Amazon Web Services (AWS) - Certified Machine Learning - Specialty | MLS-C01

Duration

Duration:

Only 3 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

27/9/2021 (Monday)

Overview

On this accelerated AWS Certified Machine Learning - Specialty course, you’ll learn how to design, implement, deploy and maintain machine learning (ML) models and solutions using the AWS Cloud.

In just 3 days, you'll learn how to support your business' growth and deter from external threats by choosing appropriate ML approaches and AWS services to implement ML solutions. You'll also build knowledge on:

  • Feature engineering
  • Analysing and visualising data for machine learning
  • Hyperparameter optimisation

At the end of the course, you'll sit the AWS Certified Machine Learning - Specialty (MLS-C01) exam. You'll get access to official courseware and learn from certified AWS instructors as Firebrand is an official training provider.

Through Firebrand's Lecture | Lab | Review methodology, you'll learn at twice the speed in a controlled and focused classroom environment.


Audience


If you're in a development or data science role and have experience in machine learning, this course is for you.

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified in just 3 days. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  4. Pass first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. 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
  7. You’ll be studying with the best. We’ve been named in 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 106,908 professionals, and we’re partners with all of the big names in the business

Benefits

Benefits of Training with Firebrand

  • Two options of training - Residential classroom-based, or online courses
  • A purpose-built training centre – get access to dedicated Pearson VUE Select facilities.
  • Certification Guarantee – pass first time or train again free (just pay for accommodation, exams and incidental costs)
  • Everything you need to certify – you’ll sit your exam at the earliest available opportunity after the course - either immediately after your classroom course, or as soon as there are slots available, if you've taken it online
  • No hidden extras – one cost covers everything you need to certify

Curriculum

  • Module 1: Data Engineering
  • Module 2: Exploratory Data Analysis
  • Module 3: Modelling
  • Module 4: Machine Learning Implementation and Operations

Exam Track

As part of your accelerated course, you'll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

AWS Certified Machine Learning - Specialty (MLS-C01) exam

  • Exam code: MLS-C01
  • Format: Multiple-choice and multiple-answer
  • Passing score: 750 (scale of 100-1000)
  • Duration: 170 minutes
  • Languages: English, Japanese, Korean and simplified Chinese
  • Domains:
    1. Data Engineer (20%)
    2. Exploratory Data Analysis (24%)
    3. Modelling (36%)
    4. Machine Learning Implementation and Operations (20%)

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. 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 (just pay for accommodation, exams and incidental costs)

Prerequisites

Before attending this accelerated course, it's recommended you possess that following:

  • One to two years' experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
  • The ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyperparameter optimization
  • Experience with ML and deep learning frameworks
  • The ability to follow model-training best practices
  • The ability to follow deployment and operational best practices

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 106,908 students and asked them all to review our Accelerated Learning. Currently, 96.66% 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.


"Overall experience very good. Staff was extremely helpful and instructor was knowledgeable about the topics and explained it very well."
YS. (2/7/2021 (Friday) to 4/7/2021 (Sunday))

"Course was really useful."
Shobin Sathyan, Contino. (7/6/2021 (Monday) to 13/6/2021 (Sunday))

"Fantastic training - very in-depth and really trains you to analyse the questions on the exam."
JT. (6/4/2021 (Tuesday) to 8/4/2021 (Thursday))

"As a complete newcomer to cloud computing and IT, I found the AWS Discovery Day very interesting, but also very intense. I left the day feeling a need to get more grounding at a more basic level before I launch myself into the level which this Discovery Day was pitched at. Thank you for putting it on on June 25, 2021."
Anonymous. (22/4/2021 (Thursday) to 23/4/2021 (Friday))

"Thanks, really helpful round up of things! Really well presented."
Anonymous. (22/4/2021 (Thursday) to 23/4/2021 (Friday))

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