AWS: Managed AI Services is the fifth course in the Exam Prep (MLA-C01): AWS Certified Machine Learning Engineer – Associate Specialization. This course is designed to help learners leverage powerful pre-trained AI services offered by AWS to accelerate the development of intelligent applications — without the need to build or train ML models from scratch.


AWS: Managed AI Services
包含在 中
您将学到什么
Implement intelligent search and document extraction with Amazon Kendra and Textract.
Create personalized experiences and human review workflows using Personalize, A2I, and Mechanical Turk.
Leverage AWS AI services like Comprehend, Translate, Transcribe, and Polly for language and speech processing tasks.
Apply Amazon Rekognition and Amazon Lex to build intelligent image analysis and conversational AI solutions.
您将获得的技能
要了解的详细信息

添加到您的领英档案
September 2025
4 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有2个模块
Welcome to Week 1 of the AWS: Managed AI Services for Language, Vision & Personalization course. This week, you’ll explore AWS’s ready-to-use AI services that enable natural language understanding, translation, speech processing, and image recognition—without the need to build or train your own models. We’ll start with Amazon Comprehend, where you’ll analyze text for sentiment, key phrases, and language. Then, you’ll work with Amazon Translate to perform real-time language translation across multiple languages, followed by Amazon Transcribe, which converts speech into text for transcription use cases. You'll also explore Amazon Polly, which generates lifelike speech from text, supporting multilingual and customizable voice outputs. In the second half of the week, we’ll shift to computer vision and conversational AI, using Amazon Rekognition for image and video analysis, and Amazon Lex to build voice- and text-based chatbots. Each service is paired with a hands-on demo to reinforce real-world applications like customer service automation, media tagging, and accessibility enhancement. By the end of the week, you’ll gain practical experience in integrating these services into ML-powered applications that require language understanding, speech interaction, or visual intelligence.
涵盖的内容
12个视频2篇阅读材料2个作业1个讨论话题
Welcome to Week 2 of the AWS: Managed AI Services for Language, Vision & Personalization course. This week, you’ll explore a new set of AWS managed AI services focused on intelligent search, document processing, personalization, human-in-the-loop workflows, and fraud detection. We’ll begin with Amazon Kendra, a powerful enterprise search service that delivers natural language search results across diverse content repositories. Next, you'll dive into Amazon Textract, which extracts structured data like text, forms, and tables from scanned documents without manual review. You’ll then explore Amazon Personalize, which enables you to build real-time recommendation systems based on user behavior—just like those used by Amazon.com. Following that, we’ll introduce Amazon Mechanical Turk and Amazon Augmented AI (A2I), which enable scalable human review workflows for use cases requiring high accuracy or compliance. Finally, you’ll work with Amazon Fraud Detector, a machine learning-powered service that identifies potentially fraudulent activity in real-time to help protect customer interactions and financial transactions. By the end of this week, you'll be equipped to integrate these intelligent services into a wide range of ML applications—from search and personalization to document automation and fraud prevention.
涵盖的内容
6个视频3篇阅读材料2个作业
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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