Highlights
- 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
- This course supports preparation for Microsoft exams DP-100 and DP-203, covering data engineering and machine learning on Azure.
Course Details
Introduction to Machine Learning Concepts
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Understand the fundamentals of machine learning
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Explore key terminology, model types, and workflows
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Learn how models are trained, validated, and evaluated
Exploring Databricks
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Navigate the Databricks workspace and tools
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Understand clusters, notebooks, and data management
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Learn how Databricks supports end-to-end ML development
Training Machine Learning Models
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Build and train machine learning models within Databricks
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Work with datasets and features to optimise model performance
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Evaluate results and refine models for better accuracy
Using MLflow in Databricks
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Track experiments and model metrics with MLflow
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Manage model versions and lifecycle efficiently
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Compare models and maintain reproducibility in development
Training Deep Learning Models
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Develop deep learning models using Azure Databricks
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Apply popular frameworks for neural networks
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Scale training workloads efficiently in the cloud
Managing Machine Learning in Production
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Deploy models into production environments
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Monitor performance, versioning, and usage
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Apply best practices for operationalising machine learning
Who should attend
This course is designed for:
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Data scientists and machine learning engineers deploying models to production
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Developers working with Databricks and Azure-based data platforms
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Data engineers supporting machine learning workflows
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Technical professionals looking to operationalise machine learning models
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Teams responsible for managing, monitoring, and scaling ML solutions
Feedback
4.8 out of 5 average
"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