AWS The Machine Learning Pipeline on AWS

Overview

On this accelerated AWS The Machine Learning Pipeline on AWS course, you’ll learn to solve real-world business problems using the Machine Learning Pipeline.

In just 3 days, you’ll practice using the Machine Learning Pipeline learning best practices for problem-solving using Amazon SageMaker, and be able to:

Select and justify the appropriate ML approach for a given business problem
Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
Describe some of the best practices for designing scalable, cost-optimised, and secure ML pipelines in AWS

There is currently no exam associated with this accelerated course, but it forms part of the following Amazon learning paths:

Machine Learning Developer
Machine Learning Data Scientist
Machine Learning Data Platform Engineer

Firebrand’s Lecture | Lab | Review methodology will allow you to train at twice the speed of traditional training in a distraction-free environment. As an Official AWS Training Partner, you’ll get access to official courseware and learn from certified instructors.

Audience

This course is ideal for anyone who wants to learn about the ML Pipeline using Amazon SageMaker, especially in one of the following job roles:

Developer
Solutions architect
Data engineer

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

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Benefits

Seven reasons why you should sit your course with Firebrand Training

Two options of training. Choose between residential classroom-based, or online courses
You'll be certified fast. With us, you’ll be trained in record time
Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals

* For residential training only. Doesn't apply for online courses
** Some exceptions apply. Please refer to the Exam Track or speak with our experts

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 and the ML Pipeline
Module 2: Introduction to Amazon SageMaker
Module 3: Problem Formulation
Module 4: Preprocessing
Module 5: Model Training
Module 6: Model Evaluation
Module 7: Feature Engineering and Model Tuning
Module 8: Deployment

Exam Track

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

The Machine Learning Pipeline on AWS

Language: English
Course level: Intermediate

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, you should have a basic understanding of:

Python programming language
Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
Basic understanding of working in a Jupyter notebook environment

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.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 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.

"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)	21/2/2024 (Wednesday)	Finished - Leave feedback	-
24/6/2024 (Monday)	26/6/2024 (Wednesday)	Wait list	Nationwide
5/8/2024 (Monday)	7/8/2024 (Wednesday)	Limited availability	Nationwide
16/9/2024 (Monday)	18/9/2024 (Wednesday)	Open	Nationwide
28/10/2024 (Monday)	30/10/2024 (Wednesday)	Open	Nationwide
9/12/2024 (Monday)	11/12/2024 (Wednesday)	Open	Nationwide

Amazon Web Services (AWS) - The Machine Learning Pipeline on AWS