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Starts 6 July 2025 19:54

Ends 6 July 2025

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AI for the DBA

Step into the world of AI designed specifically for Database Administrators (DBAs). This event offers a comprehensive overview of the AI landscape, focusing on equipping DBAs with the skills they need to excel. You'll cover essential AI basics and develop support skills tailored to the needs of DBAs. Gain detailed insights into AI architecture.
PASS Data Community Summit via YouTube

PASS Data Community Summit

2825 Courses


1 hour 13 minutes

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Overview

Step into the world of AI designed specifically for Database Administrators (DBAs). This event offers a comprehensive overview of the AI landscape, focusing on equipping DBAs with the skills they need to excel.

You'll cover essential AI basics and develop support skills tailored to the needs of DBAs. Gain detailed insights into AI architecture and learn methods for operationalizing models using Azure ML Server.

Don't miss out on this opportunity to enhance your understanding and capabilities in AI. Tune in on YouTube for invaluable content and networking opportunities.

Syllabus

  • Introduction to AI for DBAs
  • Overview of AI in database management
    Importance of AI skills for DBAs
  • Basics of Artificial Intelligence
  • Key concepts and terminology
    Types of AI and machine learning
    Understanding AI models and algorithms
  • AI Ecosystem and Tools
  • Survey of AI tools for DBAs
    Introduction to Azure ML Server
    Comparison with other AI platforms
  • AI Architecture for DBAs
  • Components of AI architecture
    Data pipelines and data management
    Integrating AI with existing database systems
  • Operationalizing AI Models
  • Stages of deploying AI models in production
    Best practices for model management
    Continuous monitoring and updating of models
  • AI Support Skills for DBAs
  • Data preparation and feature engineering
    Model evaluation and validation techniques
    Collaborating with data scientists and AI engineers
  • Case Studies and Practical Applications
  • Real-world examples of AI in database environments
    Hands-on exercises with Azure ML Server
    Exploration of case studies in different industries
  • Future Trends and the Evolving Role of DBAs in AI
  • Emerging AI technologies for databases
    How AI is shaping the DBA profession
    Preparing for future AI developments
  • Capstone Project
  • Designing and deploying an AI solution using Azure ML Server
    Presentation and peer review of projects

Subjects

Conference Talks