Abdurrahman TEKIN

    Abdurrahman TEKIN

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    Who Is Abdurrahman TEKIN?

    Abdurrahman Tekin is a dedicated software engineer and AI educator who specializes in the practical implementation of local large language models. With a deep-rooted passion for making cutting-edge artificial intelligence accessible to developers, Abdurrahman focuses his teaching on the transition from cloud-based API reliance to high-performance, private, and local deployments. He believes that the future of software development lies in the ability to fine-tune and run sophisticated AI models on local hardware, reducing latency, ensuring data privacy, and optimizing operational costs. Through his curriculum, he bridges the gap between complex theoretical concepts and hands-on Python-based application building. Students often describe…

    Overview of Abdurrahman TEKIN

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    Abdurrahman TEKIN's Programs

    Ollama & Local LLMs: Fine-Tune, Deploy, Build Python AI Apps bannerHighest rated

    Ollama & Local LLMs: Fine-Tune, Deploy, Build Python AI Apps

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    This comprehensive course, led by Abdurrahman TEKIN, offers a deep dive into the world of private, offline artificial intelligence. Designed for Python developers and AI enthusiasts, the curriculum guides you through the process of setting up and running local Large Language Models (LLMs) on your own hardware using Ollama. You will learn to build responsive Streamlit user interfaces, work with multimodal models to handle vision and video, and implement document-grounded question-answering systems (RAG) using LangChain and spaCy embeddings. Beyond simple generation, the course covers agentic workflows with CrewAI and local model execution with Hugging Face transformers. A major highlight is the hands-on approach to fine-tuning: you will master QLoRA fine-tuning using Unsloth, evaluate your custom models, merge LoRA adapters, and export them into Ollama using Modelfiles. The course culminates in an advanced capstone project where you build a local AI coding assistant capable of editing, planning, and executing code safely. Perfect for developers prioritizing data privacy and custom performance.

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    Abdurrahman prioritizes a hands-on, code-first approach. He emphasizes understanding the underlying mechanisms of local LLMs through live demonstrations and practical coding exercises, ensuring students are ready to build real-world applications immediately.