language processing with Python through practical applications in spam detection, sentiment analysis, text summarization, and topic modeling using algorithms like Naive Bayes, logistic regression, TextRank, and LDA.

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

Managing Machine Learning Models

Master model lifecycle management from creation to deployment, including governance, testing, monitoring, and automated scoring across SAS, Python, and R environments.

• Coursera
• 8 hours 34 minutes
• Self-Paced
• Paid Course

Coursera

Training, Evaluating, and Monitoring Machine Learning Models

Master the full ML lifecycle—train models with mini-batch strategies, evaluate performance metrics, diagnose errors, and monitor production drift with A/B testing and retraining workflows.

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

Hacking AI - Security & Privacy of Machine Learning Models

Explore adversarial machine learning with Prof. Dan Boneh, examining security challenges in AI models, defenses against attacks, and the balance between accuracy and privacy in ML systems.

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

Machine Learning in R & Predictive Models | 3 Courses in 1

238 ratings at Udemy

Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory

• Udemy
• 7 hours 36 minutes
• Self-Paced
• Paid Course

Gradio Course - Create User Interfaces for Machine Learning Models

1 rating

Learn to create user interfaces for machine learning models using Gradio, covering components, inputs, debugging, UI/UX improvement, sharing, and deployment on Hugging Face Spaces.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Deploy and consume models with Azure Machine Learning

Learn to deploy and consume machine learning models using Azure, covering managed online endpoints for real-time inferencing and batch endpoints for large-scale processing with the Python SDK v2.

• Microsoft Learn
• 1 hour 29 minutes
• Self-Paced
• Free Online Course

Train models with scripts in Azure Machine Learning

Learn to run training scripts, track metrics with MLflow, and perform hyperparameter tuning in Azure Machine Learning. Gain hands-on experience with command jobs, MLflow integration, and sweep jobs for efficient model development.

• Microsoft Learn
• 1 hour 57 minutes
• Self-Paced
• Free Online Course

Create machine learning models

Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

• Microsoft Learn
• 6 hours 19 minutes
• Self-Paced
• Free Online Course

Master classification models using Python Machine Learning Client for SAP HANA to predict employee churn through hands-on workflow from feature extraction to evaluation.

• SAP Learning
• 1 hour 46 minutes
• Self-Paced
• Free Online Course

Master machine learning in SAP HANA using Python client libraries for regression, classification, and time series analysis with PAL and APL frameworks.

• SAP Learning
• 40 minutes
• Self-Paced
• Free Online Course

Master time series forecasting using SAP HANA's Python ML client through hands-on overnight stays prediction, covering univariate and multivariate models with data preparation.

• SAP Learning
• 1 hour 10 minutes
• Self-Paced
• Free Online Course

Master regression modeling using Python's hana-ml client for SAP HANA, from feature extraction to model evaluation with the California housing dataset scenario.

• SAP Learning
• 1 hour 45 minutes
• Self-Paced
• Free Online Course