AI Engineering Bootcamp
LLM Engineer / GenAI Developer
Become an AI engineer who ships production-grade RAG, Agent and LLMOps systems.
A 16-week intensive bootcamp that transforms Python-fluent engineers into AI engineers shipping production-grade RAG, Agent and LLMOps systems. End-to-end product lifecycle experience on OpenAI, Anthropic, Google and AWS Bedrock platforms. The capstone project ships a live, user-facing AI application.
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
Existing Turkish bootcamps focus on classic ML or web dev; no LLM-native engineer track exists. Major Turkish enterprises (Trendyol, Garanti, Migros) hire offshore for this role.
About the Program
Target Teams
- Software engineers fluent in Python or TypeScript
- Backend/full-stack engineers
- Classic ML engineers transitioning to LLM
- Senior frontend developers building AI products
Your Team's Outcomes
- Design and ship production-grade RAG systems
- Master OpenAI, Anthropic, Google and Bedrock APIs at advanced level
- Build multi-step agents with LangGraph and Claude Agent SDK
- Set up observability and evaluation with LangSmith/Phoenix
- Optimize cost, latency and accuracy in production
Prerequisites
- At least 1 year of Python or TypeScript experience
- REST API and Git knowledge
- Basic CLI/Linux usage
Trainings in this Program
12 modules / micro-trainings
- 01
Python AI Ecosystem (Modern Stack)
15 saat - 02
LLM APIs In-Depth
20 saat - 03
Structured Output & Tool Use
10 saat - 04
Prompt Engineering (Systematic Design)
15 saat - 05
RAG Architecture (Chunking, Embedding, Retrieval)
25 saat - 06
Vector Database (pgvector, Qdrant, Weaviate)
15 saat - 07
Hybrid Search & Re-ranking
10 saat - 08
Agent Development (LangGraph + Claude Agent SDK)
25 saat - 09
LLM Evaluation (RAGAS, Golden Set, LLM-as-Judge)
15 saat - 10
Streaming, Async and Cost Optimization
15 saat - 11
Production Deployment (Docker, FastAPI, Vercel)
15 saat - 12
Capstone: Production-Shipped RAG/Agent App
60 saat
Capstone Project
Full production-grade application for a real use case (legal assistant, medical RAG, customer support agent) including frontend, API, vector DB, evaluation suite and observability.
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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MCP Server Developer Program
The first Turkish program teaching Anthropic's new MCP protocol — capture first-mover advantage.
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.