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AWS
AWS Marketplace now provides over 100 curated machine learning algorithms and model packages. These models can help you avoid the undifferentiated heavy lifting involved in creating a model or algorithm from scratch.
Read more
AWS Marketplace now provides over 100 curated machine learning algorithms and model packages. These models can help you avoid the undifferentiated heavy lifting involved in creating a model or algorithm from scratch.
Read more
AWS Marketplace now provides over 100 curated machine learning algorithms and model packages. These models can help you avoid the undifferentiated heavy lifting involved in creating a model or algorithm from scratch.
AWS Marketplace now provides over 100 curated machine learning algorithms and model packages. These models can help you avoid the undifferentiated heavy lifting involved in creating a model or algorithm from scratch. This video reviews the benefits of this new addition to the AWS Marketplace, such as selling your own algorithms to other data scientists. We’ll also give a quick demo to show you how easy it is to get started.
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What's inside
Syllabus
Introduction to AWS Marketplace - Machine Learning Category
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Takes a pragmatic and detailed approach to machine learning algorithms and packages, which are imperative to industry
Teaches students how to avoid the heavy lifting involved in creating a model or algorithm from scratch, which can save time and resources
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to AWS Marketplace - Machine Learning Category with these
activities:
Review fundamental coding concepts (e.g., variables, data types, loops)
Show steps
Understanding the basics of coding will make learning algorithms and model packages in AWS Marketplace easier.
Show steps
-
Consult course syllabus to identify core coding concepts
-
Review online tutorials and resources on these concepts
-
Complete practice exercises to reinforce your understanding
Review basic data science concepts
Show steps
Refresh your understanding of core data science concepts such as statistical analysis, machine learning, and data visualization to strengthen your foundation for this course.
Browse courses on
Data Science Fundamentals
Show steps
-
Review textbooks or online resources on data science.
-
Complete practice problems and exercises related to data analysis.
-
Take a refresher course or workshop on data science.
Practice using AWS Marketplace to find and deploy machine learning algorithms
Show steps
Hands-on practice with AWS Marketplace will enhance your ability to apply the concepts learned in the course.
Show steps
-
Create an AWS account (if you don't already have one)
-
Log in to AWS Marketplace and search for machine learning algorithms
-
Deploy a few different algorithms and experiment with their settings
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a project that utilizes AWS Marketplace machine learning algorithms
Show steps
Creating a project will provide a practical application of the skills learned in the course and deepen your understanding.
Show steps
-
Identify a problem or use case that can be addressed with machine learning
-
Find suitable machine learning algorithms in AWS Marketplace
-
Develop and deploy a solution using the algorithms
-
Evaluate the results and iterate on your solution
Participate in a machine learning hackathon
Show steps
Engaging in a hackathon will challenge you to apply your skills in a competitive environment, fostering rapid learning and innovation.
Show steps
-
Find a hackathon that focuses on machine learning
-
Form a team or participate individually
-
Develop a solution to the hackathon challenge using AWS Marketplace machine learning algorithms
-
Present your solution and compete for prizes
Review fundamental coding concepts (e.g., variables, data types, loops)
Show steps
Understanding the basics of coding will make learning algorithms and model packages in AWS Marketplace easier.
Show steps
Show steps
Show steps
- Consult course syllabus to identify core coding concepts
- Review online tutorials and resources on these concepts
- Complete practice exercises to reinforce your understanding
Review basic data science concepts
Show steps
Refresh your understanding of core data science concepts such as statistical analysis, machine learning, and data visualization to strengthen your foundation for this course.
Browse courses on
Data Science Fundamentals
Show steps
Show steps
Show steps
- Review textbooks or online resources on data science.
- Complete practice problems and exercises related to data analysis.
- Take a refresher course or workshop on data science.
Practice using AWS Marketplace to find and deploy machine learning algorithms
Show steps
Hands-on practice with AWS Marketplace will enhance your ability to apply the concepts learned in the course.
Show steps
Show steps
Show steps
- Create an AWS account (if you don't already have one)
- Log in to AWS Marketplace and search for machine learning algorithms
- Deploy a few different algorithms and experiment with their settings
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a project that utilizes AWS Marketplace machine learning algorithms
Show steps
Creating a project will provide a practical application of the skills learned in the course and deepen your understanding.
Show steps
Show steps
Show steps
- Identify a problem or use case that can be addressed with machine learning
- Find suitable machine learning algorithms in AWS Marketplace
- Develop and deploy a solution using the algorithms
- Evaluate the results and iterate on your solution
Participate in a machine learning hackathon
Show steps
Engaging in a hackathon will challenge you to apply your skills in a competitive environment, fostering rapid learning and innovation.
