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Coursera

AWS: AI Services

Whizlabs via Coursera

Overview

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This course is designed to provide a comprehensive introduction to AWS Artificial Intelligence (AI) Services, enabling learners to understand how organizations use managed AI solutions to add intelligence to applications without building machine learning models from scratch. Participants will explore AWS services that support natural language processing, speech recognition, conversational AI, computer vision, intelligent search, personalization, and document intelligence. The course begins by introducing AI services for language processing and conversational experiences. Learners will explore services that analyze text, translate languages, convert speech to text, generate natural-sounding speech, and build intelligent chatbots. The course then progresses to AI services for computer vision, intelligent search, personalization, and human-in-the-loop workflows, helping learners understand how organizations extract insights from images and documents, deliver personalized recommendations, and improve AI outcomes through human review processes. This course is structured into multiple modules, each featuring lessons and video lectures that provide both theoretical knowledge and practical demonstrations of AWS AI services. Participants will engage with approximately 2–3 hours of instructional content, ensuring both conceptual understanding and practical application. To reinforce learning, graded and ungraded assignments are included within each module to help learners apply AI concepts in real-world business scenarios. Module 1: AI Services for Language & Conversational AI Module 2: AI Services for Vision, Search & Personalization At the end of the course, learners will learn * Understand the capabilities and use cases of AWS managed AI services for language processing, speech AI, computer vision, intelligent search, and personalization. * Identify the appropriate AWS AI service for different business and technical requirements. * Explain how organizations use AWS AI services to build intelligent applications and improve customer experiences. This course is for Cloud Practitioners, Team Managers, Business Analysts, Solutions Architects, Developers, Data Professionals, AI Enthusiasts, and learners interested in understanding AWS AI services and their business applications.

Syllabus

  • AI Services for Language & Conversational AI
    • Welcome to the AI Services for Language & Conversational AI module. In this module, you'll explore AWS AI services that help applications understand, translate, transcribe, generate, and interact with human language. You'll begin with Amazon Comprehend, learning how to extract insights, sentiment, entities, and key phrases from text through both concepts and demos. Next, you'll explore Amazon Translate for language translation and Amazon Transcribe for converting speech into text. You'll also learn about Amazon Polly, which transforms text into natural-sounding speech, and Amazon Lex, which enables you to build conversational chatbots and virtual assistants using voice and text interactions. By the end of this module, you'll understand how AWS AI services can be used to build intelligent, multilingual, and conversational applications powered by natural language processing.
  • AI Services for Vision, Search & Personalization
    • Welcome to the AI Services for Vision, Search & Personalization module. In this module, you'll explore AWS AI services that help organizations analyze images, extract information from documents, deliver personalized experiences, and build intelligent search solutions. You'll begin with Amazon Rekognition and its hands-on demo to understand how AI can identify objects, faces, text, and activities within images and videos. Next, you'll learn about Amazon Kendra, an intelligent enterprise search service that helps users find information quickly using natural language queries. The module also covers Amazon Textract for extracting text and data from documents, and Amazon Personalize for creating personalized recommendations and user experiences. Finally, you'll explore Amazon Mechanical Turk and Amazon Augmented AI (A2I), which combine human review with machine learning workflows to improve accuracy and decision-making. By the end of this module, you'll understand how AWS AI services can power vision, search, document processing, personalization, and human-in-the-loop AI solutions.

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