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AWS
This course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS.
This course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS. This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.
Register for this course and see more details by visiting:
OpenCourser.com/course/druiap/machine
What's inside
Syllabus
Machine Learning in the Cloud with AWS Batch
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Targets those wanting to use cloud tools to run and accelerate their machine learning applications
Provides an introduction suitable for beginners
Save this course
Save Machine Learning in the Cloud with AWS Batch to your list so you can find it easily later:
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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 Machine Learning in the Cloud with AWS Batch with these
activities:
Join a study group to discuss AWS Batch concepts and projects
Show steps
Peer collaboration can foster deeper understanding, as you can share knowledge, ask questions, and work through problems together.
Browse courses on
AWS Batch
Show steps
-
Find a study group or create your own.
-
Meet regularly to discuss AWS Batch concepts.
-
Work on projects together.
Complete the AWS Batch Workshop
Show steps
The workshop provides hands-on experience with AWS Batch, giving you the opportunity to apply your knowledge and reinforce your understanding.
Browse courses on
AWS Batch
Show steps
-
Follow the instructions in the workshop.
-
Complete the exercises and quizzes.
-
Troubleshoot any issues you encounter.
Create a knowledge base of AWS Batch resources
Show steps
Curating a compilation of resources can help you organize and retain information, making it easier to reference and review later.
Browse courses on
AWS Batch
Show steps
-
Collect resources such as documentation, tutorials, and blog posts.
-
Organize the resources into categories or topics.
-
Create a central location to store and access the resources.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a batch processing architecture for a ML application.
Show steps
Designing a batch processing architecture will force you to think critically about the components and their interactions, solidifying your understanding of AWS Batch and ML batch processing.
Browse courses on
AWS Batch
Show steps
-
Identify the requirements of your ML application.
-
Research and select appropriate AWS Batch components.
-
Design the architecture and workflow.
-
Implement and test the architecture.
Watch tutorials on advanced AWS Batch features
Show steps
Tutorials on advanced features can provide valuable insights into the capabilities of AWS Batch and help you expand your knowledge.
Browse courses on
AWS Batch
Show steps
-
Search for tutorials on specific features.
-
Follow the instructions and examples provided in the tutorials.
-
Experiment with the features in your own AWS Batch account.
Write a blog post or article about AWS Batch best practices
Show steps
Writing about the topic forces you to synthesize your knowledge and deepen your understanding, while also potentially benefiting others.
Browse courses on
AWS Batch
Show steps
-
Research best practices for AWS Batch.
-
Write a well-structured blog post or article.
-
Promote your blog post or article.
Contribute to open-source projects related to AWS Batch
Show steps
Contributing to open-source projects allows you to learn from others, apply your skills, and make a meaningful contribution to the community.
Browse courses on
AWS Batch
Show steps
-
Identify open-source projects related to AWS Batch.
-
Find a way to contribute, such as fixing bugs or adding features.
-
Submit your contributions to the project.
Join a study group to discuss AWS Batch concepts and projects
Show steps
Peer collaboration can foster deeper understanding, as you can share knowledge, ask questions, and work through problems together.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Find a study group or create your own.
- Meet regularly to discuss AWS Batch concepts.
- Work on projects together.
Complete the AWS Batch Workshop
Show steps
The workshop provides hands-on experience with AWS Batch, giving you the opportunity to apply your knowledge and reinforce your understanding.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Follow the instructions in the workshop.
- Complete the exercises and quizzes.
- Troubleshoot any issues you encounter.
Create a knowledge base of AWS Batch resources
Show steps
Curating a compilation of resources can help you organize and retain information, making it easier to reference and review later.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Collect resources such as documentation, tutorials, and blog posts.
- Organize the resources into categories or topics.
- Create a central location to store and access the resources.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Design a batch processing architecture for a ML application.
Show steps
Designing a batch processing architecture will force you to think critically about the components and their interactions, solidifying your understanding of AWS Batch and ML batch processing.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Identify the requirements of your ML application.
