AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS

Amazon Web Services 2021    |    Intermediate
  • 12 Videos | 35m 22s
  • Includes Assessment
  • Earns a Badge
Likes 49 Likes 49
Machine learning (ML) has become indispensable across all industries. With staggering amounts of data generated globally every second, it's impossible to make sense of it without using such advanced data analytics. The AWS Certified Machine Learning - Specialty certification is one of the most coveted yet challenging certs a data engineer or scientist can get. To pass the associated exam, candidates must demonstrate knowledge of various machine learning concepts and the ability to solve real-world business challenges. Use this course to prepare for acquiring this valuable certification. Get to grips with key data engineering and machine learning terminology, concepts, tools, tasks, and workflows. Then, dive into how the AWS Machine Learning platform is used for real-world applications. Upon completing this course, you'll recognize key ML concepts and how to prepare datasets, develop ML models, and optimize models for improved predictive accuracy.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    define the basics of data engineering, its real-world applications, and the role of a data engineer
    describe the main stages of the data science pipeline (collect, store, transform, label, and optimize)
    define machine learning and list its applications in the real world
    define terminology used in machine learning and name typical approaches and workflows
    compare machine learning to other fields, like artificial intelligence, data mining, and statistics, discussing applications, limitations, and ethics
  • describe how data repositories and data warehouses are used
    describe how data ingestion works and define a data pipeline
    describe how to transform data for processing
    outline the basic concept behind Amazon Web Services and describe its capabilities
    describe the ML capabilities of the AWS platform, various tools it offers, and example real-world applications where it can be used
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 8s
    UP NEXT
  • Playable
    2. 
    What Is Data Engineering?
    5m 40s
  • Locked
    3. 
    Hierarchy of Data Needs
    1m 44s
    FREE ACCESS
  • Locked
    4. 
    What Is Machine Learning?
    2m 13s
    FREE ACCESS
  • Locked
    5. 
    Machine Learning Pipelines, Approaches, & Workflows
    5m 16s
    FREE ACCESS
  • Locked
    6. 
    Machine Learning, AI, Data Mining, and Statistics
    2m 42s
    FREE ACCESS
  • Locked
    7. 
    Data Repositories and Data Warehouses
    2m 28s
    FREE ACCESS
  • Locked
    8. 
    Data Pipelines and Data Ingestion
    2m 40s
    FREE ACCESS
  • Locked
    9. 
    Data Processing and Transformations
    1m 34s
    FREE ACCESS
  • Locked
    10. 
    What Is Amazon Web Services (AWS)?
    6m 59s
    FREE ACCESS
  • Locked
    11. 
    Machine Learning with AWS
    2m 17s
    FREE ACCESS
  • Locked
    12. 
    Course Summary
    43s
    FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

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