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Machine Learning with AWS Training

Level: Intermediate

Machine Learning and Artificial Intelligence is considered a game changer. It is the biggest shift of the decade in Machine Learning. The goal of this AWS machine learning course is to guide you through the emerging world of patterns, techniques, and practices, helping you to understand proven solutions to common problems. In this course, you will learn about the various artificial intelligence and machine learning services available on AWS. Through practical hands-on exercises, you’ll learn how to use these services to generate impressive results. By the end of this course, you will have a basic understanding of how to use a wide range of AWS services in your own projects.

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Key Features of this Machine Learning with AWS Training:

  • After-course instructor coaching benefit

You Will Learn How To:

  • Understand AWS and its role in Machine Learning
  • Create a Chatbot with Natural Language
  • Use Speech with a Chatbot
  • Understand common themes in topic modeling

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LIVE, INSTRUCTOR-LED

In Class & Live, Online Training

  • 2-day instructor-led training course
  • One-on-one after course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card
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Standard $1950

Government $1532

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PRODUCT #1272

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  • Full - scale program development
  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

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Our FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.

In Class & Live, Online Training

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Note: This course runs for 2 Days *

*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.

  • Dec 16 - 17 9:00 AM - 4:30 PM EST Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • Feb 24 - 25 9:00 AM - 4:30 PM EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

  • Apr 21 - 22 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • Jun 24 - 25 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

  • Aug 18 - 19 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Reserve Your Seat

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When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.

Partial Day Event

Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.

AWS Machine Learning Training Information

  • Who Should Attend

    This course is ideal for data scientists, programmers, and machine learning enthusiasts, who want to learn about the artificial intelligence and machine learning capabilities of the Amazon Web Services.

AWS Machine Learning Training Outline

  • Lesson 1: Introduction to Amazon Web Services

    • The basics of working on AWS using S3.
    • Importing and exporting data.
    • Using the AWS console and identifying the services available for Machine Learning.
    • Create a S3 bucket and import text data into it.

  • Lesson 2: Summarize Text Documents using NLP

    • Use Amazon Comprehend to detect the language which a document is written in.
    • Extract information such as entities (persons or places), key phrases (noun phrases indicative of the content), and emotional sentiment from a set of documents.
    • Sample project: Set up a Lambda function to process and analyze the imported text using Comprehend.

  • Lesson 3: Perform Topic Modelling and Theme Extraction

    • Understand what business use cases to apply the machine learning algorithm (Latent Dirichlet Allocation (LDA)) that is used for topic modeling.
    • Extract and analyze common themes through topic modelling with Amazon Comprehend.
    • Sample project: Perform topic modeling on a set of documents and analyze the results.

  • Lesson 4: Creating Chatbot with Natural Language

    • Explore the basics of chatbots and chatbot design.
    • Set up with the Amazon Lex service and create a sample chatbot to order flowers.
    • Create a custom chatbot which will look up market prices for a given stock.

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AWS Machine Learning FAQs

  • Can I take this AWS Machine Learning course online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

Online (AnyWare)
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