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Machine Learning with AWS Training

Nivå: 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 practises, 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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Nyckelfunktioner:

  • After-course instructor coaching benefit

Du kommer lära dig att:

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

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LIVE, LÄRARLEDD

I klass & Live, Online-utbildning

  • 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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15400 SEK

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  • Coaching av ett expertteam

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Utveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning

Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

I klass & Live, Online-utbildning

Note: This course runs for 2 dagar *

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

  • 19 - 20 okt 9:00 - 4:30 BST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 15 - 16 feb 9:00 - 4:30 GMT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 10 - 11 maj 9:00 - 4:30 BST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 19 - 20 jul 9:00 - 4:30 BST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 21 - 22 okt 9:00 - 4:30 EDT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 16 - 17 dec 9:00 - 4:30 EST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 24 - 25 feb 9:00 - 4:30 EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 21 - 22 apr 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 24 - 25 jun 9:00 - 4:30 EDT New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 18 - 19 aug 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

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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: Summarise 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 analyse 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 modelling.
    • Extract and analyse common themes through topic modelling with Amazon Comprehend.
    • Sample project: Perform topic modelling on a set of documents and analyse 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.

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