{"product_id":"build-your-own-llm-the-complete-beginner-to-expert-blueprint-2026-learn-to-build-train-fine-tune-deploy-large-language-models","title":"Build Your Own LLM: The Complete Beginner-to-Expert Blueprint (2026) — Learn to Build, Train, Fine-Tune \u0026 Deploy Large Language Models","description":"\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003eBuild Your Own LLM\u003c\/strong\u003e is a complete, hands-on roadmap for going from zero to building, training, fine-tuning, and deploying real large language models — no prior AI background required.\u003c\/p\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003eAcross 425 pages and 50 chapters, you'll move step by step from first principles (math, Python, neural networks) through the core architecture that powers modern AI (tokenization, embeddings, attention, transformers) into real hands-on builds (your own tokenizer, a mini transformer, a full training loop) and finally into professional-grade skills: fine-tuning open models like Llama, Mistral, Gemma, Qwen, and DeepSeek, building RAG pipelines and AI agents, and deploying production systems with Docker, cloud infrastructure, and GPU optimization.\u003c\/p\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003eEvery chapter includes learning objectives, a hands-on coding project, a chapter summary, review questions, practical exercises, and a mini challenge — built for people who learn by doing.\u003c\/p\u003e\n\u003ch3 dir=\"ltr\" class=\"text-text-100 mt-2 -mb-1 text-base font-bold\"\u003eWhat's inside\u003c\/h3\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003ePart 1 — Foundations\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 1: Welcome to the Age of AI\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 2: History of Language Models\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 3: Artificial Intelligence Fundamentals\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 4: Mathematics for LLMs\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 5: Python for AI Engineers\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 6: Neural Networks\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 7: Tokenization\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 8: Embeddings\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 9: Attention Mechanisms\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 10: Transformer Architecture\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 11: GPT Models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003ePart 2 — Build From Scratch\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 12: Environment Setup\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 13: PyTorch\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 14: Build a Tokenizer\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 15: Build a Mini Transformer\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 16: Training Loop\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 17: Train Your First Language Model\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 18: Text Generation\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 19: Evaluation\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 20: Hugging Face\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003ePart 3 — Working With Real Models\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 21: Llama\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 22: Mistral\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 23: Gemma\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 24: Qwen\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 25: DeepSeek\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 26: LoRA\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 27: QLoRA\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 28: PEFT\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 29: Dataset Engineering\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 30: ChatGPT-Style Assistant\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003ePart 4 — Retrieval, Agents \u0026amp; Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 31: Retrieval-Augmented Generation (RAG)\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 32: Vector Databases\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 33: AI Agents\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 34: Memory Systems\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 35: Tool Calling\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 36: Function Calling\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 37: FastAPI\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 38: Build a Modern AI Web App\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003ePart 5 — Performance \u0026amp; Deployment\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 39: GPU Optimization\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 40: Quantization\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 41: vLLM\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 42: TensorRT\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 43: ONNX Runtime\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 44: Docker\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 45: Cloud Deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003e\u003cstrong\u003ePart 6 — Turning It Into a Business\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 46: Build AI SaaS Products\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 47: Selling AI APIs\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 48: Building an AI Startup\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 49: AI Security, Safety \u0026amp; Responsible AI\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCh 50: The Future of Large Language Models\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003ePlus: Final Bonus Projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 dir=\"ltr\" class=\"text-text-100 mt-2 -mb-1 text-base font-bold\"\u003eFormat\u003c\/h3\u003e\n\u003cul dir=\"ltr\" class=\"[li_\u0026amp;]:mb-0 [li_\u0026amp;]:mt-1 [li_\u0026amp;]:gap-1 [\u0026amp;:not(:last-child)_ul]:pb-1 [\u0026amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1\"\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003e425 pages\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eDigital download (PDF)\u003c\/li\u003e\n\u003cli class=\"font-claude-response-body whitespace-normal break-words pl-2\"\u003eCode-along projects in every chapter\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 dir=\"ltr\" class=\"text-text-100 mt-2 -mb-1 text-base font-bold\"\u003eWho it's for\u003c\/h3\u003e\n\u003cp class=\"font-claude-response-body break-words whitespace-normal\" dir=\"ltr\"\u003eDevelopers, students, and self-taught engineers who want a structured, project-based path into AI\/LLM engineering — from someone who's never trained a model to someone who can build, fine-tune, and ship one.\u003c\/p\u003e","brand":"BERG CODEX","offers":[{"title":"Default Title","offer_id":53123461513505,"sku":null,"price":49.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0952\/8685\/3921\/files\/ChatGPTImage30juil.2026_18_00_35.png?v=1785427406","url":"https:\/\/www.thebergcodex.shop\/products\/build-your-own-llm-the-complete-beginner-to-expert-blueprint-2026-learn-to-build-train-fine-tune-deploy-large-language-models","provider":"THE BERG CODEX","version":"1.0","type":"link"}