Course Outline

Enterprise AI Fundamentals for PostgreSQL

  • Positioning PostgreSQL within modern AI infrastructure for government
  • Understanding the AI model lifecycle and data pipeline architecture
  • Integrating AI with enterprise data strategies for government operations

Deploying PostgreSQL for AI Workloads

  • Installing PostgreSQL and necessary AI extensions for government systems
  • Configuring pgvector and AI processing plugins for optimal performance
  • Optimizing PostgreSQL for embedding and inference tasks in AI applications

AI Integration Strategies

  • Connecting PostgreSQL with Deepseek, Qwen, Mistral Small, and OpenAI for government use cases
  • Building RESTful APIs to facilitate AI-PostgreSQL interactions in government applications
  • Embedding LLM-driven analytics directly into SQL queries for enhanced decision-making

Vector Databases and Semantic Intelligence

  • Understanding embeddings and vector similarity search techniques for government data
  • Implementing pgvector for semantic retrieval in government databases
  • Integrating PostgreSQL with hybrid vector databases to support complex queries

Performance Tuning and Optimization

  • High-performance indexing and caching strategies for AI-driven queries in government systems
  • Parallel query execution and workload partitioning techniques for efficient data processing
  • Scaling PostgreSQL horizontally to support large-scale AI applications in government environments

Security, Compliance, and Governance

  • Ensuring data lineage and model transparency within PostgreSQL for government compliance
  • Implementing access control and audit logging for secure management of AI data in government systems
  • Adhering to GDPR, SOC 2, and ISO 27001 standards for robust governance in government operations

Automation and Monitoring

  • Utilizing AI for database monitoring and anomaly detection in government applications
  • Automating SQL query generation and optimization using LLMs to enhance efficiency
  • Integrating PostgreSQL logs with AI-powered observability platforms for real-time insights

Enterprise Case Studies and Future Roadmap

  • Examining enterprise-scale deployments of AI with PostgreSQL in government agencies
  • Optimizing cost-performance in production environments for government operations
  • Exploring emerging trends in AI-native relational databases for future government applications

Summary and Next Steps

Requirements

  • A comprehensive understanding of relational database systems and SQL for government applications
  • Practical experience with PostgreSQL administration and development in a public sector context
  • Familiarity with artificial intelligence/machine learning models and data processing workflows for government use

Audience

  • Government enterprise data architects integrating AI with PostgreSQL in secure environments
  • Engineering leads responsible for implementing AI-driven database systems for government operations
  • Database administrators managing and securing AI-enabled databases for government agencies
 21 Hours

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