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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-tests-aws-certified-ai-practitioner-exam-aif-c01/
课程评论：没有评论
课程名称：实践测试：AWS认证AI从业者考试（AIF-C01） 概述：该课程是“AWS认证AI从业者（AIF-C01）考试准备指南”中的第六步。实践考试旨在涵盖认证考试的五个关键内容领域，为您提供针对性的练习和准备情况的洞察。 1. **领域1：AI和ML基础（占得分内容的20%）** 专注于人工智能（AI）和机器学习（ML）的基本概念，包括常见术语、学习类型和AWS AI/ML服务生态系统。 2. **领域2：生成性AI基础（占得分内容的24%）** 涵盖生成性AI的基本知识，包括基础概念、应用以及AWS服务如SageMaker和Bedrock如何支持生成性AI的应用案例。 3. **领域3：基础模型的应用（占得分内容的28%）** 准备与基础模型实现相关的问题，包括转移学习、预训练模型的理解及其在AWS服务（如SageMaker JumpStart）中的部署。 4. **领域4：负责任的AI指南（占得分内容的14%）** 测试您对伦理AI、公平性、透明性和偏差缓解策略的理解，使用工具如SageMaker Clarify和AWS环境中的负责任AI最佳实践。 5. **领域5：AI解决方案的安全性、合规性和治理（占得分内容的14%）** 检查您对在AWS中保护AI/ML解决方案、满足行业标准的合规管理及治理最佳实践（包括IAM、加密和监控）的知识。 **关键学习成果：** - 发展扎实的AI/ML基础知识。 - 理解生成性AI及其在实际场景中的应用。 - 获取关于基础模型的实用洞察及其应用。 - 学习负责任的AI实践，以确保公平性、透明度和合规性。 - 了解在AWS云中部署AI解决方案的关键安全和治理要求。 **适合人群：** - 渴望成为AWS认证AI从业者的人士。 - 准备进入AWS AI相关角色的AI/ML爱好者。 - 希望深入了解AWS AI和ML服务的专业人士。 通过练习这些考试问题，您将更好地为考试的多样化内容和场景做好准备，从而增强考试当天的信心。目前有2个实践考试可用，4个正在开发中，稍后将上线。
This is the 6th step of the '6 Steps to Success' as described in my course: AWS Certified AI Practitioner (AIF-C01) exam preparation guide. The practice exams are tailored to cover all five critical content areas of the certification exam, giving you targeted practice and insights into your readiness for the real exam.1. Domain 1: Fundamentals of AI and ML (20% of scored content) Focuses on basic concepts of artificial intelligence (AI) and machine learning (ML), including common terminology, types of learning, and the AWS AI/ML services ecosystem. 2. Domain 2: Fundamentals of Generative AI (24% of scored content) Covers essential knowledge of generative AI, including foundational concepts, applications, and how AWS services like SageMaker and Bedrock support generative AI use cases.3. Domain 3: Applications of Foundation Models (28% of scored content) Prepares you for questions related to the implementation of foundation models, including understanding transfer learning, pre-trained models, and their deployment using AWS services like SageMaker JumpStart.4. Domain 4: Guidelines for Responsible AI (14% of scored content) Tests your understanding of ethical AI, fairness, transparency, and bias mitigation strategies using tools like SageMaker Clarify and responsible AI best practices in AWS environments.5. Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content) Examines your knowledge of securing AI/ML solutions in AWS, managing compliance with industry standards, and governance best practices, including IAM, encryption, and monitoring.Key Learning Outcomes:- Develop a strong grasp of AI/ML fundamentals.- Understand generative AI and its applications in real-world scenarios.- Gain practical insights into foundation models and how to apply them.- Learn responsible AI practices to ensure fairness, transparency, and compliance.- Understand the key security and governance requirements for deploying AI solutions in the AWS cloud.Who Should Take This Course:- Aspiring AWS Certified AI Practitioners.- AI/ML enthusiasts preparing for AWS AI-related roles.- Professionals looking to deepen their understanding of AWS AI and ML services.By practicing with these exam questions, you'll be better prepared to face the exam's diverse content and scenarios, giving you the confidence to succeed on exam day.There are 2 practice exams available currently. 4 are under development and will be available soon.
