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所在平台: Udemy |
课程主页: https://www.udemy.com/course/becoming-an-ai-engineer-with-llm-application-development/
课程评论：没有评论
课程名称：成为 AI 工程师与 LLM 应用开发 课程概述： 《成为 AI 工程师与 LLM 应用开发》是一门简洁指南，旨在帮助 AI 工程师开发和部署生成式 AI 应用。生成式 AI 是一种变革性技术，使我们能够在没有高昂前期投资的情况下，设计和部署各种 AI 应用，如聊天机器人和其他自动化工作流。因此，越来越多的公司，甚至不属于科技领域的金融和医疗行业，也在尝试采用如 ChatGPT 的 AI 应用。这门课程将教你如何帮助这些组织开发和部署有价值且具成本效益的 AI 应用，使用各类开源或闭源模型。如果你希望参与到这场革命中来，这门课程就是你学习成为现代 AI 工程师的最佳选择。 课程内容： - 第一章：生成式 AI 介绍 - 第二章：环境搭建 / 生成式 AI 平台巡览 - 第三章：为你的生成式 AI 应用开发 API 端点 - 第四章：与前端界面一起开发和部署 - 第五章：通过自动化测试和部署管道简化 API 交付 - 第六章：课程总结 / 期末考试 通过这门课程，你将获得： 1. 随需应变的讲座视频 2. 更新最新趋势的补充学习资源 3. 帮助你快速启动 AI 工程师之旅的开源代码库 4. 各种在线测验以加深对课程内容和技能的理解 5. 与讲师的问答环节 6. 带有实践的编程测试 讲师介绍： Mark 是一位企业家，他在伦敦大学学习计算机科学，现居台湾。他创立了 Mindify AI，一家旨在帮助软件工程师快速学习新代码库的公司。Mark 还参与 AI 和量子 AI 的研究，致力于开发包括为 Google 量子应用 XPRIZE 设计的公用事业规模量子生成 AI 模型的创新项目。此外，Mark 还创建了 Notion 模板和 Udemy 课程，增加副收入。最近，他在算法开发、研究项目管理、创业和推动 Mindify AI 的业务方面取得了显著成就，致力于使其产品盈利并促进个人研究和商业发展。 此课程内容丰富，有助于你熟悉设计、开发和部署 AI 应用程序所需的概念和技能。
Becoming an AI Engineer with LLM Application Development A concise guide for AI engineers to develop and deploy generative AI applications What is generative AI? Why you should be a part of this revolution?Generative AI is a truly transformative technology that allows us to engineer and deploy various AI applications like chatbots and other automation workflows without costly upfront investments. Therefore, there is an emerging trend that many companies, even if not within the technology domains like finance and health care, are trying to adopt AI applications like ChatGPT. Here is what an AI engineer could do to help these organizations develop and deploy a valuable and cost-effective AI application using various open or closed-source models. If you want to be a part of this revolution, this course is right for you to learn the fundamental concepts and practical skills to become an AI engineer nowadays.What can I learn from this course?- Chapter 1 - Introduction to Generative AI- Chapter 2 - Environment Set-up / Generative AI Platform Tours- Chapter 3 - Develop your API endpoint for your generative AI applications- Chapter 4 - Develop and Deploy with your Front-end Interface- Chapter 5 - Streamline API Delivery with Automated Test and Deployment Pipeline- Chapter 6 - Course Summary / Final ExamWhat can I gain from this course?This course has a wide range of materials to help you become familiar with the concepts and skills to design, develop, and deploy an AI application; those resources include:1. On-demand lecture videos2. Supplement learning resources to keep up to date with the latest trend3. Open-source codebase to help you kick-start your AI engineer journey4. Various online quizzes to help you familiarize yourself with the contents and the skills5. Q & A with the instructor6. Programming test with hands-on online practiceWho is my instructor?Mark is an entrepreneur and computer science student at the University of London who lives in Taiwan. He founded Mindify AI, a company aimed at helping software engineers learn new codebases faster with its flagship product, Mindify Chat. Mark is also involved in AI and quantum AI research, working on innovative projects, including utility-scale quantum generative AI models for the Google Quantum Application XPRIZE. In addition to his business ventures, Mark creates Notion templates and Udemy courses, generating side income. Mark's recent achievements include developing algorithms, leading research projects, starting a new company, and gaining traction for Mindify AI. He is dedicated to making his products profitable and advancing his research and business efforts.
