What you’ll learn
After completing this course, students will be able to:
Design and implement an MLOps infrastructure
Implement machine learning model lifecycle and operations
Design and implement a GenAIOps infrastructure
Implement generative AI quality assurance and observability
Optimize generative AI systems and model performance
Microsoft Azure at Lumify Work
As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level. We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ.
Who is the course for?
This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure. It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.
Course subjects
Operationalise machine learning models (MLOps)
Experiment with Azure Machine Learning
Perform hyperparameter tuning with Azure Machine Learning
Run pipelines in Azure Machine Learning
Trigger Azure Machine Learning jobs with GitHub Actions
Trigger GitHub Actions with feature-based development
Work with environments in GitHub Actions
Deploy a model with GitHub Actions
Operationalise generative AI applications (GenAIOps)
Plan and prepare a GenAIOps solution
Manage prompts for agents in Microsoft Foundry with GitHub
Evaluate and optimise AI agents through structured experiments
Automate AI evaluations with Microsoft Foundry and GitHub Actions
Monitor your generative AI application
Analyse and debug your generative AI app with tracing
Prerequisites
Programming experience with Python or R
Experience developing and training machine learning models
Familiarity with basic Azure Machine Learning concepts
Familiar with fundamental generative AI concepts and services in Azure
FREE E-BOOK: The New Era of Cloud Computing
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Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
