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 Duration 21 hours

Course Outline

Introduction to AI-Augmented SQL

  • Overview of AI integration within data systems
  • The shift from traditional SQL to AI-assisted querying
  • Primary enterprise use cases and associated benefits

Understanding LLMs in SQL Context

  • Mechanisms by which LLMs interpret and generate structured queries
  • Evaluation of GPT, LLaMA, DeepSeek, Qwen, and Mistral for SQL applications
  • Fine-tuning models specifically for database interaction

Natural Language to SQL (NL2SQL) Systems

  • Architectural patterns and approaches for NL2SQL
  • 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
  • Performance-focused query rewriting using LLMs
  • Incorporating AI optimization into PostgreSQL and SQL Server

Security, Governance, and Auditability

  • Regulating access to AI-generated queries
  • Maintaining explainability and ensuring regulatory compliance
  • Establishing AI governance frameworks in enterprise data systems

LLM Integration and Orchestration

  • Bridging SQL engines with AI APIs
  • Utilizing frameworks such as LangChain and LlamaIndex
  • Deploying AI components across hybrid and cloud architectures

Practical Implementation Labs

  • Configuring AI-SQL connections and testing environments
  • Generating and evaluating AI-produced queries
  • Quantifying performance gains through AI optimization

Future Trends and Enterprise Adoption Strategies

  • The emergence of AI-native database systems and the evolution of SQL
  • Integration with data lakes, BI tools, and data pipelines
  • Developing internal AI query assistants for organizational use

Requirements

  • A solid grasp of SQL fundamentals
  • Practical experience in database administration or data engineering
  • Familiarity with basic AI and machine learning concepts

Target Audience

  • Data engineers and database administrators
  • Enterprise architects and analytics leads
  • AI integration and platform engineering teams

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