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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-ai-practitioner-1/
课程评论：没有评论
课程名称：AWS认证AI从业者 - AIF-C01 课程概述：在当今世界，“生成式人工智能”是一个频繁被提及的话题。我们正见证着惊人的变革，因此保持对人工智能进展的了解至关重要。本课程专为准备参加AWS认证AI从业者考试的学习者设计，考试涵盖了AWS上机器学习和人工智能服务的基础知识，为希望进入AI领域的人们打下坚实基础。 在本课程中，我们将首先学习机器学习的基本概念，包括机器学习流程以及数据的重要性。接着，我们将使用Amazon SageMaker Canvas和Data Wrangler等工具创建机器学习模型，并学习如何从无编码角度进行分类和回归。 课程将深入探讨机器学习的重要方面，如负责任的人工智能、MLOps、机器学习生命周期及AWS良架构框架等。同时，我们将了解不同的AWS托管AI服务，包括Amazon Comprehend和Amazon Rekognition等。 在探索生成式人工智能时，课程将简要介绍不同的基础模型，如OpenAI的GPT和Anthropic的Claude，并学习如何在AWS上使用Amazon Bedrock，着重关注提示工程的重要性。 此外，课程还将涉及安全性和治理等主题，了解AWS CloudWatch、AWS CloudTrail等服务如何增强AI应用的安全性。 最后，课程提供一个实践测试部分，学员可以免费访问两个包含50道问题的模拟试题，以评估自己的理解程度和掌握的核心概念。 这是未来，现在就开始踏入人工智能的世界吧！
Few words have been spoken more often than 'Generative AI' in today's world. We are witnessing an extraordinary transformation, and it's crucial that we stay prepared and up-to-date with advancements in Artificial Intelligence.The AWS Certified AI Practitioner exam is an excellent starting point. This exam covers the foundational aspects of Machine Learning and AI services offered on AWS, providing a solid foundation for anyone looking to enter the AI field.So what all are we going to cover in this courseFirst and foremost we'll cover the foundational aspects of Machine Learning - We'll learn about the Machine Learning process, how data plays an important role.Then we move into using tools such as Amazon SageMaker Canvas, Data Wrangler to create our Machine Learning model. We'll see how to perform classification and regression from a no-coding aspect.When it comes to Machine Learning, we'll also go through important aspects such as Responsible AI, MLOps, Machine Learning Lifecycle - AWS Well-Architected Framework etc.Then we will move onto learning about the different AWS Managed AI services. This includes the Amazon Comprehend, Amazon Rekognition and other AWS Managed AI services.Then we'll push into learning about Generative AI. We will first have a quick overview on the different foundation models such as OpenAI GPT, Anthropic Claude etc.Next, we'll move onto using Amazon Bedrock on AWS. Will look into using the foundation models available on Amazon Bedrock. Look at the ever important aspect of Prompt Engineering.Next will dive into Security, Governance and Security. We will understand how services like AWS CloudWatch, AWS CloudTrail and many others can supplement the security aspect of our AI-based applications.Finally we have a Practice Test Section - As part of this course, you will have free access to two practice tests with 50 questions each. These will allow you to assess your understanding and gauge how well you've grasped the key concepts covered throughout the course.It's the future and its now. Start your path into the world of Artificial Intelligence.
