AI-Native TrainingModule 8
8
Architect15-20 hoursAvailable Now
Enterprise AI Architecture
Platform Design, Multi-Model Orchestration, and Governance
Design enterprise-scale AI systems with multi-model orchestration and comprehensive governance. Optimize for cost, performance, and reliability at scale.
Based on:Industry Best Practices
Learning Objectives
Design enterprise-scale AI systems
Architect multi-model AI platforms
Implement AI governance at scale
Optimize for cost, performance, and reliability
Topics Covered
1
Enterprise AI Platform Design
Platform components and architecture patterns
Model serving infrastructure and feature stores
Microservices for AI, event-driven systems
Hybrid cloud and edge deployment
2
Multi-Model Orchestration
Model selection, routing, and ensemble methods
Model routing based on task
Fallback models for reliability
Ensemble methods for accuracy
3
Cost Optimization at Scale
Cost drivers and optimization techniques
Prompt compression and response caching
Model quantization and distillation
Spot instances and reserved capacity
4
Enterprise AI Governance
Strategy, CoE, risk management
AI strategy and Center of Excellence
Risk assessment framework
Continuous monitoring and auditing
Hands-On Projects
Enterprise Platform Design
advanced5 hours
Design enterprise AI platform architecture
Multi-Model System
advanced4 hours
Implement multi-model orchestration
Cost Optimization Strategy
advanced3 hours
Create cost optimization strategy
Governance Framework
advanced3 hours
Develop enterprise AI governance framework