Explore local AI model deployment with Ollama and Python to build dynamic multi-modal apps. From setup and API calls to chatbots and image logging, this course guides you step by step through practical hands-on lessons. Gain offline AI skills and implement a full project by course end.
This course starts by introducing Ollama and local Large Language Models, covering their advantages, limitations, and installation. You'll learn the basics of using Ollama, configuring models like LLaVA and Llama 2, and running text requests efficiently. Initial lessons focus on setup and foundational Python integration. Next, you explore multi-modal API calls, chat APIs, and building interactive chatbots. Practical exercises teach you to log image data, handle requests, and combine text and image inputs for AI projects. Each video lesson, from introduction to project walkthrough, builds on prior concepts for a smooth learning experience. Finally, you consolidate your skills in a complete project integrating chatbots and multi-modal data handling. By applying what you've learned, you gain confidence in offline AI workflows, API usage, and Python implementation. By the end of this course, you'll have a functional multi-modal AI project demonstrating all key techniques. This course is ideal for Python developers, AI enthusiasts, and hobbyists seeking hands-on experience with local LLMs. Participants should have basic to intermediate Python skills and a desire to explore offline AI workflows, chatbots, and multi-modal applications. Anyone interested in secure, privacy-focused AI projects will benefit The course uses a progressive, hands-on methodology, starting with Ollama setup and model configuration, moving through Python-based API calls, multi-modal integration, and chatbot creation. Each lesson combines instruction with practical exercises, culminating in a fully functional offline AI project. This course is based on Build Multi-Modal AI Apps with Ollama, by Zenva Academy. Copyright © 2026 Zenva Academy All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.
