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AWS AI Services for Developers

Course Summary

The AWS AI Services for Developers course introduces participants to core AWS AI Services, including Amazon Rekognition, Amazon Comprehend, Amazon Polly, Amazon Textract, and Amazon Bedrock (for generative AI). Through interactive demonstrations, hands-on labs, and discussions, participants will gain the skills to build and deploy AI-powered solutions. The course is designed for developers who want to integrate AI capabilities into their applications efficiently and cost-effectively.

Prerequisites

In order to succeed in this course, you will need:

  • Familiarity with AWS services and creating resources in the AWS Management Console
  • Proficiency in a programming language such as Python, JavaScript, or Java
  • Experience with sending requests and receiving responses from REST APIs
     
Purpose
Provide developers with the skills to build and deploy AI-powered solutions using AWS AI Services.
Audience
Experienced AWS developers lookiing to expand their capability to create AI-powered solutions
Role
Software Developers | Technical Managers
Skill level
Intermediate
Style
Lecture | Group Discussions | Hands-on Activities | Labs
Duration
2 days
Related technologies
AWS | Gen AI

 

Course objectives
  • Provision and use AWS AI services
  • Build applications using services such as Amazon Rekognition (Vision), Amazon Comprehend (Language), and Amazon Polly (Speech)
  • Integrate Amazon Textract with Amazon Kendra for document processing and search
  • Utilize Amazon Bedrock for advanced text generation and conversational AI
  • Optimize AI services for cost efficiency and performance

What you'll learn:

In this AWS AI Services for Developers course, you'll learn:
  • Introduction to AWS AI Services
    • Overview of AWS AI capabilities and services
    • Key concepts in training and deploying AI models
    • Exploring real-world use cases across industries
  • Amazon Translate
    • Translate text between multiple languages and detect source language automatically
    • Experiment with translation customization using custom terminology
    • Test translation workflows by processing multilingual datasets for insights and usability
  • Amazon Rekognition
    • Overview of Amazon Rekognition capabilities
      • Optical character recognition (OCR)
      • Object detection and scene analysis
      • Facial analysis and emotion recognition
    • Use custom labels to detect business-specific objects
    • Track people and objects across video frames
  • Amazon Comprehend
    • Analyze text for sentiment, key phrases, and language detection
    • Explore text summarization and translation for multilanguage applications
    • Process sample datasets to extract actionable insights
  • Amazon Textract
    • Extract structured data from unstructured documents using AI models
    • Process sample documents with Textract’s pre-built models
    • Compare the efficiency of pre-built vs custom models for specific needs
  • Amazon Polly
    • Convert text to natural-sounding speech using Amazon Polly
    • Explore customization options for speech synthesis
    • Generate and modify speech output using Polly’s SSML support
  • Amazon Lex
    • Build and deploy chatbots using Amazon Lex
    • Integrate Lex with AWS Lambda for dynamic responses
    • Create a chatbot to handle common using services queries

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