- Research and select appropriate AWS Batch components.
- Design the architecture and workflow.
- Implement and test the architecture.
Watch tutorials on advanced AWS Batch features
Show steps
Tutorials on advanced features can provide valuable insights into the capabilities of AWS Batch and help you expand your knowledge.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Search for tutorials on specific features.
- Follow the instructions and examples provided in the tutorials.
- Experiment with the features in your own AWS Batch account.
Write a blog post or article about AWS Batch best practices
Show steps
Writing about the topic forces you to synthesize your knowledge and deepen your understanding, while also potentially benefiting others.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Research best practices for AWS Batch.
- Write a well-structured blog post or article.
- Promote your blog post or article.
Contribute to open-source projects related to AWS Batch
Show steps
Contributing to open-source projects allows you to learn from others, apply your skills, and make a meaningful contribution to the community.
Browse courses on
AWS Batch
Show steps
Show steps
Show steps
- Identify open-source projects related to AWS Batch.
- Find a way to contribute, such as fixing bugs or adding features.
- Submit your contributions to the project.
Career center
Learners who complete Machine Learning in the Cloud with AWS Batch will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
If you're interested in a career as a Machine Learning Engineer, this course will provide you with a solid foundation in the principles and practices of machine learning. As a Machine Learning Engineer, you'll design, develop, and deploy machine learning models to solve real-world problems. You'll work with large datasets and use a variety of machine learning algorithms to train models that can make predictions or classifications. This course will give you hands-on experience in using AWS Batch to accelerate your machine learning applications, a valuable skill for any Machine Learning Engineer.
Data Scientist
Data Scientist
This course will help equip you for the role of Data Scientist, an expert who creates and applies algorithms to extract meaningful insights from vast amounts of data, including structured, semi-structured, and unstructured data. As a Data Scientist, you'll use statistical modeling, machine learning, and data mining to solve a variety of problems such as predicting customer behavior, detecting fraud, and optimizing marketing campaigns. This course will help you build a foundation in the core principles of machine learning and provide you with hands-on experience in using AWS Batch to accelerate your machine learning applications. This experience will be invaluable as you pursue a career in this exciting and growing field.
Cloud Architect
Cloud Architect
As a Cloud Architect, you'll design, build, and manage cloud-based systems. You'll have a deep understanding of cloud computing concepts and technologies, including AWS Batch. This course will provide you with the knowledge and skills you need to succeed in this role. You'll learn how to use AWS Batch to accelerate your machine learning applications, a valuable skill for any Cloud Architect.
DevOps Engineer
DevOps Engineer
In the role of DevOps Engineer, you'll be responsible for bridging the gap between development and operations teams. You'll have a strong understanding of both software development and IT operations. This course will help you build a foundation in the principles of machine learning and provide you with hands-on experience in using AWS Batch to accelerate your machine learning applications. These skills will be invaluable as you pursue a career as a DevOps Engineer.
Data Analyst
Data Analyst
This course can be useful as you explore the career of Data Analyst. In this role, you'll be responsible for collecting, cleaning, and analyzing data to identify trends and patterns. You'll use your findings to make recommendations and improve decision-making. This course will give you hands-on experience in using AWS Batch to accelerate your machine learning applications, a valuable skill for any Data Analyst.
Software Engineer
Software Engineer
As a Software Engineer, you'll be responsible for designing, developing, and testing software applications. You'll have a strong understanding of software development concepts and technologies, including AWS Batch. This course will provide you with the knowledge and skills you need to succeed in this role. You'll learn how to use AWS Batch to accelerate your machine learning applications, a valuable skill for any Software Engineer.
Research Scientist
Research Scientist
This course may be useful as you consider a career as a Research Scientist. In this role, you'll conduct research to advance the field of machine learning. You'll have a deep understanding of machine learning algorithms and techniques. This course will provide you with the knowledge and skills you need to succeed in this role. You'll learn how to use AWS Batch to accelerate your machine learning applications, a valuable skill for any Research Scientist.
