Follow Us on Social!
Practical Data Science with Amazon SageMaker (PDSASM)
Who should attend
- Developers
- Data Scientists
Certifications
This course is part of the following Certifications:
Prerequisites
- Familiarity with Python programming language
- Basic understanding of Machine Learning
Course Objectives
- Prepare a dataset for training
- Train and evaluate a Machine Learning model
- Automatically tune a Machine Learning model
- Prepare a Machine Learning model for production
- Think critically about Machine Learning model results
Course Content
In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.
Online Training
Duration 1 day
Price (excl. tax)
- 750.— €
Courseware language: English
Classroom Training
Duration 1 day
Price (excl. tax)
- Germany: 750.— €
- Switzerland: CHF 975.—
Catering includes:
- Coffee, Tea, Juice, Water, Soft drinks
- Pastry and Sweets
- Fresh fruits
- Lunch in a nearby restaurant
* Catering information only valid for courses delivered by Fast Lane.
Courseware language: English
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
Time zone: Central European Summer Time (CEST) ±1 hour
2 hours difference
6 hours difference
German
Time zone: Central European Summer Time (CEST) ±1 hour
FLEX Classroom Training (hybrid course):
Course participation either on-site in the classroom or online from the workplace or from home.
If you can't find a suitable date, don't forget to