AWS: Managed AI Services

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Overview

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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. Through a practical, service-based approach, learners will explore AWS offerings for natural language understanding, speech processing, computer vision, personalized recommendations, intelligent search, and human-in-the-loop workflows. These services allow developers, data engineers, and ML practitioners to embed intelligence into applications at scale with minimal ML expertise. With real-world examples, this course demonstrates how to use services like Amazon Comprehend, Rekognition, Polly, Textract, Transcribe, Personalize, Kendra, and A2I (Augmented AI) to deliver business value through managed AI capabilities. This course is structured into two major modules, each containing focused lessons and guided walkthroughs. Learners will gain approximately 2.5 to 3 hours of hands-on video content, supported by Graded and Ungraded Quizzes to assess conceptual understanding and real-world application. Module 1: Natural Language, Speech & Vision AI Services on AWS Module 2: Intelligent Search, Personalization & Human-in-the-Loop AI By the end of this course, learners will be able to: Understand how AWS Managed AI Services solve common AI use cases without custom model development Integrate services for NLP, speech, and computer vision into applications Build personalized experiences and intelligent search solutions using Amazon Personalize and Kendra Incorporate human review using Amazon A2I for critical workflows requiring oversight This course is ideal for cloud developers, solution architects, data engineers, and ML beginners who want to integrate powerful AI capabilities without training models. It’s also tailored for learners preparing for the MLA-C01 certification, especially those aiming to master the application of AWS’s fully managed AI services in real-world use cases.

Syllabus

Natural Language, Speech & Vision AI Services on AWS

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.

Intelligent Search, Personalization & Human-in-the-Loop AI

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.