Data Engineer
Data Engineer
This course may be useful as you explore the career of Data Engineer, a role responsible for designing, building, and managing data pipelines. You'll have a strong understanding of data engineering concepts and technologies, including AWS Batch. This course will provide you with the knowledge and skills you need to succeed in this role. You'll learn how to use AWS Batch to accelerate your machine learning applications, a valuable skill for any Data Engineer.
Machine Learning Researcher
Machine Learning Researcher
This course will help you build a foundation in the principles of machine learning and provide you with hands-on experience in using AWS Batch to accelerate your machine learning applications. This experience will be invaluable as you pursue a career as a Machine Learning Researcher, a role responsible for conducting research to advance the field of machine learning.
Cloud Computing Architect
Cloud Computing Architect
This course will help you build a foundation in the principles of cloud computing and provide you with hands-on experience in using AWS Batch to accelerate your machine learning applications. This experience will be invaluable as you pursue a career as a Cloud Computing Architect, a role responsible for designing and managing cloud-based systems.
Big Data Architect
Big Data Architect
This course may be useful as you explore the career of Big Data Architect. In this role, you'll be responsible for designing and managing big data systems. You'll have a deep understanding of big data concepts and technologies, including AWS Batch.
Machine Learning Operations Engineer
Machine Learning Operations Engineer
This course may be useful as you consider the career of Machine Learning Operations Engineer, a role responsible for deploying and maintaining machine learning models in production. You'll have a deep understanding of machine learning concepts and technologies, including AWS Batch.
Data Science Manager
Data Science Manager
This course may be useful as you consider the career of Data Science Manager, a role responsible for leading and managing a team of data scientists. You'll have a deep understanding of data science concepts and technologies, including AWS Batch.
Cloud Solutions Architect
Cloud Solutions Architect
This course will help you build a foundation in the principles of cloud computing and provide you with hands-on experience in using AWS Batch to accelerate your machine learning applications. This experience will be invaluable as you pursue a career as a Cloud Solutions Architect, a role responsible for designing and implementing cloud-based solutions.
Data Warehouse Architect
Data Warehouse Architect
This course may be useful as you explore the career of Data Warehouse Architect. In this role, you'll be responsible for designing and managing data warehouses. You'll have a deep understanding of data warehouse concepts and technologies, including AWS Batch.
For more career information including salaries, visit:
OpenCourser.com/course/druiap/machine
Reading list
We've selected nine 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
Machine Learning in the Cloud with AWS Batch.
Provides a comprehensive guide to using AWS Batch for cloud computing. It covers topics such as setting up AWS Batch, running batch jobs, and managing cloud resources.
Provides an overview of Google Cloud Platform (GCP) and how to use it to build and run machine learning applications. It covers topics such as data storage and management, machine learning algorithms, and deploying machine learning models.
Provides a comprehensive overview of big data analytics. It covers topics such as data storage and management, data processing, and machine learning algorithms.
Provides a non-technical overview of artificial intelligence. It covers topics such as the history of AI, the different types of AI, and the potential impact of AI on society.
Provides a comprehensive overview of machine learning algorithms. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Provides a comprehensive overview of reinforcement learning. It covers topics such as the basics of reinforcement learning, different reinforcement learning algorithms, and applications of reinforcement learning.
Save
Provides a comprehensive overview of deep learning. It covers topics such as the basics of deep learning, different deep learning architectures, and applications of deep learning.
Provides a comprehensive overview of statistical learning. It covers topics such as the basics of statistical learning, different statistical learning algorithms, and applications of statistical learning.
Provides a comprehensive overview of pattern recognition and machine learning. It covers topics such as the basics of pattern recognition and machine learning, different pattern recognition and machine learning algorithms, and applications of pattern recognition and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/druiap/machine
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Time
20 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Targets those wanting to use cloud tools to run and accelerate their machine learning applications
Provides an introduction suitable for beginners
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