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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-development-with-qwen-ollama-build-ai-apps-locally/
课程评论：没有评论
课程名称：本地构建 AI 应用的 Qwen 2.5 与 Ollama 实践课程 课程概述：您准备好在本地构建 AI 驱动的应用程序，而无需依赖云端 API 吗？本课程将带您通过动手实践学习如何使用 Qwen 2.5 和 Ollama 这两款强大的工具，在本地开发、优化和部署 AI 应用。随着开放源码 AI 模型的兴起，开发者有了创建能够处理文本、生成内容和自动化任务的智能应用的机会，同时保护数据的私密性和安全性。在本课程中，您将学习如何安装、配置和集成 Qwen 2.5 与 Ollama，构建基于 FastAPI 的 AI 后端，以及开发实际的 AI 解决方案。 为什么学习 Qwen 2.5 和 Ollama？Qwen 2.5 是阿里云开发的一款强大的大语言模型（LLM），优化了自然语言处理（NLP）、文本生成、推理和代码辅助。与传统的云端模型（如 GPT-4）不同，Qwen 2.5 可以在本地运行，非常适合隐私敏感的 AI 应用。Ollama 是一款 AI 模型管理工具，允许开发者高效、低延迟地在本地运行和部署 LLM。通过 Ollama，您可以拉取模型、在应用中运行，且针对特定任务进行微调，而无需昂贵的云资源。 该课程强调实践，旨在帮助您将 AI 应用于实际项目中。不论您想构建 AI 驱动的聊天界面、文档摘要工具、代码助手还是智能自动化工具，本课程将为您提供所需的技能。 课程亮点： - 通过实际项目进行动手 AI 开发 - 无需依赖云 API，保护 AI 应用的私密性与安全性 - 学习适应未来开放源码 LLM 的技能 - 借助 Ollama 的本地执行实现快速高效的 AI 部署 通过本课程的学习，您将能在自己的机器上运行 AI 驱动的应用，深入理解 LLM，并掌握未来开发 AI 解决方案的技能。您准备好开始构建了吗？
Are you ready to build AI-powered applications locally without relying on cloud-based APIs? This hands-on course will teach you how to develop, optimize, and deploy AI applications using Qwen 2.5 and Ollama, two powerful tools for running large language models (LLMs) on your local machine.With the rise of open-source AI models, developers now have the opportunity to create intelligent applications that process text, generate content, and automate tasks-all while keeping data private and secure. In this course, you'll learn how to install, configure, and integrate Qwen 2.5 with Ollama, build FastAPI-based AI backends, and develop real-world AI solutions.Why Learn Qwen 2.5 and Ollama?Qwen 2.5 is a powerful large language model (LLM) developed by Alibaba Cloud, optimized for natural language processing (NLP), text generation, reasoning, and code assistance. Unlike traditional cloud-based models like GPT-4, Qwen 2.5 can run locally, making it ideal for privacy-sensitive AI applications.Ollama is an AI model management tool that allows developers to run and deploy LLMs locally with high efficiency and low latency. With Ollama, you can pull models, run them in your applications, and fine-tune them for specific tasks-all without the need for expensive cloud resources.This course is practical and hands-on, designed to help you apply AI in real-world projects. Whether you want to build AI-powered chat interfaces, document summarizers, code assistants, or intelligent automation tools, this course will equip you with the necessary skills.Why Take This Course?- Hands-on AI development with real-world projects- No reliance on cloud APIs-keep your AI applications private & secure- Future-proof skills for working with open-source LLMs- Fast, efficient AI deployment with Ollama's local executionBy the end of this course, you'll have AI-powered applications running on your machine, a deep understanding of LLMs, and the skills to develop future AI solutions. Are you ready to start building?
