(1045) 2020 AWS SageMaker, AI and Machine Learning Specialty Exam

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Complete Guide to AWS Certified Machine Learning (MLS-C01) - Specialty and Practice Test

What you'll learn

  • Learn AWS Machine Learning algorithms, Predictive Quality assessment, Model Optimization
  • Integrate predictive models with your application using simple and secure APIs
  • Convert your ideas into highly scalable products in days
  • Practice test and resources to gain AWS Certified Machine Learning - Specialty Certification (MLS-C01)

Requirements

  • Familiarity with Python
  • AWS Account - I will walk through steps to setup one
  • Basic knowledge of Pandas, Numpy, Matplotlib
  • Be an active learner and use course discussion forum if you need help - Please don't put help needed items in course review

 Integration

* Learning algorithms is one part of the story - You need to know how to integrate the trained models in your application.
* You will learn how to host your models, scale on-demand, handle failures
* Provide a clean interface for the applications using Lambda and API Gateway

Data Lake

* Data management is one of the most complex and time-consuming activities when working on machine learning projects.
* With AWS, you have a variety of powerful tools for ingesting, cataloging, transforming, securing, visualization of your data assets.
* We will build a data lake solution in this course.

Machine Learning Certification

* If you are planning to get AWS Machine Learning Specialty Certification, you will find all the resources that you need to pass the exam in this course.

 Who this course is for:

  • This course is designed for anyone who is interested in AWS cloud based machine learning and data science
  • AWS Certified Machine Learning - Specialty Preparation 

Chandra Lingam

Data Scientist and Solutions Architect

Chandra Lingam is an expert on Amazon Web Services, mission critical systems and machine learning. He has a rich background in systems development in both traditional IT data center and Cloud based infrastructure. For those new to AWS, he is uniquely positioned to guide you to become an expert in AWS Cloud Platform.

Prior to becoming a full-time course developer and instructor, he spent 15 years at Intel, developing and managing systems that handled hundreds of terabytes of worldwide factory data.
He has a Master's degree in Computer Science from Arizona State University, Tempe and Bachelor's degree in Computer Science from Thiagarajar College of Engineering, Madurai
Source :  https://www.udemy.com/course/aws-machine-learning-a-complete-guide-with-python/