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Exam Readiness: AWS Certified Machine Learning - Specialty (ERMLS)

 

Who should attend

This course is intended for:

  • Machine learning practitioners preparing to take the AWS Certified Machine Learning – Specialty exam

Certifications

This course is part of the following Certifications:

Prerequisites

We recommend that attendees of this course to have:

  • One or two years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS cloud.
  • Proficiency at expressing the intuition behind basic ML algorithms and performing basic hyperparameter optimization
  • Understanding of complete ML pipeline and its components
  • Experience with ML and deep learning frameworks
  • Understanding and applying model training, deployment and operational best practices

Course Objectives

This course is designed to teach you how to:

  • Identify their strengths and weaknesses in each of the exam domains.
  • Create a subsequent study plan to prepare for the exam.
  • Describe the technical topics and concepts making up each of the exam domains.
  • Summarize the logistics and mechanics of the certification exam and its questions.
  • Identify effective test taking strategies that can be used to answer exam questions.

Course Content

The AWS Certified Machine Learning – Specialty exam validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) or deep learning (DL) solutions for given business problems.

People with one to two years of experience developing, architecting, or running ML/DL workloads on the AWS cloud should join this workshop to learn how to prepare to successfully pass the exam.

The workshop explores the exam’s topic areas, shows how they relate to machine learning on AWS, and also maps them to machine learning and deep learning foundational areas for future self-study. It includes sample exam questions from each domain and discussions of concepts being tested to help test-takers better eliminate incorrect responses.

Topics in the course will address each of the exam’s four subject domains. 1. Data Engineering 2. Exploratory Data Analysis 3. Modeling 4. Machine Learning Implementation and Operations

Online Training

Dauer 4 Stunden

Preis (exkl. MwSt.)
  • Country: DE
    749,- €
Digitale Kursunterlagen
Classroom Training

Dauer 4 Stunden

Preis (exkl. MwSt.)
  • Deutschland:
    Country: DE
    749,- €
  • Schweiz:
    Country: CH
    CHF 980,-
inkl. Verpflegung
Verpflegung umfasst:

  • Kaffee, Tee, Saft, Wasser, Cola
  • Gebäck und Süßigkeiten
  • Frisches Obst
  • Mittagessen in einem der naheliegenden Restaurants

Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.


Digitale Kursunterlagen

Kurstermine

Instructor-led Online Training:   Kursdurchführung online im virtuellen Klassenraum.
FLEX Classroom Training (Hybrid-Kurs):   Kursteilnahme wahlweise vor Ort im Klassenraum oder online vom Arbeitsplatz oder von zu Hause aus.
Englisch
1 Stunde Differenz
Online Training Zeitzone: British Summer Time (BST)
Online Training Dies ist ein FLEX-Kurs in Englisch.
Zeitzone: British Summer Time (BST)
Online Training Dies ist ein FLEX-Kurs in Englisch.
Zeitzone: Greenwich Mean Time (GMT)
FLEX Classroom Training (Hybrid-Kurs):   Kursteilnahme wahlweise vor Ort im Klassenraum oder online vom Arbeitsplatz oder von zu Hause aus.
Deutschland

Zur Zeit sind keine Termine verfügbar.  Fragen Sie an via info@flane.de.

FLEX & Online Training

Weiter unten finden Sie alternativ unsere Kurse mit FLEX-Option in englischer Sprache

London, City Dies ist ein FLEX-Kurs in Englisch.
Zeitzone: Greenwich Mean Time (GMT)