Automated Machine Learning for Beginners (Google & Apple)

所在平台: Udemy

课程主页: https://www.udemy.com/course/automl-for-ai-powered-professionals/

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**课程名称:** 自动化机器学习入门(Google & Apple) **课程概述:** 本课程旨在带领初学者踏入人工智能(AI)领域,专注于自动化机器学习(AutoML)。您将全面了解构建机器学习模型的一站式流程,无需深入研究复杂的数学公式和Python代码,而是专注于核心概念。 **课程亮点:** * **名师设计,认知学习:** 由AI领域博士、CEO Richard Shinn博士亲自设计课程架构,采用“先举例,后语义”的双重学习方法,帮助学员建立符合实际情况的认知技能。 * **实操导向,即学即用:** 从第一天起,您将通过实际操作学习。在讲师的指导下构建机器学习模型,最终目标是创建一款能运行的AI驱动的移动应用程序。课程秉承“我无法创造,我就无法理解”的原则,注重实践知识的传授。 * **深度学习,巩固技能:** 每项实验都配有相应的课后作业,帮助您巩固课程中学到的技能,确保深入理解所有学习主题。 * **权威认证,职业启航:** 成功完成课程后,您将获得来自领先AI公司颁发的官方结业证书,为您的AI职业生涯开个好头。 * **项目实践,创意实现:** 您将构思一个利用机器学习的AI产品,并构建一个简单的低保真原型。之后,运用AutoML技术为您的创意构建定制化的机器学习模型。 * **一对一指导,全程支持:** 课程提供实时的一对一指导,您的学习问题可以在AI School社区或Discord频道中随时向讲师寻求帮助。 * **社区互助,拓展人脉:** 加入活跃的AISchool社区和Discord频道,与同学交流互动,分享学习经验,并与讲师和同学们共同解答学习疑问。 * **进度评估,查漏补缺:** 通过课程中的小测验,您可以随时检验自己的学习进度和理解程度,及时巩固核心概念。 * **职业网络,持续发展:** 与志同道合的学习者保持联系,拓展AI领域的专业人脉。课程还为成功毕业的学员提供专属的校友渠道。 **课程结构(4大主题):** 1. **自动化机器学习介绍:** 探索AutoML如何无需编码即可赋能任何人构建机器学习模型,熟悉解决机器学习问题的5步流程,并在30分钟内构建您的首个AI智能手机应用。 2. **Vision AI(Google AutoML & Apple CreateML):** 学习AI如何理解数字图像,训练能够准确识别和分类物体的模型。 3. **NLP & Tables(Google AutoML & Apple CreateML):** 学习AI如何像人类一样理解文本和语音。利用社交媒体帖子和新闻文章训练情感和内容分类模型。学习AI如何分析包含多个变量的数据来预测房价。 4. **AI应用部署:** 轻松将模型部署到设备上,并在真实环境中进行测试。

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课程详情

Begin your AI journey with Automated Machine Learning!This course focuses on giving you the big picture of Artificial Intelligence: the streamlined process of creating AI machine learning models. Leave the mathematical equations and Python coding aside and concentrate on what really matters!Course Architecture guarantees Best Cognitive Learning OutcomesRichard Shinn, PhD in AI and CEO of AIBrain, is the Chief Architect behind this course. He designed the entire course structure to help learners acquire cognitive skills; learning by examples first, then learning based on denotational semantics and operational semantics. This two-step approach is particularly useful when we deal with the complexity of real-world problems.Learn Hands-OnFrom day 1, you will learn hands-on skills. You will follow our lab instructors to build Machine Learning models with AutoML. By the end of the course, you will be able to build a working AI-powered mobile app. Following Richard Feynman's principle "What I cannot create, I do not understand" we teach practical knowledge from day one. Deepen your Skills To make sure that you will get a deep understanding of all the topics, you will have practical homework assignments accompanying all labs. Each lab has its own homework assignments to help you deepen the skills learned during the course. Gain a Certificate from a Leading AI Company Kick-start your career in AI with an official certificate from a leading AI company! Upon completion of the course, you will be awarded with a verified certificate of completion. Complete a Term Project: Build your own ML Model As part of this course, you will ideate your own AI-powered product that leverages Machine Learning. You will build a simple low-fidelity prototype of an AI-powered application before building a custom Machine Learning model with AutoML for your idea. Get 1-1 Advice and Guidance We have lab instructors available for 1-on-1 assistance in case you need help with your homework assignments. Reach out to our lab instructors any time in our AI School Community. Join the AI School Community Use our vivid AISchool Community and Discord channel to discuss with your peers and leverage the power of community. Share your questions and answers with lab instructors and fellow students. Evaluate your Progress During your journey, you will always have the possibility to evaluate your progress and understanding of the materials through quizzes. This will help you to constantly measure your success and help to check your understanding of core concepts. Build your Professional Network Stay in touch with your peers and leverage a professional network of like-minded AI practitioners. In our community, we provide a dedicated alumni channel for all successful graduates of our course. The course takes you through 4 carefully structured topics.Topic 1Introduction to Automated Machine LearningFind out how AutoML is transforming the data science game by enabling anyone to build machine learning models without a single line of code. Familiarize yourself with the 5-Step ML Pipeline to solve any Machine Learning problem, before building your very first AI-powered smartphone application in 30 minutes.Topic 2Vision AI with Google AutoML & Apple CreateMLAI can help computers to interpret and understand digital images. In this segment, you will train models that can accurately locate and classify objects.Topic 3NLP & Tables with Google AutoML & Apple CreateMLAI can help computers understand text and spoken words just like humans. Use SNS posts and new articles to train models to classify emotion and content.AI can analyze patterns across data with numerous variables. Use tabular data to predict house prices.Topic 4Deploy AI in an ApplicationEasily deploy models on to your device and test it in real world settings.

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