Formazione Online in classi virtuali, e-Learning
e altre modalità di erogazione per la tua formazione.

Maggiori informazioni

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

 

Chi dovrebbe partecipare

This course is intended for:

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

Certificazioni

Questo corso è parte della seguente certificazione:

Prerequisiti

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

Obiettivi del Corso

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.

Contenuti del Corso

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

Durata 4 Ore

Prezzo (IVA esclusa)
  • Italia: 590,- €
Formazione in Aula

Durata 4 Ore

Prezzo (IVA esclusa)
  • Italia: 590,- €
 
Clicca sulla città per iscriverti Schedulazione
Italia
08.05.2020 Online Training Fuso orario: Europe/Rome Lingua Corso: Italiano
26.06.2020 Online Training Fuso orario: Europe/Rome Lingua Corso: Italiano
10.07.2020 Milano
04.09.2020 Roma
09.10.2020 Milano
20.11.2020 Roma
Questo è un corso Online