

Understanding Large Language Models: Architecture, Concepts, and Modern Systems
A 3-day architectural overview of large language models — transformers, attention, training, inference, and the modern open-source ecosystem.
Duration
3 days
Schedule
Flexible Dates
Available as in-house or custom-scheduled workshop
Your Trainer

he/him
Senior Machine Learning Engineer
Machine Learning Engineer and Software Architect with 15+ years of experience, specializing in deep learning, NLP, and LLM-based systems. Strong focus on designing and deploying end-to-end AI pipelines, including model fine-tuning (LoRA/PEFT), retrieval-augmented generation (RAG), and high-performance inference with modern frameworks such as PyTorch, Hugging Face Transformers, and vLLM. Experienced in building agentic systems using LangChain and LangGraph, as well as developing scalable backend services in Python. Combines solid software engineering principles with hands-on expertise in data-centric AI to deliver robust, production-ready solutions.
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Agenda
Starting from
1.290,00
EUR
Topics
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