Udemy - Introduction to AWS Machine Learning for IoT

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[ DevCourseWeb.com ] Udemy - Introduction to AWS Machine Learning for IoT
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction to AWS Machine Learning
    • 1. Introduction to the course.mp4 (28.0 MB)
    • 1.1 Bill of Material.pdf (177.5 KB)
    • 1.2 GitHub Link .html (0.1 KB)
    • 2. Machine learning overview.mp4 (40.1 MB)
    • 3. AWS machine learning services.mp4 (28.6 MB)
    • 3.1 AWS Cloud Products .html (0.3 KB)
    • 4. AWS machine learning for IoT.mp4 (20.2 MB)
    • 4.1 Machine Learning services on AWS .html (0.1 KB)
    • 5. Sign Up for AWS.mp4 (31.0 MB)
    • 5.1 AWS free services .html (0.3 KB)
    • 5.2 AWS SignUp Link .html (0.1 KB)
    • 6. Budgeting on AWS.mp4 (49.3 MB)
    • 7. Assignment1.html (0.2 KB)
    2. AWS speech services
    • 1. An overview of Amazon Polly service.mp4 (30.9 MB)
    • 1.1 Voices in Amazon polly .html (0.1 KB)
    • 2. Get started with Amazon Polly.mp4 (40.9 MB)
    • 2.1 Installing or updating the latest version of the AWS CLI .html (0.1 KB)
    • 2.3.py (1.3 KB)
      • 2.6Code
      • main.py (5.1 KB)
      • s3_crud.py (2.8 KB)
    • 3. Demonstration of Amazon Polly with Raspberry Pi 4.mp4 (55.0 MB)
    • 3.1 2.3.png (120.8 KB)
    • 3.3 AWS CLI install and update instructions .html (0.1 KB)
    • 3.4 Install Python3 on Raspberry Pi 4 .html (0.1 KB)
    • 3.5 Remote access of Raspberry Pi 4 .html (0.1 KB)
    • 3.6 Update or Upgrade Raspberry Pi 4 .html (0.2 KB)
    • 4. An overview of Amazon Transcribe.mp4 (19.1 MB)
    • 4.1 Amazon Transcribe pricing model .html (0.1 KB)
    • 4.2 Supported languages by Amazon Transcribe and language-specific features .html (0.1 KB)
    • 5. Get started with Amazon Transcribe.mp4 (36.7 MB)
    • 6. Demonstration of Amazon Transcribe with Raspberry Pi 4.mp4 (75.3 MB)
    • 6.1 2.6.png (99.6 KB)
    • 6.3 Commands.txt (0.1 KB)
    • 7. Assignment2.html (0.2 KB)
      • 3. An Overview of Amazon Rekognition
      • 1. Introduction to Amazon Rekognition.mp4 (31.7 MB)
      • 1.1 Amazon Rekognition pricing .html (0.1 KB)
      • 2. Types of analysis and operations in Amazon Rekognition.mp4 (26.3 MB)
      • 3. Get started with Amazon Rekognition.mp4 (36.5 MB)
        • 3.4&3.5Code
        • index_faces.py (1.5 KB)
        • match_faces.py (1.5 KB)
        3.7Code
        • aws_speech_to_text.py (1.4 KB)
        • index_faces.py (1.1 KB)
        • main.py (6.4 KB)
        • s3_crud.py (2.8 KB)
      • 4. Demonstration of Amazon Rekognition with Raspberry Pi 4 Part 1.mp4 (48.0 MB)
      • 5. Demonstration of Amazon Rekognition with Raspberry Pi 4 Part 2.mp4 (60.0 MB)
      • 5.2 3.5.png (107.2 KB)
      • 6. Project Proximity human interactor. Part 1.mp4 (39.2 MB)
      • 6.1 3.6.png (427.7 KB)
      • 7. Project Proximity human interactor. Part 2.mp4 (46.9 MB)
      • 8. Project Proximity human interactor. Part 3.mp4 (67.5 MB)
      • 9. Assignment3.html (0.2 KB)
        • 4. An overview of Amazon SageMaker
        • 1. Introduction to Amazon SageMaker.mp4 (19.9 MB)
        • 2. Amazon SageMaker training options.mp4 (22.8 MB)
        • 2.1 Amazon SageMaker Pricing .html (0.2 KB)
        • 2.2 AWS Marketplace .html (0.1 KB)
        • 3. Amazon SageMaker Walk-through.mp4 (58.9 MB)
        • 4. Amazon SageMaker Demonstration.mp4 (45.4 MB)
        • 5. Amazon SageMaker edge manager.mp4 (24.7 MB)
        • 6. Amazon SageMaker edge manager workflow.mp4 (22.8 MB)
        • 7. Course Conclusion.mp4 (22.4 MB)
        • 8. Assignment4.html (0.2 KB)
        • CelsiustoKelvin.csv (3.9 KB)
        • Bonus Resources.txt (0.4 KB)

Description

Introduction to AWS Machine Learning for IoT



https://DevCourseWeb.com

Last updated 1/2023
Created by Venkatesh Varadachari,Nidhi Agarwal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 2h 33m ) | Size: 1 GB

Learn the fundamentals of Amazon Machine Learning Services and build an IoT solution with Raspberry Pi 4 from scratch

What you'll learn
Get an overview of Amazon Machine Learning
Learn how to start working with Amazon Machine Learning Services
Gain in-depth knowledge related to Amazon Machine Learning and implementation
Develop an end-to-end IoT project using Amazon Machine Learning Services and Raspberry Pi 4
Be confident to design and deploy your own IoT projects using Amazon Machine Learning Services.

Requirements
Basic understanding of electronics and related concepts
A fair idea of setting up the Raspberry Pi 4 board
Basic understanding of Amazon cloud computing
Basic understanding of Python



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Udemy - Introduction to AWS Machine Learning for IoT

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1 GB
seeders:5
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Udemy - Introduction to AWS Machine Learning for IoT

Torrent hash: F3BB31F4AA86C2374A594CB601BCF1C8144AC9FC