Amazon SageMaker Studio for Data Scientists (ASSDS)

 

Course Overview

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.

Who should attend

Experienced data scientists who are proficient in ML and deep learning fundamentals.

Prerequisites

We recommend that all attendees of this course have:

  • Experience using ML frameworks
  • Python programming experience
  • At least 1 year of experience as a data scientist responsible for training, tuning, and deploying models
  • AWS Technical Essentials digital or classroom training

Course Objectives

In this course, you will learn to:

  • Accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio

Prices & Delivery methods

Online Training

Duration
3 days

Price
  • CHF 2,480.—
Book now
Enquire a date
Classroom Training

Duration
3 days

Price
  • Switzerland: CHF 2,480.—
incl. catering
Book now
Enquire a date

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

European Time Zones

Online Training Course language: English
Online Training Course language: English

6 hours difference to Central European Summer Time (CEST)

Online Training Time zone: Eastern Daylight Time (EDT) Course language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course language: English

7 hours difference to Central European Summer Time (CEST)

Online Training Time zone: Central Daylight Time (CDT) Course language: English
Online Training Time zone: Central Daylight Time (CDT) Course language: English

9 hours difference to Central European Summer Time (CEST)

Online Training Time zone: Pacific Standard Time (PST) Course language: English
Online Training Time zone: Pacific Standard Time (PST) Course language: English
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Switzerland

Zurich
Zurich
Zurich

Germany

Munich
Munich

If you can't find a suitable date, don't forget to check our world-wide FLEX training schedule.