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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.
Your accelerated course includes:
Before attending this accelerated course, AWS recommend you have:
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Here's the Firebrand Training review section. Since 2001 we've trained exactly 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"The trainer was absolutely fantastic. The course materials was explained to point and easily understood. All questions answered I had. I am feeling extremely confident of passing the exam and being certified."
Peter Royle, Lineage Logistics. (29/4/2024 (Monday) to 2/5/2024 (Thursday))
"It was a great week worth of training. Very intense course so not for the faint of heart! If you do decide to do a course here, be prepared but be excited. It's a great place to learn these courses and appreciate my instructor and everyone for making it a great experience!"
Robert Sizeland, Rhino Analytics. (29/4/2024 (Monday) to 2/5/2024 (Thursday))
"Good trainer. Course has a lot of content but trainer did well to make it entertaining."
Uchenna Onyia. (8/3/2024 (Friday) to 10/3/2024 (Sunday))
"Intensive course with good content"
Karen Asamoah, BPP. (4/3/2024 (Monday) to 10/3/2024 (Sunday))
"Very in-depth knowledge of the trainer made the course enjoyable"
A.K.. (4/3/2024 (Monday) to 7/3/2024 (Thursday))
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