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.

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AWS: Managed AI Services
Ce cours fait partie de Spécialisation Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

Instructeur : Whizlabs Instructor
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Ce que vous apprendrez
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.
Compétences que vous acquerrez
- Catégorie : Fraud detection
- Catégorie : Artificial Intelligence
- Catégorie : Image Analysis
- Catégorie : Computer Vision
- Catégorie : Document Management
- Catégorie : Amazon Web Services
- Catégorie : Text Mining
- Catégorie : AI Personalization
- Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
- Catégorie : Data Processing
- Catégorie : Natural Language Processing
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septembre 2025
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Il y a 2 modules dans ce cours
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.
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12 vidéos2 lectures2 devoirs1 sujet de discussion
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.
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6 vidéos3 lectures2 devoirs
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Amazon Web Services
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