AI Evaluation & Quality Engineer
AI QA / Eval Specialist
Be the QA discipline that measures AI hallucination and catches regression.
Evaluation is a new profession; 'AI testing QA' doesn't exist in Türkiye. Companies ship to prod and hope. Comprehensive QA practice: golden dataset design, LLM-as-judge methodology, RAGAS/DeepEval/Promptfoo/Phoenix tools, regression testing for prompts and continuous evaluation pipelines.
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
AI-specific QA discipline is nearly unknown in Türkiye. As SaaS AI products grow, this role becomes critical.
About the Program
Target Teams
- QA engineers transitioning to AI
- AI engineers needing eval practice
- Test automation leads
- Data scientists focused on evaluation
Your Team's Outcomes
- Design and maintain golden datasets
- Set up pairwise and rubric eval with LLM-as-judge
- End-to-end eval pipeline with RAGAS, DeepEval, Phoenix, Promptfoo
- Conduct bias and fairness testing
- Integrate continuous evaluation into CI/CD
Prerequisites
- Intermediate Python
- Basic LLM API experience
- QA fundamentals (advantage)
Trainings in this Program
12 modules / micro-trainings
- 01
AI Evaluation Paradigm
- 02
Golden Dataset Design
- 03
LLM-as-Judge Methodology
- 04
Pairwise & Rubric-Based Evaluation
- 05
RAGAS, DeepEval, Phoenix, Promptfoo Tools
- 06
Regression Testing for Prompts
- 07
Human Evaluation Operations
- 08
Bias & Fairness Testing
- 09
Online Evaluation (A/B, Shadow)
- 10
AI Product Test Pyramid
- 11
Continuous Evaluation Pipeline
- 12
Capstone: Build Eval Suite for an Existing AI Product
Capstone Project
Set up golden dataset, LLM-as-judge eval, regression testing, bias testing and CI/CD-integrated continuous eval pipeline for a real AI product.
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.