"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Mariella gave us some best practice ideas and tips to take away. Brian Leek, Data Analyst, May 2024
Understand core machine learning principles and terminology
Explore common ML workflows and model types
Learn how models are trained, evaluated, and deployed
Navigate the Azure Machine Learning workspace
Understand compute targets, environments, and resources
Learn how Azure ML supports the full ML lifecycle
Build and train models using Azure Machine Learning
Work with datasets, features, and labels
Evaluate model performance and accuracy
Track experiments, metrics, and model versions with MLflow
Automate model selection and training with AutoML
Manage model lifecycle and reproducibility
Configure and use compute clusters for training
Manage environments and dependencies for consistent results
Optimise resources for efficient model training
Perform hyperparameter optimisation to improve model performance
Use automated and manual tuning techniques
Evaluate results and select the best model configuration
Design and execute machine learning pipelines
Automate workflows for data preparation, training, and evaluation
Monitor pipeline execution and results
Deploy trained models to a managed online endpoint for real-time scoring
Deploy models to a batch endpoint for large-scale predictions
Monitor and manage deployed models
This course is designed for:
Data scientists and machine learning engineers looking to deploy models in Azure
Developers working with cloud-based AI and ML platforms
Data engineers managing ML workflows and pipelines
IT professionals supporting ML deployment and monitoring
Anyone looking to build, train, and deploy machine learning models using Azure Machine Learning
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Mariella gave us some best practice ideas and tips to take away. Brian Leek, Data Analyst, May 2024
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Mariella was excellent & contents were very impressive” Brian F, Team Lead, RBS, Data Analysis , 20 April 2024
Sign up for the JBI Training newsletter to receive technology tips directly from our instructors - Analytics, AI, ML, DevOps, Web, Backend and Security.
This course is targeted to data scientist, data analysts and other data professionals who want acquire an understanding of the basic concepts of Machine Learning and explore its capabilities, , by means of examples and exercises on Azure Machine Learning.
Pre-requisites:
No previous Machine Learning experience is required, but some exposure to the main concepts of data analysis can be beneficial. While the examples provided will be in Python, no previous experience with this language is required, although this too can be beneficial.
Course Overview:
This course is focused on Machine Learning as set of techniques and strategies to training and deploy custom AI models for task such a binary classification, multi-class classification and regression. Participants will not only learn the basic concepts of Machine Learning, but also how to apply them to the training, evaluation and deployment of models on Azure Machine Learning.
1. What is Microsoft Copilot 365?
Microsoft Copilot 365 is an AI-powered tool integrated into Microsoft 365 apps like Word, Excel, and Outlook, designed to enhance productivity by automating tasks and providing real-time insights.
2. Who should take this course?
This course is ideal for professionals looking to leverage AI to streamline their daily tasks and improve efficiency within Microsoft 365 applications.
3. Do I need any prior knowledge before taking this course?
Basic familiarity with Microsoft 365 apps is recommended, but no advanced knowledge is required as the course will cover all necessary aspects of using Copilot 365.
4. What will I learn in this course?
You will learn how to use Microsoft Copilot 365's AI features to automate tasks, generate content, and gain real-time insights, enhancing your productivity across various Microsoft 365 apps.
5. How is the course delivered?
This instructor-led course includes hands-on exercises, and practical applications to ensure comprehensive learning and skill development.
6. Can I access course materials after completion?
Yes, you will have access to all course materials for future reference and continued learning.
CONTACT
+44 (0)20 8446 7555
Copyright © 2025 JBI Training. All Rights Reserved.
JB International Training Ltd - Company Registration Number: 08458005
Registered Address: Wohl Enterprise Hub, 2B Redbourne Avenue, London, N3 2BS
Modern Slavery Statement & Corporate Policies | Terms & Conditions | Contact Us
POPULAR
AI training courses CoPilot training course
Threat modelling training course Python for data analysts training course
Power BI training course Machine Learning training course
Spring Boot Microservices training course Terraform training course
