Project Overview

Build and deploy a production-ready AI platform that incorporates all the concepts from this learning path. We'll create a multi-tenant AI service with comprehensive monitoring, auto-scaling, and security.

Architecture Design

Design a scalable, secure AI platform:

Step 1: Core Platform Setup

Build the foundation:

Step 2: API Implementation

Create robust API endpoints:

Step 3: Deploy with Kubernetes

Container orchestration setup:

Step 4: Monitoring Setup

Comprehensive observability:

Step 5: Security Implementation

Production security measures:

Step 6: CI/CD Pipeline

Automated deployment pipeline:

Complete Platform Features

Your production AI platform now includes:

Multi-tenant API with authentication
Auto-scaling inference service
Comprehensive monitoring and alerting
Security hardening and compliance
Cost tracking and optimization
CI/CD pipeline with automated testing
Disaster recovery and backup
Documentation and runbooks

Next Steps

Continue improving your platform:

Add A/B testing capabilities
Implement model versioning
Build custom dashboards
Add more security layers
Optimize for cost
Expand to multi-region