TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL
DURATION
AVAILABLE DATES
Choose date
R3 400,00
Price excluding VAT
Introduction
To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
Pre-requisites
None
Course content
Module 1: Make data available in Azure Machine Learning |
Learn about how to connect to data from the Azure Machine Learning workspace. You’re introduced to datastores and data assets.
Lessons: |
|
By the end of this module, you’ll be able to: |
|
Module 2: Work with compute targets in Azure Machine Learning |
Learn how to work with compute targets in Azure Machine Learning. Compute targets allow you to run your machine learning workloads. Explore how and when you can use a compute instance or compute cluster.
Lessons: |
|
By the end of this module, you’ll be able to: |
|
Module 3: Work with environments in Azure Machine Learning |
Learn how to use environments in Azure Machine Learning to run scripts on any compute target.
Lessons: |
|
By the end of this module, you’ll be able to: |
|
Module 4: Run a training script as a command job in Azure Machine Learning |
Learn how to convert your code to a script and run it as a command job in Azure Machine Learning.
Lesson: |
|
By the end of this module, you’ll be able to: |
|
Module 5: Track model training with MLflow in jobs |
Learn how to track model training with MLflow in jobs when running scripts.
Lesson: |
|
By the end of this module, you’ll be able to: |
|
Module 6: Register an MLflow model in Azure Machine Learning |
Learn how to log and register an MLflow model in Azure Machine Learning.
Lesson: |
|
In this module, you’ll practice how to: |
|
Module 7: Deploy a model to a managed online endpoint |
Learn how to deploy models to a managed online endpoint for real-time inferencing
Lesson: |
|
In this module, you’ll practice how to: |
|
Associated certifications and exam
There is no Associated certification & Exam for this course, however, there is an assessment to achieve your Applied Skills credential. (Assessment Link)
Microsoft Overview
Skilled Microsoft engineers add significant value to the marketplace by reducing the cost of technology solutions whilst improving efficiency and fuelling innovation. Through authorized Microsoft training, Torque IT empowers engineers, developers and end-users to realise their full potential by providing them with the necessary knowledge and skills to optimise the adoption and use of Microsoft solutions.
Torque IT considers authorised Microsoft training to be an integral part of any Microsoft implementation. Microsoft authorised training, and associated certification, ensures that you get the most from your technology investment and that you are able to operate above the technology curve. Microsoft career certifications are universally recognised as demonstrating a high level of expertise and credibility for individuals and the organisations that employ them.
Authorized Microsoft training and certification is the industry standard for any solution that includes designing, selling, implementing, upgrading, managing, and operating Microsoft solutions.
For 19 years, Torque IT has maintained the status of Gold Learning Partner for Microsoft in South Africa. This is the highest level of accreditation that Microsoft awards to Learning Partners that specialize in technical, product, sales, development, end-user and solutions training.
These achievements reflect our commitment to providing our customers with quality skills development, enablement, training, and certification solutions that demonstrate exceptional depth, breadth, and expertise across Windows Server, Windows Client, Microsoft Virtualization, Microsoft Azure, Office 365, Exchange Server, SharePoint Server, Skype for Business, System Centre Server, Visual Studio and Microsoft Office technologies.
Torque is recognized by Microsoft, and the industry, as having met rigorous standards for educational competency, service, customer satisfaction and investment in Microsoft technologies that will prepare the next generation of IT industry professionals.