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 Duration 21 hours

Course Outline

Foundations of AI-Augmented SQL

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

LLMs in a SQL Context

  • How LLMs parse and generate structured queries
  • Comparative analysis of GPT, LlaMA, DeepSeek, Qwen, and Mistral for SQL tasks
  • Techniques for fine-tuning models for database interaction

Natural Language to SQL (NL2SQL) Architectures

  • Architectural patterns and approaches for NL2SQL
  • Development and deployment of text-to-SQL pipelines
  • Assessing query accuracy and aligning with user intent

AI-Assisted Query Optimization

  • Leveraging AI to identify and rectify inefficient queries
  • LLM-based query rewriting to boost performance
  • Embedding AI optimization into PostgreSQL and SQL Server

Security, Governance, and Audit Trails

  • Managing access controls for AI-generated queries
  • Safeguarding explainability and 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

Hands-on Implementation Labs

  • Configuring AI-SQL connections and test environments
  • Generating and assessing AI-created queries
  • Quantifying performance gains through AI optimization

Future Trends and Enterprise Adoption

  • The rise of AI-native database systems and the evolution of SQL
  • Integration strategies with data lakes, BI tools, and pipelines
  • Building bespoke AI query assistants for organizational use

Requirements

  • Familiarity with core SQL concepts
  • Practical experience in database administration or data engineering
  • Fundamental understanding of AI or machine learning principles

Target Audience

  • Data engineers and database administrators
  • Enterprise architects and analytics leaders
  • Teams focused on AI integration and platform engineering

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