Ollama in Action - Run Private, Multimodal AI on Your Own Machine: Install Local LLMs, Call Them from Python, and Build a Multimodal Image App with Ollama ... Coding - Build Real Software with AI)

Local LLMs used to be painful to set up. Ollama makes them simple. In this hands-on guide you’ll install Ollama, run and manage models from the command line, call them from Python, and build a real multimodal application that reads images and writes structured data, all running entirely on your own hardware.

What you’ll build and learn:

• Understand what local LLMs are and the real trade-offs of running them yourself
• Install Ollama on macOS, Windows, or WSL and verify it works
• Use the core commands to pull, run, list, switch, and delete models
• Call Ollama from Python and send images to a multimodal model
• Build a stateful chatbot that remembers the conversation
• Create a project that catalogs a folder of images into a CSV with a local LLM
• Choose the right model for your hardware and performance needs

Who this book is for:
Python users curious about local AI who want privacy, lower cost, and the freedom to experiment. You don’t need prior experience building AI apps.

Why this book works:
This is a clear, step-by-step guide from the team at Zenva, whose courses have taught millions of people to code. Your download includes the complete project files so you can follow along and adapt the workflow to your own use cases.

What learners say about Zenva:

⭐⭐⭐⭐⭐ “Excellent, coherent courses with detailed explanations of difficult topics!” — James W.

⭐⭐⭐⭐⭐ “I was able not only to build it, but better yet to understand how it works and how to go further into my own projects. Time well spent.” — Allen D.

⭐⭐⭐⭐⭐ “I’m actually learning how to code, and understanding the process as well.” — Daniel J.

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