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On this accelerated AWS Practical Data Science with Amazon SageMaker (PDSASM) course, you'll learn how to solve a real-world case with Machine Learning (ML) and produce actionable results using Amazon SageMaker.
In just 1 day, you’ll learn the fundamentals of the stages of a typical data science process for ML, from analysing and visualising a dataset, to preparing the data and feature engineering. You’ll also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. You’ll build knowledge on:
As an official AWS Training Partner, through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to official courseware, learn from certified instructors, and train in a distraction-free environment.
This course is ideal for:
There is no exam for this accelerated course.
Before attending this accelerated course, AWS recommend you have:
Olemme kouluttaneet kymmenen vuoden aikana yli 122.183 opiskelijaa. Heitä kaikkia on pyydetty arvioimaan pikakurssimme. Tällä hetkellä 96,63% on sitä mieltä, että Firebrand on ylittänyt heidän odotuksensa:
"I have really enjoyed the training for AWS Developer and the first time for yourselves with a deaf participant it was hard work but we managed the communication. There was a lot of information and the labs were useful practice. I will pace myself and hopefully pass the exam soon."
Jonathan Ko, BCHC. (20/12/2021 (Maanantai) - 22/12/2021 (Keskiviikko))
"Very well organised training, experienced coach to answer all questions and expand on different topics."
JJ, Fujitsu. (20/12/2021 (Maanantai) - 22/12/2021 (Keskiviikko))
"Overall experience very good. Staff was extremely helpful and instructor was knowledgeable about the topics and explained it very well."
YS. (2/7/2021 (Perjantai) - 4/7/2021 (Sunnuntai))
"Course was really useful."
Shobin Sathyan, Contino. (7/6/2021 (Maanantai) - 13/6/2021 (Sunnuntai))
"Fantastic training - very in-depth and really trains you to analyse the questions on the exam."
JT. (6/4/2021 (Tiistai) - 8/4/2021 (Torstai))
Alkaa |
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Sijainti |
Rekisteröidy |
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21/2/2022 (Maanantai) |
22/2/2022 (Tiistai) |
Päättynyt - Jätä palautetta |
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27/6/2022 (Maanantai) |
28/6/2022 (Tiistai) |
Odotuslista |
Maanlaajuinen |
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8/8/2022 (Maanantai) |
9/8/2022 (Tiistai) |
Rajoitettu määrä paikkoja |
Maanlaajuinen |
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19/9/2022 (Maanantai) |
20/9/2022 (Tiistai) |
Paikkoja saatavilla |
Maanlaajuinen |
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31/10/2022 (Maanantai) |
1/11/2022 (Tiistai) |
Paikkoja saatavilla |
Maanlaajuinen |
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12/12/2022 (Maanantai) |
13/12/2022 (Tiistai) |
Paikkoja saatavilla |
Maanlaajuinen |
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