AI Solutions Architect Program
Enterprise AI Architect
Fill the enterprise AI architect role that Microsoft, AWS and Google are hiring for.
Microsoft / AWS / Google seek hybrid AI architects; fewer than 50 certified people exist in Türkiye on LinkedIn. Enterprise-grade design practice: reference architectures, hybrid cloud / on-prem strategy, sovereign AI architecture and TOGAF + AI extension.
Quick Facts
Why This Program for Your Company
Talent Development
Grow your in-house teams; reduce vendor and outsourcing dependency
Fast Time-to-Value
Built for a 90-day pilot-to-production trajectory
Measurable ROI
Before/after capability report + KPI dashboard with tangible outcomes
AI Culture
AI adoption across all levels — from executive to engineer
Delivery Models
Choose the delivery format that fits your team
On-site
At your company location, closed group
Hybrid
Online + periodic in-person intensives
Fully Remote
Live remote + recordings + lab notebooks
Train-the-Trainer
Build in-house trainers — long-term scaling
Tailored to Your Company
Content is customized to your industry, regulatory framework, existing tech stack and target use cases. Labs run on your existing systems or sample datasets.
Lab Environment
Hands-on labs run on your company data (under NDA), isolated sandbox or sample dataset
Post-Training Support
30 days async support (Slack/Teams/Discord) + optional monthly follow-up sessions + code review support
Why Now? — Türkiye's Empty Market
Zero enterprise AI architect training. Cloud certifications exist but AI-specific architecture doesn't.
About the Program
Target Teams
- Senior solutions / cloud architects
- Enterprise architects
- Tech leads rotating to architecture
- AI consultants
Your Team's Outcomes
- Write enterprise AI architecture documents (NFR + IFR)
- Build vs buy vs orchestrate decision matrix
- Hybrid cloud + on-prem sovereign AI architecture
- Design KVKK-compliant data residency
- AI-specific TCO and ROI calculation
Prerequisites
- 5+ years tech experience
- Advanced cloud (AWS/GCP/Azure)
- General AI ecosystem knowledge
Trainings in this Program
12 modules / micro-trainings
- 01
Enterprise AI Architecture Principles
- 02
Build vs Buy vs Orchestrate
- 03
Reference Architectures (Azure, AWS, GCP)
- 04
Hybrid Cloud / On-Prem Strategy
- 05
Sovereign AI Architecture
- 06
Data Residency (KVKK)
- 07
Identity & Access (RBAC, ABAC, OAuth)
- 08
Network Architecture (Private Endpoint, VPN)
- 09
Enterprise Cost Modelling
- 10
ROI Calculation
- 11
TOGAF + AI Extension
- 12
Capstone: Enterprise AI Architecture Document
Capstone Project
Full AI architecture document for a real (anonymized) enterprise: vision, NFR + IFR, architecture diagrams, decision logs, TCO, risk register and implementation roadmap.
How We Work
From discovery to delivery and post-training follow-up
- 1
Discovery
Free 30min — team capability map, use case discovery, goal setting
- 2
Design
Custom curriculum, lab scenarios and delivery timeline for your use cases
- 3
Delivery
Live training + hands-on labs + capstone project + completion certificate
- 4
Follow-up
Capability report + 30-day support + optional monthly check-in sessions
Career Path
Positions you can target after this program
Tech Stack & Topics
Frequently Asked Questions
How do enrollment and participant selection work?
How is pricing structured?
Can the curriculum be customized for our use cases?
On-site or remote?
Is post-training support included?
Are certificates provided?
Who is this program for?
What will I learn?
What is the duration and format?
What are the prerequisites?
Which positions does this program prepare me for?
Why is this program needed in Türkiye?
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Bring This Program to Your Team
In a free 30-minute discovery call we map your team's capability, explore your target use cases and prepare a custom quote for your company. No commitment.