Description
Introduction
This advanced training explores the full potential of Oracle 23AI, focusing on AI-powered analytics, performance optimization, and building intelligent applications. Participants will learn to leverage AI and machine learning for predictive insights, workload optimization, anomaly detection, and creating AI-integrated applications that enhance business value. The course combines theory, practical configurations, and hands-on labs for real-world application.
Prerequisites
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Completion of foundational Oracle 23AI training or equivalent experience
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Strong knowledge of Oracle Database architecture and SQL
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Familiarity with PL/SQL, Python, or Java
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Understanding of data analytics, AI/ML concepts, and cloud database services
Table of Contents
1. Advanced AI Concepts in Oracle 23AI
1.1 Machine learning models for database optimization
1.2 AI-driven predictive analytics
1.3 Natural Language Processing (NLP) and AI integration
1.4 Understanding AI pipelines within Oracle 23AI
2. AI-Powered Performance Optimization
2.1 Automated query tuning and indexing
2.2 Adaptive workload management
2.3 Predictive resource allocation
2.4 Performance anomaly detection and resolution
3. Intelligent Data Analytics
3.1 Predictive and prescriptive analytics with Oracle 23AI
3.2 AI-assisted data visualization and dashboards
3.3 Real-time insights using AI streaming analytics
3.4 Advanced use cases in financial, retail, and healthcare domains
4. AI-Driven Automation & Operational Efficiency
4.1 Automating database operations with AI scripts
4.2 Self-healing databases and predictive maintenance
4.3 Automating backups, patches, and recovery
4.4 Reducing downtime with AI-powered monitoring
5. Intelligent Application Development
5.1 Embedding AI capabilities in applications
5.2 Using AI APIs and microservices
5.3 Building conversational AI and chatbots on Oracle 23AI
5.4 Case studies: AI-powered business applications
6. Security, Compliance & Risk Management
6.1 AI-driven threat detection and prevention
6.2 Intelligent auditing and compliance reporting
6.3 Anomaly detection for security breaches
6.4 Best practices for secure AI deployment
7. Hands-On Labs & Projects
7.1 Implementing AI models for predictive analytics
7.2 Automating database optimization tasks
7.3 Developing an AI-integrated application
7.4 Performance tuning using AI insights
Advanced Oracle 23AI equips professionals to transform databases into intelligent systems, enhancing analytics, optimization, and application development. By mastering AI-driven capabilities, participants can deliver faster insights, automate operations, and build intelligent applications that drive strategic business value.







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