AI Architecture Mastery
Master AI-native system design and enterprise patterns. This advanced workshop teaches experienced architects how to build scalable, production-ready AI systems.
Course Overview
A 6-week intensive workshop for experienced architects and senior developers. Learn to design AI-native systems that scale, perform, and integrate seamlessly with existing enterprise infrastructure.
Course Details
Expected Launch: Q1 2026
Curriculum Overview
Three focused modules that take you from traditional architecture to AI-native system design.
AI-Native Foundations
Weeks 1-2
Understand the fundamental differences between traditional and AI-native architectures.
- • AI system design principles and patterns
- • Model lifecycle integration architecture
- • Data flow and processing pipelines
- • Performance and scalability considerations
Service Orchestration
Weeks 3-4
Design robust AI service architectures that integrate with enterprise systems.
- • Microservices patterns for AI systems
- • Event-driven AI architecture
- • API design for AI services
- • Fault tolerance and resilience patterns
Enterprise Integration
Weeks 5-6
Implement AI systems within complex enterprise environments and existing infrastructure.
- • Legacy system integration strategies
- • Security and compliance architecture
- • Monitoring and observability for AI systems
- • Production deployment patterns
What You'll Master
Advanced architectural skills that transform how you design AI systems.
AI-Native Application Architectures
Design systems optimized for AI workloads and model integration.
Robust AI Service Orchestration
Implement resilient patterns for AI service coordination and management.
AI Model Lifecycle Management
Architect systems that handle model training, deployment, and updates.
Fault-Tolerant AI Systems
Build resilient architectures that gracefully handle AI system failures.
Prerequisites
This expert-level workshop requires significant architectural experience.
✓ You Should Have
- • 5+ years software architecture experience
- • Experience designing distributed systems
- • Understanding of microservices patterns
- • Knowledge of API design and integration
- • Database architecture experience
- • Cloud platform expertise (AWS/Azure/GCP)
→ Ideal Background
- • Principal/Staff engineer or architect role
- • Experience with high-scale systems
- • Some ML/AI system exposure
- • DevOps and deployment automation
- • Security and compliance experience
- • Enterprise integration experience
Ready to Master AI Architecture?
Be among the first to know when this expert-level workshop launches. Join the waitlist for early access.
Expected launch Q1 2026. Limited to 12 participants per cohort.