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Duration 21 hours
Course Outline
Introduction to AI-Enhanced SQL
- An overview of AI integration within data systems.
- The evolution from traditional SQL to AI-assisted querying.
- Key enterprise use cases and associated benefits.
Understanding LLMs in the SQL Context
- How LLMs interpret and generate structured queries.
- Comparing GPT, LlaMA, DeepSeek, Qwen, and Mistral for SQL applications.
- Fine-tuning models for effective database interaction.
Natural Language to SQL (NL2SQL) Systems
- Architectures and methodologies for NL2SQL.
- Building and deploying text-to-SQL pipelines.
- Evaluating query accuracy and capturing user intent.
AI-Assisted Query Optimisation
- Utilising AI to identify and rectify inefficient queries.
- LLM-based query rewriting for enhanced performance.
- Integrating AI optimisation into PostgreSQL and SQL Server.
Security, Governance, and Auditability
- Controlling access to AI-generated queries.
- Ensuring explainability and regulatory compliance.
- Implementing AI governance frameworks within enterprise data systems.
LLM Integration and Orchestration
- Connecting SQL engines with AI APIs.
- Utilising frameworks such as LangChain and LlamaIndex.
- Deploying AI components within hybrid and cloud architectures.
Practical Implementation Labs
- Establishing AI-SQL connections and setting up test environments.
- Creating and evaluating AI-generated queries.
- Measuring performance gains through AI optimisation.
Future Trends and Enterprise Adoption Strategies
- AI-native database systems and the future evolution of SQL.
- Integration with data lakes, BI tools, and data pipelines.
- Developing internal AI query assistants for organisational use.
Requirements
- A solid grasp of SQL fundamentals.
- Practical experience in database administration or data engineering.
- Basic familiarity with artificial intelligence or machine learning concepts.
Target Audience
- Data engineers and database administrators.
- Enterprise architects and analytics leads.
- Teams responsible for AI integration and platform engineering.
