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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certified-cloud-ai-solutions-architect-ccasa-aimloverview/
课程评论：没有评论
课程名称：认证云AI解决方案架构师(CCASA) AI/ML概述 课程概述： 准备好在云中架构未来的AI了吗？加入我们的认证云AI解决方案架构师(CCASA)，这是一个充满活力和实践的学习旅程，专注于人工智能和机器学习的核心内容，特别适用于云环境的强大和可扩展性。让我们抛开枯燥的理论，深入探索AI的神奇世界，揭示AI、ML和深度学习之间的细微差别。 在课程中，您将探索各种实际应用，从革命性医疗到金融转型，深入理解这些技术如何重塑行业。想知道机器是如何学习的吗？我们将揭示监督学习、无监督学习和强化学习的奥秘，帮助您掌握选择适合任何挑战的学习方法。 随着AI领域的快速发展，我们将引导您了解前沿概念，如生成式AI、预测性AI和代理AI的潜力。但这不仅仅是了解“是什么”，更重要的是理解“为什么”。您将学习如何清晰阐述AI/ML解决方案的价值，识别它们给企业带来的具体好处，同时探讨潜在的挑战及数据的重要性。 最后，我们将浏览熙熙攘攘的AI/ML生态系统，识别主要参与者，熟悉必备工具和平台，确保您始终掌握最新趋势和突破性进展。 CCASA不仅是一门课程，它是您成为炙手可热的云AI架构师的发射台，使您能够设计和实施智能解决方案，推动创新，转型企业。您准备好逐步构建未来，打造智能云解决方案了吗？ 学习成果： 完成课程后，学习者将能够： 1. 核心概念： - 定义AI、ML和深度学习及其主要区别。 - 解释各行业中常见的AI/ML应用案例。 - 描述不同类型的机器学习（监督学习、无监督学习、强化学习）。 - 定义并区分生成式AI、预测性AI和代理AI等。 2. AI/ML价值主张： - 阐述AI/ML解决方案对企业的好处。 - 识别AI/ML应用中的潜在挑战和局限性。 - 解释数据在AI/ML解决方案中的重要性。 3. AI/ML生态环境： - 识别AI/ML市场中的关键参与者（云服务提供商、技术供应商等）。 - 认知标准AI/ML工具、平台和框架。 - 了解AI/ML中的新兴趋势和进展。 适合人群： - 在解决方案架构或售前角色中的任何人，或希望提高AI/ML意识的人。 - 具有一年云计算经验的人员。 - 希望证明自己在AI/ML重点技术云解决方案中具备能力的人，建议考虑获得CCASA认证。 - 想了解AI/ML云计算架构、解决方案与成本管理的人员。
(Beginner/Intermediate) Ready to architect the future with AI in the cloud? Buckle up for Certified Cloud AI Solutions Architect (CCASA), a dynamic and hands-on journey into the core of artificial intelligence and machine learning, specifically tailored for the power and scalability of cloud environments.Forget dry theory - we'll dive headfirst into the exciting world of AI, demystifying the nuances between AI, ML, and the magic of deep learning.You'll explore a universe of real-world applications, from revolutionizing healthcare to transforming finance and beyond, gaining a practical understanding of how these technologies are reshaping industries.Ever wondered how machines learn? We'll unravel the mysteries of supervised, unsupervised, and reinforcement learning, equipping you with the knowledge to choose the right approach for any challenge. And as the AI landscape evolves at lightning speed, we'll chart the course through cutting-edge concepts like Generative AI, Predictive AI, and the intriguing potential of Agentic AI.But it's not just about the "what" - it's about the "why." You'll learn to articulate the compelling value proposition of AI/ML solutions, identifying the tangible benefits they bring to businesses while also navigating the potential pitfalls and the critical role of data.Finally, we'll navigate the bustling AI/ML ecosystem, pinpointing the key players, familiarizing you with essential tools and platforms, and ensuring you stay ahead of the curve with the latest trends and breakthroughs.CCASA isn't just a course; it's your launchpad to becoming a sought-after cloud AI architect, capable of designing and implementing intelligent solutions that drive innovation and transform businesses. Are you ready to build the future, one intelligent cloud solution at a time?Note: This course is Course One of Three Course for the CCASA certification.Course 1- Domain 1 - AI/ML FundamentalsCourse 2 - Domain 2 - Solutions Development and ProposalsCourse 3 - Domain 3 - Customer Relationship ManagementExpected Learning OutcomesAt the end of the course, the learners will be able to be acquainted with the following.1.1 Core Concepts:· Define AI, ML, and Deep Learning (DL) and their key differences.· Explain common AI/ML use cases and applications across various industries.· Describe different types of machine learning (supervised, unsupervised, reinforcement learning).· Define and differentiate between Generative AI, Predictive AI, Agentic AI, and others.1.2 AI/ML Value Proposition:· Articulate the benefits of AI/ML solutions for businesses.· Identify potential challenges and limitations of AI/ML adoption.· Explain the importance of data in AI/ML solutions.1.3 AI/ML Landscape:· Identify key players in the AI/ML market (cloud providers, technology vendors, etc.).· Recognize standard AI/ML tools, platforms, and frameworks.· Stay updated on emerging trends and advancements in AI/ML.Who should take this course and certification exam.· Anyone that is in a Solutions Architect or presales role or who may want to become AI/ML Aware.· Anyone that has 1 year of cloud computing experience.· Anyone that wants to prove they are competent in AI/ML focused technical cloud solutions should consider obtaining the CCASA certification.· Anyone who wants to learn more about, AI/ML cloud computing architecture, solutioning and cost management.
