AI for the DBA

Overview

Explore the AI ecosystem for DBAs, covering basics, support skills, and in-depth understanding to thrive in AI. Learn about architecture and operationalizing models using Azure ML Server.

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