Machine Learning Models Courses and Certifications

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 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

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

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

Train models in Azure Machine Learning with the CLI (v2)

Train models in Azure Machine Learning with the CLI (v2)

• Microsoft Learn
• 2 hours 56 minutes
• Self-Paced
• Free Online Course

Intro to Testing Machine Learning Models

Explore techniques for testing ML models, including adversarial attacks, behavioral testing, and fairness considerations. Gain insights into the tester's role in ML development and production deployment.

• Test Automation University
• 1 hour 26 minutes
• Self-Paced
• Free Online Course

Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning

Learn to create custom object detection models using Azure Machine Learning and NVIDIA. Covers workspace setup, data labeling, AutoML training, and deployment to NVIDIA Triton Inference Server for efficient GPU-accelerated inference.

• Microsoft Learn
• 2 hours 25 minutes
• Self-Paced
• Free Online Course

Create machine learning models with R and tidymodels

Explore data analysis, regression, classification, and clustering using R and tidymodels. Learn to train, evaluate, and optimize machine learning models for various applications.

• Microsoft Learn
• 5 hours
• Self-Paced
• Free Online Course

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

Operationalize machine learning models (MLOps)

Learn end-to-end MLOps with Azure Machine Learning, covering job automation, GitHub Actions integration, feature-based development, code quality checks, environment management, and model deployment to managed endpoints.

• Microsoft Learn
• 4 hours 51 minutes
• Self-Paced
• Free Online Course

Work with generative artificial intelligence (AI) models in Azure Machine Learning

Explore and fine-tune large language models using Azure Machine Learning. Learn about NLP history, Transformer architecture, and hands-on deployment of foundation models for practical AI applications.

• Microsoft Learn
• 54 minutes
• Self-Paced
• Free Online Course

Manage and review models in Azure Machine Learning

Learn to log and register models with MLflow, and create and evaluate Responsible AI dashboards in Azure Machine Learning using Python SDK v2.

• Microsoft Learn
• 1 hour 22 minutes
• Self-Paced
• Free Online Course

Train compute-intensive models with Azure Machine Learning

Learn to efficiently preprocess data, train compute-intensive models, and deploy deep learning workloads using Azure Machine Learning, focusing on GPU optimization and distributed training.

• Microsoft Learn
• 1 hour 41 minutes
• Self-Paced
• Free Online Course

Amazon Web Services;  Amazon

Lab - Build Machine Learning Models with Amazon SageMaker

Learn to build and deploy machine learning models using Amazon SageMaker's interface, from environment setup to running linear regression with Python and scikit-learn.

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