Machine Learning Implementation and Operations in AWS

This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

Instructor: Whizlabs Instructor

What you'll learn

  •    Design machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance
  •    Implement appropriate machine learning services and features for a given problem
  •    Develop machine learning solutions with lab demonstration

    • Skills you'll gain

  •   Machine Learning
  •   Data Security
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Scalability
  •   Cloud Computing
  •   Disaster Recovery
  •   AWS SageMaker
  •   MLOps (Machine Learning Operations)
  •   Cloud Security
  •   Amazon Web Services
  •   Applied Machine Learning
  •   Application Deployment

    • There are 2 modules in this course

    Module 1: Machine Learning Implementation Operations in AWS-Part 1 Module 2: Machine Learning Implementation Operations in AWS-Part 2 Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud. By the end of this course, Learners will be able to : -Design machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance -Implement appropriate machine learning services and features for a given problem -Develop machine learning solutions with lab

    Machine Learning Implementation and Operations in AWS-Part 2

    Explore more from Machine Learning

    Data Engineering in AWS

    Modeling in AWS

    Developing Machine Learning Solutions

    Introduction to Machine Learning on AWS

    ©2025  ementorhub.com. All rights reserved