What's New in Azure Databricks - Unlocking AI and Machine Learning Capabilities

Overview

Discover the latest Azure Databricks features and learn how to leverage its AI capabilities for predictive insights, automation, and enhanced business decision-making through native Azure integrations.

Syllabus

• Introduction to Azure Databricks
Overview of Azure Databricks
Key features and benefits
• Latest Azure Databricks Updates
New interface and user experience enhancements
Improved integration with Azure services
Recent updates in Spark and MLlib
• AI and Machine Learning Capabilities
Using MLflow for model management
Automating ML model deployment
Utilizing pre-built machine learning models
• Predictive Insights with Azure Databricks
Data preparation and cleaning techniques
Building and evaluating machine learning models
Implementing predictive analytics in Azure Databricks
• Automation in Azure Databricks
Automating workflows with Databricks jobs
Scheduling and monitoring jobs
Integration with Azure Machine Learning and other services
• Enhanced Business Decision-Making
Data visualization techniques using Databricks notebooks
Real-time analytics and dashboarding
Best practices for decision-making with data insights
• Native Azure Integrations
Connectivity with Azure Data Lake Storage
Integration with Azure Synapse Analytics
Leveraging Azure Cognitive Services
• Case Studies and Industry Applications
Real-world applications of AI in Databricks
Success stories from various industries
• Hands-On Labs and Exercises
Setting up a new Azure Databricks workspace
Implementing a complete AI workflow
Exploring use cases through practical exercises
• Course Summary and Next Steps
Recap of key learning outcomes
Resources for further learning
Opportunities for Azure Databricks certification and career advancement

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Subjects

Programming