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
Program Materials & Outputs
Concrete deliverables your team receives at the end of training
Anonymous Turkish Case Studies
Measured outcomes from companies that purchased this program (anonymous under NDA)
Top-3 Turkish Bank · AI Engineer Team (12 people)
RAG-based customer assistant shipped to production. Call center deflection: 62%. Time-to-deploy reduced from 14 weeks to 5.
Türkiye Top-2 E-commerce · ML Engineering Team (18 people)
Search relevance v2 (RAG + re-ranking) increased CTR by 23%. 6 new AI products entered roadmap after capstone.
Insurance Group · Development Program (8 senior devs)
Claim detection agent (CV + LLM hybrid) accuracy: 71% → 89%. ROI achieved in 6 months.
How This Program Differs from Alternatives
Side-by-side comparison — Coursera / Udemy / INSEAD / local rivals
| Criteria | This Program | Global MOOC | INSEAD/MIT | Local Bootcamp |
|---|---|---|---|---|
| Company-specific curriculum | ||||
| KVKK + BDDK + EU AI Act compliant | ||||
| On-site delivery in Türkiye | ||||
| Turkish + sector cases | ~ | |||
| Capstone (company data, NDA) | ||||
| Cohort-based + mentor | ~ | |||
| 30+ days post-training support | ~ | |||
| Monthly follow-up + QBR |
Package Options
3 packages by customization depth — best fit recommended after discovery
Standard
Existing curriculum + 30 days async support + capability report
Plus
Standard + company-specific lab design + 90 days support + monthly follow-up
Premium
Plus + train-the-trainer + 12-month partnership + quarterly business review
ROI Calculator
Estimate the value uplift for your company instantly
Estimated value — actual results vary by company context. A bespoke ROI model is provided in the discovery call.
For Decision Makers
Value of this program by your role
Before/after capability report, verifiable certificate and LMS integration concretely measure training ROI. AI-trained staff retention is 3x higher (based on Turkish company data).
Upcoming Cohort Schedule
Company-specific date or open cohort — your choice
Instructor Profile
Şükrü Yusuf KAYA
AI Expert · Corporate Trainer · Independent Consultant
Credentials & Expertise
- Anthropic Claude API specialist
- AWS Cloud Practitioner
- Microsoft Learn AI Engineer
- AI for Manufacturing (MIT)
- Data Science (Coursera Specialization)
- Prompt Engineering Certified
Tech Stack & Topics
Regulatory & Sector Context
Compliance & Regulation
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?
Related Resources
Deeper reading + related training and glossary terms
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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.