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Advanced Program
AI Systems Architecture
Design AI platforms that scale, stay secure and pass review.
- Length
- 12 or 18 months
- Level
- Advanced
- Weekly
- 8 to 12 hours
- Format
- Live cohort
- Modules
- 10 to 14
- Next intake
- To be announced
What you'll learn
For senior engineers and architects responsible for how AI fits into an organisation's systems. You design end-to-end architectures covering data, serving, retrieval, agents, security and cost, and defend them in architecture reviews modelled on real enterprise practice.
By the end, you will be able to
- Produce reference architectures for ML and LLM platforms
- Make build-versus-buy decisions with explicit cost models
- Design multi-tenant retrieval and agent infrastructure
- Define reliability targets and observability for AI services
- Map architectures to AI governance and regulatory requirements
Curriculum
Switch between the 12- and 18-month options to see how the program expands. Every module includes a hands-on lab.
10 modules, 48 weeks, about 384 to 576 study hours
Core modulesCapstone
Topics
- Non-determinism
- Data gravity
- Architecture decision records
Lab
Write ADRs for an AI feature
Estimated effort
32 to 48 hours over 4 weeks
Skills you'll build
- AI systems designAdvanced
- Security architectureAdvanced
- Cost engineeringProficient
- AI governanceProficient
- Platform strategyProficient
Tools and technologies
- Kubernetes
- Terraform
- Kafka
- PostgreSQL
- vLLM
- OpenTelemetry
- AWS
- Azure
- Google Cloud
Product names are trademarks of their owners, listed only to describe what we teach. No endorsement is implied.
Portfolio projects
Representative projects from the curriculum. Your capstone is scoped with a mentor around a problem you choose.
Internal LLM gateway
Architecture for routing, caching, quotas and audit across teams.
Gateway, Observability
18-month option
Governed AI platform
A multi-year platform design with controls mapped to governance requirements.
Governance, Strategy
How it's delivered
- Live cohort
- Scheduled live classes each week with your cohort, recorded for different time zones, plus self-paced lessons and labs.
Instructors
Instructor and mentor profiles for this program are published once each person's background has been verified. We don't show placeholder faces or borrowed credentials.
Admissions
- 1Submit an online application
- 2Short technical conversation
- 3Decision by email
- 4Confirm your place and start onboarding
Tuition
- 12-month optionPublished before intake
- 18-month optionPublished before intake
Payment options vary by country and are shown at checkout.
Tuition and payment optionsCertificate
Complete every required module, pass the assessments and the capstone review to earn the Advanced Program.
Each certificate has a unique ID and QR code that anyone can check on our verification page.
This is a professional credential issued by Zyvora Academy, not an academic degree.
Where it can lead
Roles this program builds toward. Outcomes depend on your background, effort and local job market; we don't guarantee employment.
MLOps Engineer
Keeps models and AI services healthy in production.
Role detailsAI Solutions Architect
Designs how AI capabilities fit into an organisation's systems.
Role detailsAI Product or Engineering Leader
Sets direction for AI products, platforms and teams.
Role details
Program questions
Syllabus
Get the full syllabus
We'll email the detailed syllabus, and the fee sheet as soon as tuition for the next intake is published.
Advisor
Speak to an advisor
Ask about fit, prerequisites or which length suits you. An advisor replies by email to arrange a call.
