"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
• Introduction to basic Machine Learning concepts.
• Explore Databricks
• Train a machine learning module in Databricks
• Use MLflow in Databricks
• Train deep learning models in Azure Databricks
• Manage machine learning in production with Databricks
Understand the fundamentals of machine learning
Explore key terminology, model types, and workflows
Learn how models are trained, validated, and evaluated
Navigate the Databricks workspace and tools
Understand clusters, notebooks, and data management
Learn how Databricks supports end-to-end ML development
Build and train machine learning models within Databricks
Work with datasets and features to optimise model performance
Evaluate results and refine models for better accuracy
Track experiments and model metrics with MLflow
Manage model versions and lifecycle efficiently
Compare models and maintain reproducibility in development
Develop deep learning models using Azure Databricks
Apply popular frameworks for neural networks
Scale training workloads efficiently in the cloud
Deploy models into production environments
Monitor performance, versioning, and usage
Apply best practices for operationalising machine learning
This course is designed for:
Data scientists and machine learning engineers deploying models to production
Developers working with Databricks and Azure-based data platforms
Data engineers supporting machine learning workflows
Technical professionals looking to operationalise machine learning models
Teams responsible for managing, monitoring, and scaling ML solutions
"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
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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 Databricks.
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 Databricks (running on the Azure platform, but all the examples will be valid for other platforms too).
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.
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