How to Query Data Using Natural Language - Introduction to AI Features in Oracle 23c

Overview

Discover how to query databases using natural language and leverage vector search capabilities in Oracle 23ai through practical demonstrations and implementation strategies.

Syllabus

• Course Introduction
Overview of the Course Objectives
Relevance of Natural Language Processing (NLP) in Databases
• Introduction to Oracle Database 23c
Key Features and Innovations in Oracle 23c
Overview of Oracle AI Capabilities
• Basics of Querying with Natural Language
Understanding Natural Language Processing (NLP)
How Natural Language Queries Differ from Traditional SQL
• Setting Up Your Environment
Installation and Configuration of Oracle 23c
Introduction to Oracle SQL Developer
• Exploring Oracle 23c AI Features
Overview of AI-Driven Query Capabilities
Introduction to Vector Search in Oracle
• Constructing Natural Language Queries
Natural Language Interface for Database Queries
Best Practices for Writing Effective Natural Language Queries
• Demonstration: Natural Language Query Execution
Live Demo of Querying a Database Using Natural Language
Analyzing Results and Understanding System Responses
• Understanding Vector Search
Basic Principles of Vector Search
How Oracle 23c Implements Vector Search
• Practical Implementation of AI Features
Step-by-Step Guide to Leveraging Vector Search
Enhancing Query Performance with AI Features
• Case Studies and Use Cases
Real-World Applications of Natural Language Queries
Success Stories of Implementing Oracle 23c AI Features
• Challenges and Solutions
Common Issues in Natural Language Querying
Effective Troubleshooting Techniques
• Future of AI-driven Databases
Trends and Innovations Shaping Intelligent Querying
Preparing for Future Developments in Oracle Databases
• Course Wrap-Up
Recap of Key Learnings
Additional Resources and Continued Learning Paths
• Assessment and Certification
Final Assessment: Practical Implementation Tasks
Certification Process and Requirements

Subjects

Programming