Practical Data Science with Amazon SageMaker | 2-day course

Overview

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:

How to automatically tune a model
The deployment/production readiness
The relative cost of errors

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.

Audience

This course is ideal for:

Developers
Data Scientists

See prices now to find out how much you could save when you train at twice the speed.

See prices

Four reasons why you should sit your course with Firebrand Training

You'll be trained and certified faster. Learn more on this 2-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001

Benefits

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

Free Practice Test

Curriculum

Module 1: Introduction to Machine Learning
Module 2: Introduction to Data Prep and SageMaker
Module 3: Problem formulation and Dataset Preparation
Module 4: Data Analysis and Visualisation
Module 5: Training and Evaluating a Model
Module 6: Automatically Tune a Model
Module 7: Deployment / Production Readiness
Module 8: Relative Cost of Errors
Module 9: Amason SageMaker Architecture and features

Exam Track

There is no exam for this accelerated course.

What's Included

Your accelerated course includes:

Accommodation *
Meals, unlimited snacks, beverages, tea and coffee *
On-site exams **
Exam vouchers **
Practice tests **
Certification Guarantee ***
Courseware
Up-to 12 hours of instructor-led training each day
24-hour lab access
Digital courseware **

* For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
** Some exceptions apply. Please refer to the Exam Track or speak with our experts
*** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated course, AWS recommend you have:

Familiarity with Python programming language
Basic understanding of Machine Learning

Are you ready to get certified in record time?

We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

If you have any doubts as to whether you meet the pre-requisites please call 89 88 66 05 and speak to one of our enrolment consultants, who can help you with a training plan.

Reviews

We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
96,41% have said Firebrand exceeded their expectations:

"Very impressed with the dedication from the instructor and how well structured the sessions are. The course is very intense since it's only 3 days long, however, the quality of the training makes it worthwhile. I'd recommend going in person since you will find it much easier to focus and likely get more out of the course overall."
Simon Brown, Softcat. (8/9/2023 (Friday) to 10/9/2023 (Sunday))

"Enrolling in Firebrand Training's AWS Solution Architect Associate course online instructor-led program was an outstanding decision for my career. The course was not only comprehensive but also delivered by highly knowledgeable instructors who made complex AWS concepts easy to grasp. The interactive nature of the online sessions and the practical hands-on labs ensured that I gained a deep understanding of AWS solutions and best practices. I can confidently say that Firebrand Training played a pivotal role in helping me achieve AWS Solution Architect Associate certification. I highly recommend this course to anyone looking to excel in AWS cloud architecture."
Omar Anwar. (4/9/2023 (Monday) to 7/9/2023 (Thursday))

"Course provided all the key knowledge required to prepare me for my organisation currently introducing AWS migrations"
AB, Marketaxess. (31/7/2023 (Monday) to 1/8/2023 (Tuesday))

"Trainer was excellent, a lot of information, great experience"
Olawale Abdullahi, BPP University. (31/7/2023 (Monday) to 1/8/2023 (Tuesday))

"The trainer provided excellent delivery and commitment to enabling me to understand the AWS platform, services and how they interact with each other. the topics where discussed in great depth with live demos and real world analogies and examples to help embed the knowledge rather than just reading from a slide deck. the course is extremely intense but the way the content delivery was structured with a mix of slides, live demos, labs and open classroom discussions helped enable me to gain a great insight into the AWS platform."
Matthew Bingham, Softcat PLC. (24/7/2023 (Monday) to 27/7/2023 (Thursday))

Course Dates

Start	Finish	Status	Location
19/2/2024 (Monday)	20/2/2024 (Tuesday)	Finished - Leave feedback	-
24/6/2024 (Monday)	25/6/2024 (Tuesday)	Wait list	Nationwide
5/8/2024 (Monday)	6/8/2024 (Tuesday)	Limited availability	Nationwide
16/9/2024 (Monday)	17/9/2024 (Tuesday)	Open	Nationwide
28/10/2024 (Monday)	29/10/2024 (Tuesday)	Open	Nationwide
9/12/2024 (Monday)	10/12/2024 (Tuesday)	Open	Nationwide

Amazon Web Services (AWS) - Practical Data Science with Amazon SageMaker (PDSASM)