MLOps for Azure Machine Learning Training Course
MLOps (Machine Learning Operations) represents the integration of data science and operational practices to effectively manage the machine learning lifecycle. It enables the automation of machine learning model development and training processes, ensuring consistency and reproducibility.
This instructor-led live training, available online or onsite, is designed for data scientists looking to leverage Azure Machine Learning and Azure DevOps to implement robust MLOps practices.
Upon completing this training, participants will be equipped to:
- Develop reproducible workflows and machine learning models.
- Oversee the entire machine learning lifecycle.
- Monitor and document model version history, assets, and related components.
- Deploy production-grade machine learning models across various environments.
Course Format
- Engaging lectures and interactive discussions.
- Numerous exercises and practical applications.
- Hands-on implementation within a live laboratory setting.
Customization Options
- To arrange a customized training session for this course, please reach out to us.
Course Outline
Introduction
Overview of MLOps
- Understanding MLOps
- MLOps within the Azure Machine Learning architecture
Setting Up the MLOps Environment
- Configuring Azure Machine Learning
Ensuring Model Reproducibility
- Utilizing Azure Machine Learning pipelines
- Connecting Machine Learning processes with pipelines
Containers and Deployment
- Packaging models into containers
- Deploying containers
- Validating models
Automating Operations
- Automating operations using Azure Machine Learning and GitHub
- Retraining and testing models
- Rolling out new models
Governance and Control
- Establishing an audit trail
- Managing and monitoring models
Summary and Conclusion
Requirements
- Prior experience with Azure Machine Learning is required.
Audience
- Data Scientists
Open Training Courses require 5+ participants.
MLOps for Azure Machine Learning Training Course - Booking
MLOps for Azure Machine Learning Training Course - Enquiry
MLOps for Azure Machine Learning - Consultancy Enquiry
Testimonials (2)
That we could do everything in practice by ourselves. That our trainer had extensive knowledge and we could ask him anything and he always had the answer. That I got some skills that are useful for developers.
Julia Gajtkowska - Demant Business Services Poland
Course - Azure DevOps Fundamentals
It was really useful seeing the full pipeline from start to finish, it led to a better understanding of how to use the technology which you wouldn't get by just focusing on a few different parts out of context.
Scott Fisher - Derivco
Course - Kubernetes on Azure (AKS)
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