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 Duration 21 hours

Course Outline

Introduction to AI-Augmented SQL

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

Understanding LLMs in a SQL Context

  • Mechanisms by which LLMs interpret and generate structured queries
  • Comparative analysis of GPT, LLaMA, DeepSeek, Qwen, and Mistral for SQL applications
  • Model fine-tuning strategies for database interaction

Natural Language to SQL (NL2SQL) Systems

  • Architectural frameworks 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 techniques to enhance performance
  • Integrating AI optimization features into PostgreSQL and SQL Server

Security, Governance, and Auditability

  • Managing access controls for AI-generated queries
  • Safeguarding explainability and ensuring regulatory compliance
  • Establishing AI governance frameworks in enterprise data systems

LLM Integration and Orchestration

  • Establishing connections between SQL engines and AI APIs
  • Utilizing frameworks such as LangChain and LlamaIndex
  • Deploying AI components across hybrid and cloud-based architectures

Practical Implementation Labs

  • Configuration of AI-SQL connections and test environments
  • Creation and evaluation of AI-generated queries
  • Quantifying performance improvements through AI optimization

Future Trends and Enterprise Adoption Strategies

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

Requirements

  • A solid grasp of SQL fundamentals
  • Professional experience in database administration or data engineering
  • Foundational knowledge of AI or machine learning principles

Target Audience

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

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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