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所在平台: Udemy |
课程主页: https://www.udemy.com/course/genai-open-source/
课程评论：没有评论
课程名称：在桌面和本地环境上部署生成性AI 课程概述： 本课程旨在帮助学员充分发挥生成性AI的潜力，适合各个级别的用户，从初学者到高级用户均可参与。无论您想在桌面上部署开源AI模型，还是将其集成到公司的本地数据中心，本课程都提供所需的专业知识和实践技能。 学习内容： 1. 理解开源模型：深入了解开源生成性AI模型，学习如何有效定制和使用这些模型。 2. 本地部署：逐步学习如何在桌面上使用LM Studio设置和运行这些模型，并扩展到使用Ollama的本地数据中心。 3. 隐私和成本效益：探讨本地部署如何提升隐私性，因为您的数据无需发送到外部服务。同时了解本地运行模型的成本优势，避免使用像OpenAI这样的云服务所产生的费用。 课程结构： - 生成性AI和开源模型介绍：熟悉AI的基本概念及开源模型的优势。 - 桌面上的本地部署：实践教程帮助您使用LM Studio在桌面上设置和部署您的第一个AI模型。 - 扩展到本地数据中心：使用Ollama进行数据中心环境的AI模型部署和管理的高级技术，包括模型加载、测试和API集成。 课程特色： - 实践学习：每个模块都有实际练习和真实项目，帮助您立即应用所学知识。 - 隐私保护：学习如何通过本地运行AI保持数据隐私，适合处理敏感或专有信息。 - 成本效益：通过在内部管理AI部署来降低持续运营成本，无需依赖外部云服务。 适合人群： 本课程适合所有希望在自己基础设施中利用生成性AI力量的人士。无论您是开发者、IT专业人士，还是对AI技术感兴趣的爱好者，都能在此课程中获得宝贵的见解和技能，助力您在该领域的进步。 基础要求： 本课程无需正式的前置课程，但对ChatGPT或其他AI技术相关概念的了解将有所帮助。 立即报名： 今天就加入我们，开启您高效、安全部署生成性AI模型的旅程，掌握您的AI能力！
Unlock the full potential of generative AI with our comprehensive Udemy course designed for all levels, from beginners to advanced users. Whether you're interested in deploying open-source AI models on your desktop or integrating them into your company's on-premises data centers, this course offers the expertise and practical skills you need.What You Will Learn:Understanding Open Source Models: Dive into the world of open-source generative AI models and discover how they can be customized and utilized effectively.Local Deployment: Learn step-by-step how to set up and run these models locally on your desktop with LM Studio and scale up to an on-premises data center using Ollama.Privacy and Cost Efficiency: Explore how local deployment allows for greater privacy, as your data does not need to be sent to external services. Understand the cost benefits of running models locally, avoiding the fees associated with cloud services like OpenAI.Course Structure:Introduction to Generative AI and Open Source Models: Familiarize yourself with the basic concepts of AI and the advantages of open-source models.Local Deployment on Desktop: Hands-on tutorials to set up and deploy your first AI model using LM Studio on your desktop.Scaling to On-Premises Data Centers: Advanced techniques for deploying and managing AI models in a data center environment using Ollama, including loading models, testing, and API integration.Key Features:Hands-On Learning: Each section includes practical exercises and real-world projects to help you apply what you've learned immediately.Privacy Focused: Learn how to keep your data private by running AI locally-ideal for handling sensitive or proprietary information.Cost-Effective: Reduce ongoing operational costs by managing AI deployments in-house without relying on external cloud services.Who Should Enroll:This course is ideal for anyone interested in leveraging the power of generative AI within their own infrastructure. Whether you're a developer, IT professional, or a curious enthusiast, you'll find valuable insights and skills to help you advance in the field.Prerequisites:No formal prerequisites are required, but familiarity with concepts related to ChatGPT or other AI technologies will be beneficial.Enroll Now:Join us today to begin your journey into the efficient and private deployment of generative AI models, and take control of your AI capabilities!
