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AWS Foundations
How Amazon SageMaker Can Help
AWS
AWS
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review key Amazon SageMaker features.
Read more
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review key Amazon SageMaker features.
Read more
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review key Amazon SageMaker features.
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features.
Register for this course and see more details by visiting:
OpenCourser.com/course/0c823n/aws
What's inside
Syllabus
AWS Foundations: How Amazon SageMaker Can Help
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Designed for learners who have experience working with machine learning but less experience working with AI
Course is industry standard and is taught by Amazon experts
Taught by AWS, an industry expert in cloud services
Offers a comprehensive study of Amazon SageMaker features and services
Develops skills and knowledge highly relevant to cloud computing
Assumes basic knowledge of machine learning
May be less suitable for learners who are complete beginners in machine learning
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Activities
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AWS Foundations: How Amazon SageMaker Can Help.
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Career center
Learners who complete AWS Foundations: How Amazon SageMaker Can Help will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers work on various aspects of building and managing machine learning models. They collaborate with data scientists and software engineers to bring these models to production. This course may be useful as it provides an overview of Amazon SageMaker, a platform that helps automate and simplify the process of building, training, and deploying machine learning models.
Data Scientist
Data Scientist
Data Scientists build, train, and evaluate machine learning models to solve various business problems. They work closely with business stakeholders to understand their needs and develop solutions that meet their requirements. This course may be useful as it provides an overview of Amazon SageMaker, a platform that streamlines the process of building and deploying machine learning models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work on various aspects of the software development lifecycle, from requirements gathering to deployment and maintenance. Those who develop software in the machine learning domain may find this course helpful as it provides an overview of Amazon SageMaker, a platform that can simplify the process of building and deploying machine learning models.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract meaningful insights. They work closely with business stakeholders to understand their needs and develop reports and visualizations that help them make informed decisions. Those involved in data analysis who want to learn more about machine learning may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Business Analyst
Business Analyst
Business Analysts work with business stakeholders to understand their needs and develop solutions that meet their requirements. This typically involves gathering requirements, analyzing data, and developing reports and presentations. Those interested in learning more about the use of machine learning models in a business context may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Product Manager
Product Manager
Product Managers are responsible for the development and management of software products. They work closely with engineers, designers, and other stakeholders to ensure that products meet the needs of users. Those working on machine learning based products may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and develop financial models. They work in various industries, including investment banking, hedge funds, and asset management. Those involved in developing quantitative models may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical methods to solve complex problems in various industries, including manufacturing, logistics, and healthcare. They work on projects such as optimizing supply chains, scheduling employees, and designing production systems. Those interested in using machine learning methods to solve operational problems may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct research to understand consumer behavior and market trends. They work on projects such as developing new products, launching marketing campaigns, and evaluating the effectiveness of advertising campaigns. Those interested in using machine learning methods to analyze market data may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Risk Analyst
Risk Analyst
Risk Analysts identify, assess, and mitigate risks. They work in various industries, including finance, insurance, and healthcare. Those interested in using machine learning methods to identify and assess risks may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Financial Analyst
Financial Analyst
Financial Analysts provide financial advice to individuals and organizations. They work on projects such as evaluating investment opportunities, developing financial plans, and managing portfolios. Those interested in using machine learning methods to analyze financial data may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Actuary
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. They work in various industries, including insurance, finance, and healthcare. Those interested in using machine learning methods to assess risk may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. They work in various industries, including healthcare, education, and government. Those interested in using machine learning methods to analyze data may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work on projects such as extracting data from various sources, cleaning and transforming data, and loading data into data warehouses. Those interested in using machine learning methods to build data pipelines may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. They work on projects such as creating database schemas, managing user access, and optimizing database performance. Those interested in using machine learning methods to manage databases may find this course helpful as it provides an overview of Amazon SageMaker, a platform used to build and deploy machine learning models.
For more career information including salaries, visit:
OpenCourser.com/course/0c823n/aws
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AWS Foundations: How Amazon SageMaker Can Help.
Provides a comprehensive overview of artificial intelligence on AWS. It covers a wide range of topics, including machine learning, deep learning, and natural language processing.
Provides a comprehensive overview of machine learning. It valuable resource for anyone who wants to learn more about machine learning and how to use it in real-world scenarios.
Provides a comprehensive overview of natural language processing. It valuable resource for anyone who wants to learn more about natural language processing and how to use it in real-world scenarios.
Provides a comprehensive overview of computer vision. It valuable resource for anyone who wants to learn more about computer vision and how to use it in real-world scenarios.
Provides a comprehensive overview of machine learning with R. It valuable resource for anyone who wants to learn more about machine learning and how to use it in real-world scenarios.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0c823n/aws
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Time
22 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Designed for learners who have experience working with machine learning but less experience working with AI
Course is industry standard and is taught by Amazon experts
Taught by AWS, an industry expert in cloud services
Offers a comprehensive study of Amazon SageMaker features and services
Develops skills and knowledge highly relevant to cloud computing
Assumes basic knowledge of machine learning
May be less suitable for learners who are complete beginners in machine learning
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