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Duration 21 hours
Course Outline
Introduction to AI-Augmented SQL
- Overview of AI integration within modern 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 applications
- Techniques for fine-tuning models to improve database interaction
Natural Language to SQL (NL2SQL) Systems
- Architectural frameworks and approaches for NL2SQL
- Methods for building and deploying text-to-SQL pipelines
- Strategies for evaluating query accuracy and user intent
AI-Assisted Query Optimization
- Leveraging AI to identify and rectify inefficient queries
- Utilizing LLM-based query rewriting to enhance performance
- Integrating AI optimization into PostgreSQL and SQL Server
Security, Governance, and Auditability
- Managing access controls for AI-generated queries
- Maintaining explainability and regulatory compliance
- Establishing AI governance frameworks in enterprise data systems
LLM Integration and Orchestration
- Connecting SQL engines with AI APIs
- Utilizing frameworks such as LangChain and LlamaIndex
- Deploying AI components within hybrid and cloud-based architectures
Practical Implementation Labs
- Configuring AI-SQL connections and test environments
- Developing and assessing AI-generated queries
- Quantifying performance improvements through AI optimization
Future Trends and Enterprise Adoption Strategies
- The rise of AI-native database systems and the evolution of SQL
- Synergies with data lakes, BI tools, and data pipelines
- Creating internal AI query assistants for organizational use
Requirements
- Familiarity with core SQL fundamentals
- Practical experience in database administration or data engineering
- Foundational knowledge of AI or machine learning concepts
Target Audience
- Data engineers and database administrators
- Enterprise architects and analytics leads
- 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.
Price per private group, online live training, starting from 4800 € + VAT*
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