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    Abdurrahman TEKIN
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    Abdurrahman TEKIN's Ollama & Local LLMs: Fine-Tune, Deploy, Build Python AI Apps Course Review

    Community Insights

    Build Private AI on Your PC: Unsloth QLoRA, Ship Models to Ollama, Streamlit RAG Apps, a Full Coding-Assistant Capstone

    Learning Format Online Course
    Subcategory Python

    Course Price $19.99

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    About Abdurrahman TEKIN

    Build Private AI on Your PC: Unsloth QLoRA, Ship Models to Ollama, Streamlit RAG Apps, a Full Coding-Assistant Capstone

    Who Is Abdurrahman TEKIN?

    No bio available.

    Industry

    Development

    Total Students

    8,950 students

    Official Website

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    Experience

    Course Language

    English

    Social Channels

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    What Do You Learn in Abdurrahman TEKIN's Course?

    Use Ollama from Python: chat, streaming, generation.
    Build Streamlit UIs on top of local models.
    Add vision: images with multimodal models (e.g. LLaVA-style flows).
    Handle video: frames, Whisper transcription, Q&A over audio.
    Do PDF Q&A and document-grounded prompts.
    Use LangChain: Ollama integration, templates, LLMChain, multi-input prompts.
    Chunk long text and summarize with map-style workflows.
    Use spaCy embeddings: similarity, semantic search, RAG over long text.
    Build note/diary style personal knowledge apps.
    Run CrewAI agents with Ollama (sequential and domain examples).
    Run Hugging Face transformers locally; manage cache and disk use.
    Try TTS and text-to-video scripts where GPU allows.
    Run Unsloth inference (e.g. SmolLM2), inspect tokenizer and model behavior.
    Fine-tune with Unsloth + QLoRA; watch validation for forgetting.
    Test base vs fine-tuned models; merge LoRA adapters.
    Export to Ollama (Modelfile, quantization tradeoffs).
    Capstone: local LLM coding assistant (editor, chat, diffs, run code, shell, optional web research, planning, persistence).

    What's Included in This Course?

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