Show steps
Show steps
Show steps
- Find a hackathon that focuses on machine learning
- Form a team or participate individually
- Develop a solution to the hackathon challenge using AWS Marketplace machine learning algorithms
- Present your solution and compete for prizes
Career center
Learners who complete Introduction to AWS Marketplace - Machine Learning Category will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses machine learning algorithms to extract insights from data, and identify and solve business problems. They also build and deploy machine learning models. This course will help you build a foundation in machine learning algorithms and model packages, which are essential skills for Data Scientists. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Data Scientists who want to use the latest and greatest machine learning technology.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They also work with Data Scientists to identify and solve business problems. This course will help you build a foundation in machine learning algorithms and model packages, which are essential skills for Machine Learning Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Machine Learning Engineers who want to use the latest and greatest machine learning technology.
Business Analyst
Business Analyst
A Business Analyst identifies and solves business problems. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Business Analysts. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Business Analysts who want to use the latest and greatest machine learning technology.
Data Architect
Data Architect
A Data Architect designs and implements data management solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Data Architects. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Data Architects who want to use the latest and greatest machine learning technology.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and deploys software applications. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Software Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Software Engineers who want to use the latest and greatest machine learning technology.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. They also use machine learning algorithms to extract insights from data. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Data Analysts. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Data Analysts who want to use the latest and greatest machine learning technology.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Database Administrators. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Database Administrators who want to use the latest and greatest machine learning technology.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Product Managers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Product Managers who want to use the latest and greatest machine learning technology.
Data Engineer
Data Engineer
A Data Engineer designs and implements data solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Data Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Data Engineers who want to use the latest and greatest machine learning technology.
Cloud Architect
Cloud Architect
A Cloud Architect designs and implements cloud computing solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Cloud Architects. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Cloud Architects who want to use the latest and greatest machine learning technology.
DevOps Engineer
DevOps Engineer
A DevOps Engineer automates the software development and deployment process. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for DevOps Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for DevOps Engineers who want to use the latest and greatest machine learning technology.
Security Engineer
Security Engineer
A Security Engineer designs and implements security solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Security Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Security Engineers who want to use the latest and greatest machine learning technology.
Systems Engineer
Systems Engineer
A Systems Engineer designs and implements systems solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for Systems Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for Systems Engineers who want to use the latest and greatest machine learning technology.
AI Engineer
AI Engineer
An AI Engineer designs and implements AI solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for AI Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for AI Engineers who want to use the latest and greatest machine learning technology.
ML Engineer
ML Engineer
An ML Engineer designs and implements ML solutions. They also work with stakeholders to gather requirements and develop solutions. This course will help you build a foundation in machine learning algorithms and model packages, which are valuable skills for ML Engineers. It will also give you experience using AWS Marketplace to find and use machine learning algorithms and model packages, which is a valuable skill for ML Engineers who want to use the latest and greatest machine learning technology.
For more career information including salaries, visit:
OpenCourser.com/course/xnka7l/introduction
Reading list
We've selected 12 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
Introduction to AWS Marketplace - Machine Learning Category.
Provides a comprehensive overview of machine learning from a probabilistic perspective, covering supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of statistical learning, covering supervised learning, unsupervised learning, and model selection.
Provides a comprehensive overview of pattern recognition and machine learning, covering supervised learning, unsupervised learning, and reinforcement learning.
Save
Provides a comprehensive overview of machine learning, covering supervised learning, unsupervised learning, and reinforcement learning.
Save
Provides a comprehensive overview of deep learning, covering neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Save
Provides a comprehensive overview of machine learning from an algorithmic perspective, covering supervised learning, unsupervised learning, and reinforcement learning.
Provides a practical introduction to machine learning with Python, covering data preprocessing, feature engineering, model selection, and model evaluation.
Provides a hands-on introduction to machine learning with Python, covering data preprocessing, feature engineering, model selection, and model evaluation.
Provides a practical introduction to machine learning with R, covering data preprocessing, feature engineering, model selection, and model evaluation.
Provides a comprehensive overview of machine learning, covering supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of machine learning algorithms, covering supervised learning, unsupervised learning, and reinforcement learning.
Provides a gentle introduction to machine learning, covering the key concepts and algorithms.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xnka7l/introduction
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Time
10 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Takes a pragmatic and detailed approach to machine learning algorithms and packages, which are imperative to industry
Teaches students how to avoid the heavy lifting involved in creating a model or algorithm from scratch, which can save time and resources
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