Data Engineering with AWS Machine Learning from Pluralsight

Storing data for machine learning is challenging due to the varying formats and characteristics of data. Raw ingested data must first be transformed into the format necessary for downstream machine learning consumption, and once the data is ready to be used, it must be ingested from storage to the machine learning service. In this course, Data Engineering with AWS Machine Learning, you’ll learn to choose the right AWS service for each of these data-related machine learning ML tasks for any given scenario. First, you’ll explore the wide variety of data storage solutions available on AWS and what each type of storage is used for. Next, you’ll discover the differing AWS services used to ingest data into ML-specific services and when to use each one. Finally, you’ll learn how to transform your raw data into the proper formats used by the various AWS ML services. When you’re finished with this course, you’ll have the skills and knowledge of how to properly provide data solutions for storing, preparing, and ingesting data needed to architect data engineering solutions on AWS for Machine Learning, and be prepared to take the AWS Machine Learning Certification exam.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides real-world skills in storing, preparing, and ingesting data to architect data engineering solutions in AWS for Machine Learning

Taught by Kim Schmidt, recognized for their work in machine learning

Explores a wide variety of data storage solutions available on AWS

Covers the differing AWS services used to ingest data into ML-specific services

Examines data transformation into the proper formats used by the various AWS ML services

Career center

Learners who complete Data Engineering with AWS Machine Learning will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to solve business problems. Data Scientists use a variety of tools and techniques to extract insights from data, and they communicate these insights to stakeholders in a clear and concise way. Data Scientists work on a variety of projects, including predictive modeling, customer segmentation, and fraud detection. This course will help you become a Data Scientist by teaching you how to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Scientists who need to develop machine learning models that are accurate and efficient.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, deploy, and manage machine learning models that help companies make better decisions. Machine Learning Engineers work with data scientists to understand the business problem and the data that is available to solve it, and then they design and build the machine learning model that will solve the problem. Machine Learning Engineers also work with software engineers to deploy the machine learning model into production and monitor its performance. This course will help you become a Machine Learning Engineer by teaching you how to store, prepare, and ingest data for machine learning. This knowledge is essential for Machine Learning Engineers who need to develop machine learning models that are accurate and efficient.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help companies make better decisions. Data Analysts use a variety of tools and techniques to extract insights from data, and they communicate these insights to stakeholders in a clear and concise way. This course will help you become a Data Analyst by teaching you how to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Analysts who need to extract insights from data that is stored in a variety of formats.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design, construct, deploy, and manage the systems that store and process massive amounts of data. Data Engineers develop solutions to scalable data infrastructure challenges for analysis and decision-making. Data Engineers are responsible for improving data storage, performance, and scalability, as well as data accessibility and security. They keep data safe and reliable for a variety of end-users and applications, and they develop ways to store and organize data to enable companies to quickly use their data to develop valuable products, services, competitive advantages, and actionable business strategies. This course will prepare you for the role by teaching you how to use various AWS services to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Engineers who need to provide data solutions for storing, preparing, and ingesting data needed to architect data engineering solutions on AWS for Machine Learning.

See salaries and explore the career path for Data Engineer

Cloud Architect

Cloud Architects design, build, and manage cloud computing solutions. Cloud Architects work with customers to understand their business needs and then design and build a cloud computing solution that meets those needs. Cloud Architects also work with DevOps engineers to deploy and manage the cloud computing solution. This course may be useful for Cloud Architects who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Cloud Architects who need to design and build cloud computing solutions that support machine learning.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers work with software engineers to develop, deploy, and manage software applications. DevOps Engineers use a variety of tools and techniques to automate the software development and deployment process. This course may be useful for DevOps Engineers who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for DevOps Engineers who need to automate the deployment and management of machine learning applications.

See salaries and explore the career path for DevOps Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. Software Engineers use a variety of programming languages and tools to create software applications that meet the needs of users. This course may be useful for Software Engineers who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Software Engineers who need to develop software applications that use machine learning.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators design, build, and manage databases. Database Administrators use a variety of tools and techniques to create and maintain databases that meet the needs of users. This course may be useful for Database Administrators who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Database Administrators who need to develop and maintain databases that support machine learning.

See salaries and explore the career path for Database Administrator

Business Analyst

Business Analysts work with businesses to understand their business needs and then develop solutions to meet those needs. Business Analysts use a variety of tools and techniques to gather and analyze data, and they communicate their findings to stakeholders in a clear and concise way. This course may be useful for Business Analysts who need to learn how to use data to solve business problems. This knowledge is essential for Business Analysts who need to develop solutions that are based on data.

See salaries and explore the career path for Business Analyst

Data Warehouse Engineer

Data Warehouse Engineers design, build, and manage data warehouses. Data Warehouse Engineers use a variety of tools and techniques to extract, transform, and load data into a data warehouse. Data Warehouse Engineers also work with data analysts and data scientists to develop and maintain data warehouse queries. This course may be useful for Data Warehouse Engineers who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Warehouse Engineers who need to develop and maintain data warehouses that support machine learning.

See salaries and explore the career path for Data Warehouse Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineers deploy, monitor, and maintain machine learning models. Machine Learning Operations Engineers use a variety of tools and techniques to ensure that machine learning models are deployed and maintained in a scalable and reliable way. This course may be useful for Machine Learning Operations Engineers who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Machine Learning Operations Engineers who need to deploy and maintain machine learning models that are accurate and efficient.

See salaries and explore the career path for Machine Learning Operations Engineer

Data Architect

Data Architects design, build, and manage data architectures. Data Architects use a variety of tools and techniques to create and maintain data architectures that meet the needs of users. This course may be useful for Data Architects who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Architects who need to develop and maintain data architectures that support machine learning.

See salaries and explore the career path for Data Architect

Project Manager

Project Managers plan, execute, and close projects. Project Managers use a variety of tools and techniques to manage projects, and they work with stakeholders to ensure that projects are completed on time, within budget, and to the required quality. This course may be useful for Project Managers who need to learn how to manage projects that involve data science and machine learning. This knowledge is essential for Project Managers who need to manage projects that are successful.

See salaries and explore the career path for Project Manager

Data Privacy Analyst

Data Privacy Analysts develop and implement policies and procedures for the protection of data. Data Privacy Analysts work with stakeholders to ensure that data is used in a compliant and ethical manner. This course may be useful for Data Privacy Analysts who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Privacy Analysts who need to develop and implement policies and procedures that support machine learning.

See salaries and explore the career path for Data Privacy Analyst

Data Governance Analyst

Data Governance Analysts develop and implement policies and procedures for the management of data. Data Governance Analysts work with stakeholders to ensure that data is used in a consistent and ethical manner. This course may be useful for Data Governance Analysts who need to learn how to store, prepare, and ingest data for machine learning. This knowledge is essential for Data Governance Analysts who need to develop and implement policies and procedures that support machine learning.

See salaries and explore the career path for Data Governance Analyst

Reading list

We haven't picked any books for this reading list yet.

Data Engineering with AWS Machine Learning

Here's a deal for you

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses