Description

Introduction
Oracle 23AI introduces AI-driven capabilities to enhance database management, performance, and automation. This training focuses on leveraging AI for intelligent query optimization, predictive maintenance, data lifecycle management, and automating routine database tasks. Participants will gain hands-on experience in integrating AI features with traditional database operations to improve efficiency, reduce errors, and enable smarter decision-making.

Prerequisites

• Basic knowledge of Oracle Database architecture and SQL

• Understanding of database administration concepts

• Familiarity with cloud databases and AI fundamentals is helpful but not mandatory

• Basic scripting knowledge (PL/SQL, Python)

Table of Contents

1. Introduction to Oracle 23AI
1.1 Overview of Oracle 23AI features and capabilities
1.2 Understanding AI integration in modern databases
1.3 Key benefits of AI-driven database management

2. AI-Powered Database Management
2.1 Intelligent query optimization
2.2 Automated index and performance tuning
2.3 Predictive analytics for database health
2.4 Self-healing mechanisms and anomaly detection

3. Automation in Oracle 23AI
3.1 Automating routine database tasks
3.2 AI-driven backup and recovery
3.3 Maintenance scheduling and patch automation
3.4 AI in workload management

4. Data Lifecycle & Security with AI
4.1 AI-assisted data classification and tagging
4.2 Intelligent data archiving and retention
4.3 Security monitoring and threat detection
4.4 Compliance and audit automation

5. Integrating AI with Applications
5.1 AI APIs for developers
5.2 Embedding AI insights in business applications
5.3 Case studies of AI-driven applications
5.4 Best practices for AI integration

6. Monitoring & Performance Analytics
6.1 AI-powered monitoring dashboards
6.2 Real-time performance alerts
6.3 Trend analysis and predictive insights
6.4 Continuous improvement using AI feedback

7. Hands-On Labs
7.1 Configuring AI-driven database features
7.2 Automating maintenance tasks with AI
7.3 Analyzing performance using AI insights
7.4 Implementing AI in sample business applications

Oracle 23AI empowers database administrators and developers to harness AI for smarter, faster, and more reliable database operations. By combining automation, predictive analytics, and AI-driven insights, participants will be able to optimize performance, reduce operational complexity, and improve decision-making across their database ecosystem.