LRLearning RoadmapRead, build, evaluate
Modules

Module 11: Enterprise AI Project

Module 11: Enterprise AI Project Goal Combine RAG, agents, evaluation, cloud architecture, security, observability, and product thinking into one production style system. Required

modules/11-enterprise-ai-project/README.md1 min read

Module 11: Enterprise AI Project

Goal

Combine RAG, agents, evaluation, cloud architecture, security, observability, and product thinking into one production-style system.

Required Capabilities

  • Multi-user authentication.
  • Role-based authorization.
  • Document ingestion.
  • Retrieval with citations.
  • Tool calling.
  • Read and write workflows.
  • Human confirmation for risky actions.
  • Audit logs.
  • Evaluation pipeline.
  • Monitoring and cost tracking.
  • Containerized deployment.
  • Cloud architecture plan.
  • Architecture decision records.

Study Tasks

  • Select a realistic domain process.
  • Write requirements and acceptance criteria.
  • Create system architecture diagrams.
  • Implement core backend services.
  • Implement RAG.
  • Implement agent tools.
  • Add evaluation.
  • Add security controls.
  • Add deployment documentation.
  • Record architecture decisions.

Project

Build projects/09-final-enterprise-ai-system/.

Tips

  • Do not build everything at once. Ship vertical slices.
  • Keep the demo path reliable.
  • Document trade-offs as you make them.
  • Reduce scope before reducing quality.

Completion Checklist

  • The system has a working end-to-end demo.
  • The system has documented security controls.
  • The system has measurable evaluation results.
  • The system has deployment instructions.
  • The system has architecture diagrams and ADRs.