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Principal Engineers & Solution Architects

AI for Software Architects

The most consequential AI decisions are architectural. Make them well.

For senior engineers and architects designing systems that incorporate AI. Covers design patterns, trade-off analysis, vendor evaluation, UAE governance frameworks, and leading an organisation's AI architecture.

Duration
6 weeks · 5hrs/week — executive-density
Format
Live online + async labs with HYVE engineer code review
Prerequisite
5+ years engineering; system design background

Curriculum

01

AI System Design Patterns

6hrs

RAG, agent loop, tool-use, chain-of-thought, multi-agent — trade-offs, when to use each, and how they compose.

Lab: Design 3 alternative architectures for a UAE banking AI system and present trade-offs.
02

LLM Vendor Evaluation

5hrs

Benchmarks, latency, cost, UAE data residency requirements, API reliability — run your own evaluation, not vendor claims.

Lab: Run a structured evaluation of Claude, GPT-4o, and Gemini on UAE banking tasks.
03

Scalability, Reliability & Cost

6hrs

Caching layers, async processing, load balancing, UAE/GCC multi-region, cost modelling at scale.

Lab: Cost-model a 100K user/day AI system and identify the top 3 optimisation levers.
04

AI Governance for UAE

5hrs

CBUAE AI governance, UAE PDPL, DIFC DPDL, data residency architecture, bias risk, explainability requirements.

Lab: Produce a governance framework for an AI feature in a CBUAE-regulated environment.
05

Multi-Agent Architecture

6hrs

Reliable multi-agent system design — orchestration patterns, failure modes, human escalation, audit trails.

Lab: Design a multi-agent architecture for a complex UAE government workflow.
06

Communicating AI to Stakeholders

4hrs

Presenting AI decisions to executives, regulators, and boards. Risk framing and ROI articulation.

Lab: Present an AI architecture and investment case to a simulated board panel.

Learning Outcomes

  • ✓Design scalable AI system architectures
  • ✓Evaluate AI vendors objectively
  • ✓Build UAE-compliant AI governance frameworks
  • ✓Lead architectural reviews for AI features
  • ✓Present AI decisions to non-technical stakeholders

FAQs