MLS-C01.AE1

AWS Certified Machine Learning Specialty Training (MLS-C01)

Learn, prepare and practice for the AWS exam. Gain real-world experience with hands-on Labs and case studies.

  • Practice in 26 Laboratorios prácticos — nothing to install
  • 18 Lecciones interactivas y 93 topics mapped to the official exam objectives
  • 403 Preguntas del examen de práctica y 2 Pruebas completas

Intermediate A tu propio ritmo · 1 año de acceso 4.7/5 (48 Revisar)

26 LiveLabs prácticos

Practice real IT tasks in guided environments.

  • Entornos reales
  • Calificación automática
  • Sin instalación
18Lecciones interactivas
93Topics
26Laboratorio en vivo
403Preguntas del examen de práctica
188Tarjetas didácticas
89Glosario de términos

01 / Habilidades que obtendrás

What you will be able to do

Try Free → No se requiere tarjeta de crédito
AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) is a preparatory course that provides a structured and detailed learning approach to pass the certification exam. The course focuses on foundational ML concepts, foundations of statistics, data analysis, exploration, feature engineering, and common ML algorithms. In addition to this, it equips you with the skills to deploy those solutions on AWS and to be able to architect an end-to-end solution on AWS from data ingestion to model deployment and monitoring using a host of relevant AWS services for a given business use case. This AWS Machine Learning course comes with an exam-focused approach curriculum that is totally aligned with the latest exam objectives to help you prepare and pass the exam easily. 
  • Expertise in using AWS AI/ML services like Amazon SageMaker, Amazon Rekognition, and more
  • Understanding of ML algorithms like linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks, and deep learning models
  • Data Science pipelines, the entire ML lifecycle 
  • Awareness of AWS infrastructure services like Amazon S3, Amazon EC2, Amazon RDS, Amazon VPC, and AWS Lambda 
  • Design and implement scalable and cost-effective cloud architectures for ML applications
  • Skilled with deep learning frameworks like TensorFlow and PyTorch, and their application to tasks like image recognition, natural language processing, and time series analysis
  • Understanding of reinforcement learning concepts and algorithms 
  • Tuning hyperparameter to optimize model performance
  • Knowledge of ML deployment models as web services, containerized applications, or serverless functions
  • Utilizing MLOps for managing the entire ML lifecycle, including version control, continuous integration/continuous delivery (CI/CD), and monitoring

Target Career Roles

  • Desarrolladores y científicos de datos

02 / Lecciones y laboratorios

See exactly what you will learn and practice

Descargar esquema (PDF)

Plan de estudios

18 Lecciones interactivas · 93 topics
01 Introducción 3 topics
  • El examen de especialidad de aprendizaje automático certificado por AWS
  • Características de la guía de estudio
  • Objetivos del examen de especialidad de aprendizaje automático certificado por AWS
02 Pila de aprendizaje automático de IA de AWS 16 topics · 4 Laboratorio en vivo
  • Reconocimiento de Amazon
  • Amazon Textil
  • Transcripción de Amazon
  • Traductor de Amazon
  • polly amazona
  • amazona lex
  • amazona kendra
  • Amazon personalizar
  • Pronóstico de Amazon
  • Amazon comprende
  • Amazon CodeGuru
  • IA aumentada de Amazon
  • Amazon SageMaker
  • Dispositivos de aprendizaje automático de AWS
  • Resumen
  • Fundamentos del examen

4 Laboratorio en vivo in this lesson — see the labs panel →

03 Servicios de soporte de la pila de AWS 7 topics · 2 Laboratorio en vivo
  • Almacenamiento
  • VPC de Amazon
  • AWSLambda
  • Funciones de pasos de AWS
  • AWS RoboMaker
  • Resumen
  • Fundamentos del examen

2 Laboratorio en vivo in this lesson — see the labs panel →

04 Comprensión empresarial 4 topics
  • Fases de las cargas de trabajo de ML
  • Identificación de problemas comerciales
  • Resumen
  • Fundamentos del examen
05 Enmarcar un problema de aprendizaje automático 4 topics
  • Encuadre del problema de ML
  • Prácticas Recomendadas
  • Resumen
  • Fundamentos del examen

Laboratorios prácticos Our edge

26 Laboratorio en vivos
  • Detección de objetos en una imagen
  • Uso del traductor de Amazon
  • Uso de Amazon Transcribe y Polly
  • Uso de Amazon SageMaker
  • Creación de una función de AWS Lambda
  • Uso de funciones de paso
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.

03 / Detalles del examen

AWS Certified Machine Learning Specialty Training (MLS-C01) Detalles

La certificación AWS Certified Machine Learning - Specialty valida su comprensión de los conceptos fundamentales de ML, los fundamentos de la estadística, el análisis de datos, la exploración, la ingeniería de...

Objetivos oficiales del examen →
Questions 65  (por examen)
Duration 180 minutos (por examen)
Passing Score 750 (en una escala de 1000)
Exam Fee USD 300 (por examen)
Delivered by PSI or Pearson VUE (presencial u online)
Question Format Multiple choice and multiple response opción única/múltiple, basado en el desempeño
Exámenes de práctica 403 Preguntas de práctica (alineado con los objetivos oficiales del examen)
Certificación MLS-C01.AE1 Amazon credencial

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04 / Preguntas frecuentes

Preguntas antes de empezar

Contáctanos ↗
What is the AWS Machine Learning certification?
MLS-C01 is a certification exam conducted by AWS. It validates your skills for designing, building, training, and deploying machine learning (ML) models on the AWS platform. It is suitable for all those with some ML experience wanting to demonstrate their expertise in using AWS services.
What are the prerequisites for this course?
There are no formal prerequisites for the AWS Certified Machine Learning Specialty certification. However it’s an advanced-level course that requires a strong foundation in ML Learning concepts. To boost your understanding and speed up the learning process, you can do some base-level courses like AWS Certified Cloud Practitioner & AWS Certified Developer - Associate.
Does this course cover advanced ML concepts?
Yes, it covers the latest updates in ML learning concepts and provides a comprehensive coverage on several advanced topics. Some of the advanced ML topics include Deep Learning, Reinforcement Learning, Generative Models, Transfer Learning, Time Series Analysis, and Computer Vision.
What is the format of the AWS MLS-C01 exam?
The exam has 50 questions in total. It has multiple choice and multiple response questions.
How much does the AWS Certified Machine Learning – Specialty exam cost?
The certification exam price is $300.

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Invest In Your Future. Invest In This AWS Course.

Upscale your professional journey to the next level with this MLS-C01 prep course.

  • 1 año de acceso completo
  • 26 LiveLab incluido
  • Certificado de finalización
Comprar ahora — $279.99 Try Free

No se requiere tarjeta de crédito

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