Synopsis
Ollama AI: A Hands-On Guide to Running, Customizing, and Deploying AI Models Offline
Build Your Own Local AI—No Cloud, No API Keys, No Limits
What if you could run powerful AI models like LLaMA, Mistral, Phi, Qwen, Gemma—or even your own custom models—directly on your laptop or PC? No monthly subscriptions. No internet connection. No data leaving your machine.
That’s exactly what Ollama makes possible—and this book is your complete roadmap.
What This Book Covers
This is not a theoretical AI book. It is a practical engineer’s manual for building fully offline AI systems using Ollama.
You’ll learn step-by-step how to:
- Install and optimize Ollama on macOS, Windows (WSL2), and Linux.
- Run open-source AI models locally including LLaMA 2/3, Mistral, Qwen, Phi, CodeLLaMA, and Gemma.
- Understand GGUF formats, quantization (Q2–Q8), VRAM usage, and GPU vs CPU performance.
- Customize AI behavior using Modelfiles, system prompts, templates, and LoRA adapters.
- Build real applications using Python, JavaScript, FastAPI, and REST APIs.
- Create offline RAG (Retrieval-Augmented Generation) apps using PDFs, FAISS, and Chroma.
- Deploy local AI services, enable multi-user access, add authentication, rate limiting, and systemd auto-start.
- Optimize speed and performance—tokens/sec, batching, caching, model versioning, VRAM budgeting.
- Troubleshoot common issues: CUDA errors, model crashes, API failures, missing GPU drivers.
What You’ll Build by the End
Local ChatGPT-style console
Python/JS AI apps connected to Ollama API
Custom LLM with a unique personality using Modelfile
PDF Document Q&A system (Fully offline RAG)
FastAPI-based AI server with streaming responses
A deployable local AI infrastructure you control entirely
Who Is This Book For?
✔ Developers & AI Engineers who want full control over LLMs
✔ Makers building AI apps without paying for OpenAI/Claude APIs
✔ Privacy-focused professionals working offline or in air-gapped systems
✔ Students and researchers who want to understand AI at a system level
✔ Enterprise teams deploying secure on-prem AI solutions
Why This Book Is Different
No fluff. No generic AI theory.
100% hands-on, command-line driven, real projects.
Covers future trends like Ollama plugins, MCP agents, local AI marketplaces.
Written in simple, developer-friendly language with clear examples.
Bring AI back to your machine. Own the model. Own the data. Own the future.
Start building today with Ollama AI: A Hands-On Guide to Running, Customizing, and Deploying AI Models Offline.
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Paperback. Condition: new. Paperback. Ollama AI: A Hands-On Guide to Running, Customizing, and Deploying AI Models OfflineBuild Your Own Local AI-No Cloud, No API Keys, No LimitsWhat if you could run powerful AI models like LLaMA, Mistral, Phi, Qwen, Gemma-or even your own custom models-directly on your laptop or PC? No monthly subscriptions. No internet connection. No data leaving your machine.That's exactly what Ollama makes possible-and this book is your complete roadmap.What This Book CoversThis is not a theoretical AI book. It is a practical engineer's manual for building fully offline AI systems using Ollama.You'll learn step-by-step how to: Install and optimize Ollama on macOS, Windows (WSL2), and Linux.Run open-source AI models locally including LLaMA 2/3, Mistral, Qwen, Phi, CodeLLaMA, and Gemma.Understand GGUF formats, quantization (Q2-Q8), VRAM usage, and GPU vs CPU performance.Customize AI behavior using Modelfiles, system prompts, templates, and LoRA adapters.Build real applications using Python, JavaScript, FastAPI, and REST APIs.Create offline RAG (Retrieval-Augmented Generation) apps using PDFs, FAISS, and Chroma.Deploy local AI services, enable multi-user access, add authentication, rate limiting, and systemd auto-start.Optimize speed and performance-tokens/sec, batching, caching, model versioning, VRAM budgeting.Troubleshoot common issues: CUDA errors, model crashes, API failures, missing GPU drivers.What You'll Build by the EndLocal ChatGPT-style consolePython/JS AI apps connected to Ollama APICustom LLM with a unique personality using ModelfilePDF Document Q&A system (Fully offline RAG)FastAPI-based AI server with streaming responsesA deployable local AI infrastructure you control entirelyWho Is This Book For? Developers & AI Engineers who want full control over LLMs Makers building AI apps without paying for OpenAI/Claude APIs Privacy-focused professionals working offline or in air-gapped systems Students and researchers who want to understand AI at a system level Enterprise teams deploying secure on-prem AI solutionsWhy This Book Is DifferentNo fluff. No generic AI theory.100% hands-on, command-line driven, real projects.Covers future trends like Ollama plugins, MCP agents, local AI marketplaces.Written in simple, developer-friendly language with clear examples.Bring AI back to your machine. Own the model. Own the data. Own the future.Start building today with Ollama AI: A Hands-On Guide to Running, Customizing, and Deploying AI Models Offline. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798271170546
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Paperback. Condition: new. Paperback. Ollama AI: A Hands-On Guide to Running, Customizing, and Deploying AI Models OfflineBuild Your Own Local AI-No Cloud, No API Keys, No LimitsWhat if you could run powerful AI models like LLaMA, Mistral, Phi, Qwen, Gemma-or even your own custom models-directly on your laptop or PC? No monthly subscriptions. No internet connection. No data leaving your machine.That's exactly what Ollama makes possible-and this book is your complete roadmap.What This Book CoversThis is not a theoretical AI book. It is a practical engineer's manual for building fully offline AI systems using Ollama.You'll learn step-by-step how to: Install and optimize Ollama on macOS, Windows (WSL2), and Linux.Run open-source AI models locally including LLaMA 2/3, Mistral, Qwen, Phi, CodeLLaMA, and Gemma.Understand GGUF formats, quantization (Q2-Q8), VRAM usage, and GPU vs CPU performance.Customize AI behavior using Modelfiles, system prompts, templates, and LoRA adapters.Build real applications using Python, JavaScript, FastAPI, and REST APIs.Create offline RAG (Retrieval-Augmented Generation) apps using PDFs, FAISS, and Chroma.Deploy local AI services, enable multi-user access, add authentication, rate limiting, and systemd auto-start.Optimize speed and performance-tokens/sec, batching, caching, model versioning, VRAM budgeting.Troubleshoot common issues: CUDA errors, model crashes, API failures, missing GPU drivers.What You'll Build by the EndLocal ChatGPT-style consolePython/JS AI apps connected to Ollama APICustom LLM with a unique personality using ModelfilePDF Document Q&A system (Fully offline RAG)FastAPI-based AI server with streaming responsesA deployable local AI infrastructure you control entirelyWho Is This Book For? Developers & AI Engineers who want full control over LLMs Makers building AI apps without paying for OpenAI/Claude APIs Privacy-focused professionals working offline or in air-gapped systems Students and researchers who want to understand AI at a system level Enterprise teams deploying secure on-prem AI solutionsWhy This Book Is DifferentNo fluff. No generic AI theory.100% hands-on, command-line driven, real projects.Covers future trends like Ollama plugins, MCP agents, local AI marketplaces.Written in simple, developer-friendly language with clear examples.Bring AI back to your machine. Own the model. Own the data. Own the future.Start building today with Ollama AI: A Hands-On Guide to Running, Customizing, and Deploying AI Models Offline. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798271170546
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