Course

Introduction to Machine Learning on AWS

Amazon Web Services

In this course, students will gain a deep understanding of artificial intelligence (AI), machine learning, and deep learning, with a focus on leveraging AWS machine learning services. The comprehensive curriculum covers various services such as computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training, and virtual agents.

  • Differentiate between AI, machine learning, and deep learning
  • Select the appropriate AWS machine learning service for a given use case
  • Learn how to build, train, and deploy machine learning models

Through practical exercises and demonstrations, students will be equipped to integrate AI and machine learning solutions into their existing applications, thereby enhancing user experience and meeting business requirements.

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Introduction to Machine Learning on AWS
Course Modules

This course is divided into two modules, covering a wide range of AWS machine learning services and practical exercises. Students will gain the skills to integrate AI and machine learning solutions into their applications, enhancing user experiences and business needs.

Week 1

This module introduces students to various AWS machine learning services, including Amazon Rekognition, Textract, and Comprehend. Practical exercises and walkthroughs enable students to gain hands-on experience in utilizing these services to enhance their applications.

Week 2

Module 2 delves into additional AWS machine learning services such as Transcribe, Translate, and Amazon Lex. Students will also learn about SageMaker and gain practical experience through demonstrations and exercises to apply these services in real-world scenarios.

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