Course Outline

Introduction to AI in Postgres for Government

  • Overview of AI and data-driven systems for government applications
  • AI use cases within Postgres environments tailored for government operations
  • Architecture considerations for AI workloads in the public sector

Setting Up the Environment for Government Use

  • Installing PostgreSQL and configuring pgvector to support government data needs
  • Setting up Python for AI integrations within government systems
  • Connecting Postgres to local and cloud-based LLMs for secure government operations

AI Extensions and Vector Databases for Government

  • Understanding vector embeddings in Postgres for enhanced government data analysis
  • Using pgvector for similarity search and semantic queries to improve government services
  • Benchmarking AI extensions versus external vector stores for optimal performance in government workflows

Integrating LLMs with Postgres for Government Applications

  • Connecting Postgres with OpenAI, Deepseek, Qwen, and Mistral Small to support government initiatives
  • Designing AI query pipelines for efficient government data processing
  • Storing and retrieving embeddings efficiently to enhance government data management

Building Intelligent Query Systems for Government

  • Natural language to SQL using LLMs to streamline government data queries
  • Automating query generation and optimization for improved government efficiency
  • AI-assisted database search and summarization for better government decision-making

Optimizing Postgres for AI Workloads in Government

  • Indexing strategies for embeddings to enhance government data retrieval
  • Performance tuning and caching for AI queries to support government operations
  • Scaling Postgres with distributed and cloud architectures to meet government needs

Security and Governance in AI-Enabled Databases for Government

  • Data privacy and compliance considerations for government data
  • Managing API keys and access control to ensure secure government operations
  • Auditing AI interactions and query logs for transparency and accountability in government processes

Case Studies and Enterprise Use Cases for Government

  • AI-powered recommendation systems with Postgres to enhance government services
  • Enterprise search and analytics with embeddings to improve government efficiency
  • Automation and predictive modeling within Postgres to support government decision-making

Summary and Next Steps for Government Implementation

Requirements

  • A solid understanding of SQL and relational database concepts
  • Experience in Postgres administration or development
  • Basic knowledge of artificial intelligence and machine learning principles

Audience

  • Database administrators seeking to integrate AI into their Postgres environments for government use
  • Data engineers constructing AI-powered database pipelines for government applications
  • Developers and architects creating intelligent, data-driven solutions for government
 21 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories