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Duration 21 hours
Course Outline
Introduction to AI-Augmented SQL
- Overview of AI integration within data systems
- The transition from traditional SQL to AI-assisted querying
- Key enterprise use cases and associated benefits
Understanding LLMs in the SQL Context
- Mechanisms by which LLMs interpret and generate structured queries
- Comparative analysis of GPT, LlaMA, DeepSeek, Qwen, and Mistral for SQL tasks
- Techniques for fine-tuning models for database interactions
Natural Language to SQL (NL2SQL) Systems
- Architectures and methodologies for NL2SQL implementation
- Construction and deployment of text-to-SQL pipelines
- Assessing query accuracy and understanding user intent
AI-Assisted Query Optimization
- Leveraging AI to identify and rectify inefficient queries
- Applying LLM-based query rewriting to enhance performance
- Integrating AI optimization into PostgreSQL and SQL Server environments
Security, Governance, and Auditability
- Managing access controls for AI-generated queries
- Ensuring explainability and regulatory compliance
- Establishing AI governance frameworks within enterprise data systems
LLM Integration and Orchestration
- Connecting SQL engines with AI APIs
- Utilizing frameworks such as LangChain and LlamaIndex
- Deploying AI components across hybrid and cloud architectures
Practical Implementation Labs
- Configuration of AI-SQL connections and testing environments
- Generation and evaluation of AI-produced queries
- Quantifying performance gains through AI optimization
Future Trends and Enterprise Adoption Strategies
- The evolution of SQL in AI-native database systems
- Integration with data lakes, BI tools, and data pipelines
- Development of internal AI query assistants for organizational use
Requirements
- A solid grasp of SQL fundamentals
- Practical experience in database administration or data engineering
- Familiarity with core AI or machine learning concepts
Target Audience
- Data engineers and database administrators
- Enterprise architects and analytics leads
- Teams focused on AI integration and platform engineering
