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Modeling in AWS
  • Level Foundation
  • Duration 4 hours
  • Course by Whizlabs
  • Offered by

About

Modeling in AWS is the third course in the AWS Certified Machine Learning Specialty specialization. The major focus of this course is to train Machine learning Models by analyzing Modeling concepts in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 1:30 Hours- 2:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners. Module 1: Modeling and Training Machine Learning Models in AWS Module 2: Machine Learning Models: Performance evaluation and Tuning By the end of this course, Learners will be able to : 1. Analyze Modeling Concepts and train Machine Learning Models 2. Examine performance of machine learning models 3. Implement automatic model tuning by training a model

Modules

Introducing Modeling Concepts

    • 3 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introducing Modeling Concepts Knowledge Test

3 Videos

  • Introduction to AWS Machine Learning - Modeling
  • Modeling concepts-Part 1
  • Modeling concepts-Part 2

3 Readings

  • Course Outline
  • Welcome to the Course
  • Modeling and Training Machine Learning Models in AWS Overview

Train machine learning models

    • 5 Videos
    • 1 Discussion
    • 2 Assignment
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2 Assignment

  • Train machine learning models Knowledge Test
  • Week 1 Assessment

1 Discussions

  • Meet and Greet

5 Videos

  • Train Machine Learning Model - Load Data EDA & Preprocess
  • Train Machine Learning Models - Split the Dataset - Train - Test
  • Amazon Forecast
  • Amazon Forecast - Training Forecast
  • Amazon Forecast - Generate Forecast

Performance evaluation and Tuning

    • 6 Videos
    • 3 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Performance evaluation and Tuning Knowledge Test
  • Week 2 Assessment
  • Overall Course Assessment Quiz

6 Videos

  • Deploy and evaluate performance of machine learning models - lab
  • Perform automatic model tuning
  • Perform automatic model tuning - lab
  • Train model after automatic model tuning - lab
  • Exam tips Part 1
  • Exam tips Part 2

3 Readings

  • Machine Learning Models: Performance evaluation and Tuning Overview
  • Key Takeaways of Course
  • Course Conclusion

Auto Summary

"Modeling in AWS" is an essential course for anyone looking to deepen their knowledge in Data Science & AI, specifically within the AWS environment. As the third installment in the AWS Certified Machine Learning Specialty specialization, this course is expertly designed to help learners develop and refine their machine learning model training skills using AWS tools and concepts. Led by Coursera, this foundational course spans approximately 4 hours, packed with engaging video lectures and practical hands-on knowledge. The curriculum is structured into two comprehensive modules: "Modeling and Training Machine Learning Models in AWS" and "Machine Learning Models: Performance Evaluation and Tuning." Each module is further divided into detailed lessons and video lectures to ensure thorough understanding. Learners will benefit from a mix of theory and practical application, supported by graded and ungraded quizzes to assess their progress and understanding. By completing this course, participants will be equipped to analyze modeling concepts, train machine learning models, evaluate their performance, and implement automatic model tuning. Ideal for beginners and those at a foundational level in their machine learning journey, "Modeling in AWS" offers flexible subscription options, including Starter and Professional plans, making it accessible to a wide range of learners eager to advance their skills in this dynamic field.

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