Discovery Day- Machine Learning Basics (AWSDD-MLB)

 

Course Overview

Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.

  • Level: Fundamental
  • Duration: 1.5 hours

We recommend that attendees of this event continue learning with these:

  • Courses
    • Deep Learning on AWS
    • MLOps Engineering on AWS
    • Practical Data Science with Amazon SageMaker
    • The Machine Learning Pipeline on AWS
  • Resources
    • AWS Ramp-Up Guide: Machine Learning
SPECIAL OFFER

Start your AWS cloud journey with 50% discount!

Apply for this free event and you get a 50% discount for one of the courses:

Offer valid only for the AWS Discovery Days attendees in October, November and December 2022. Attendees of AWS Discovery Days can use the 50% discount only for one of the 1-day AWS Essential Training courses delivered until 10th December 2022. Special offer applies only to the AWS Discovery Days and AWS training courses delivered in CEE region and for Fast Lane CEE online enrollements.

Who should attend

This event is intended for:

  • Developers
  • Solution architects
  • Data engineers
  • Individuals interested in building solutions with machine learning - no machine learning experience required!

Course Objectives

During this event, you will learn:

  • What is Machine Learning?
  • What is the machine learning pipeline, and what are its phases?
  • What is the difference between supervised and unsupervised learning?
  • What is reinforcement learning?
  • What is deep learning?

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Prices & Delivery methods

Online Training
Modality: L

Duration 2 hours

Price
  • Eastern Europe: Free offering
Dates and Booking
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Schedule

English

7 hours difference

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Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.