Data Engineering with AWS Machine Learning
This course provides an overview of data engineering with AWS Machine Learning, covering topics such as selecting the right AWS data repositories, ingestion services, and transformation services. Learn how to make cost-effective, best-practice decisions for your data engineering projects. ▼
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Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
Unlock the Exciting World of Learning! Here's What Awaits You:
Data Engineering with AWS Machine Learning is an online course that will teach you how to properly provide data solutions for storing, preparing, and ingesting data needed to architect data engineering solutions on AWS for Machine Learning. You will explore the wide variety of data storage solutions available on AWS and what each type of storage is used for. You will also discover the differing AWS services used to ingest data into ML-specific services and when to use each one. Finally, you will learn how to transform your raw data into the proper formats used by the various AWS ML services. By the end of the course, you will have the skills and knowledge to take the AWS Machine Learning Certification exam.
[Applications]
Upon completion of this course, learners are encouraged to apply their knowledge by creating data engineering solutions on AWS for Machine Learning. Learners should also consider taking the AWS Machine Learning Certification exam to demonstrate their expertise in the field.
[Career Paths]
Recommended Career Paths:
1. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data pipelines and architectures. They are also responsible for ensuring that data is properly stored, secured, and accessible. Data Engineers must have a strong understanding of data structures, algorithms, and software engineering principles. With the increasing demand for data-driven solutions, Data Engineers are in high demand and the role is expected to continue to grow.
2. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models. They must have a strong understanding of machine learning algorithms, data engineering, and software engineering principles. As machine learning becomes more widely adopted, the demand for Machine Learning Engineers is expected to increase.
3. Data Scientist: Data Scientists are responsible for analyzing data and extracting insights from it. They must have a strong understanding of statistics, mathematics, and computer science. Data Scientists are in high demand and the role is expected to continue to grow as organizations become more data-driven.
4. Business Intelligence Analyst: Business Intelligence Analysts are responsible for analyzing data and providing insights to help organizations make better decisions. They must have a strong understanding of data analysis, data visualization, and business intelligence tools. As organizations become more data-driven, the demand for Business Intelligence Analysts is expected to increase.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and cloud computing. This degree is ideal for those looking to pursue a career in data engineering and machine learning.
2. Master of Science in Data Science: This degree program focuses on the application of data science principles to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. This degree is ideal for those looking to pursue a career in data engineering and machine learning.
3. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems and their applications. It covers topics such as natural language processing, computer vision, and robotics. This degree is ideal for those looking to pursue a career in data engineering and machine learning.
4. Master of Science in Cloud Computing: This degree program focuses on the development of cloud-based applications and services. It covers topics such as distributed computing, cloud security, and cloud storage. This degree is ideal for those looking to pursue a career in data engineering and machine learning.
The development trends for these degree paths are focused on the use of big data, machine learning, and artificial intelligence to solve complex problems. As the demand for data engineers and machine learning experts continues to grow, these degree paths will become increasingly important for those looking to pursue a career in this field.
Course Provider
Provider Pluralsight's Stats at AZClass
Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Machine Learning skills no matter in career or in further education. Even if you are only slightly interested, you can take Data Engineering with AWS Machine Learning course with confidence!
Discussion and Reviews
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Quiz
Submitted Sucessfully
1. What is the main purpose of this course?
2. Which of the following is not a type of data storage solution available on AWS?
3. Which AWS service is used to ingest data into ML-specific services?
4. What is the purpose of this course?
Correct Answer: To provide data solutions for storing, preparing, and ingesting data needed to architect data engineering solutions on AWS for Machine Learning.
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