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AWS
This is an introductory course on Amazon Translate, the AWS service that uses advanced machine learning technologies to provide high quality translation on demand. The course introduces you to the features and benefits of the service.
This is an introductory course on Amazon Translate, the AWS service that uses advanced machine learning technologies to provide high quality translation on demand. The course introduces you to the features and benefits of the service. We also walk through several use cases and examples of Amazon Translate so you can see the service in action.
Register for this course and see more details by visiting:
OpenCourser.com/course/oisdi6/introduction
What's inside
Syllabus
Introduction to Amazon Translate
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners about using Amazon Translate, an in-demand machine learning tool
Helps learners get started with Amazon Translate, no prior experience needed
Examines how to use Amazon Translate for different use cases
Provides examples of how Amazon Translate can be used in the real world
Taught by AWS, who are recognized for their work in cloud computing and machine learning
May be useful for learners who want to add machine learning translation skills to their resume
Save this course
Save Introduction to Amazon Translate 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 Introduction to Amazon Translate with these
activities:
Review foundational topics
Show steps
Reinforce your foundational understanding of natural language processing and machine learning to prepare for this course.
Browse courses on
Machine Learning
Show steps
-
Review course syllabus and identify prerequisite topics.
-
Find and review online resources, textbooks, or videos on these topics.
-
Take practice quizzes or complete sample exercises.
Review 'Natural Language Processing with Python'
Show steps
Expand your knowledge of natural language processing and Python by reading this supplemental book.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Purchase or borrow the book.
-
Read and take notes on the relevant chapters.
-
Complete the exercises and assignments in the book.
Join a study group or discussion forum
Show steps
Engage with fellow learners by joining a study group or online discussion forum.
Show steps
-
Find an online study group or discussion forum related to the course material.
-
Participate in discussions, ask questions, and share your insights.
-
Collaborate with others on projects or assignments.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Work through practice exercises
Show steps
Apply the concepts you're learning in the course by completing practice exercises and drills.
Show steps
-
Find practice problems or exercises related to the course material.
-
Solve the problems or complete the exercises.
-
Review your solutions and identify areas for improvement.
Explore tutorials and documentation
Show steps
Supplement your learning by exploring tutorials and documentation related to Amazon Translate.
Show steps
-
Search for tutorials or documentation on topics covered in the course.
-
Follow the tutorials or read the documentation to enhance your understanding.
-
Take notes or create summaries of key concepts.
Contribute to open source projects
Show steps
Apply your skills and contribute to the community by participating in open source projects related to machine learning or natural language processing.
Show steps
-
Identify open source projects that align with your interests.
-
Review the project documentation and contribute bug fixes or new features.
-
Collaborate with the project maintainers and community.
Build a translation app or demo
Show steps
Solidify your understanding by building a practical application or demo using Amazon Translate.
Show steps
-
Identify a project idea that utilizes Amazon Translate.
-
Plan and design your project.
-
Implement your project.
-
Test and iterate on your project.
-
Share your project with peers or instructors for feedback.
Review foundational topics
Show steps
Reinforce your foundational understanding of natural language processing and machine learning to prepare for this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review course syllabus and identify prerequisite topics.
- Find and review online resources, textbooks, or videos on these topics.
- Take practice quizzes or complete sample exercises.
Review 'Natural Language Processing with Python'
Show steps
Expand your knowledge of natural language processing and Python by reading this supplemental book.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book.
- Read and take notes on the relevant chapters.
- Complete the exercises and assignments in the book.
Join a study group or discussion forum
Show steps
Engage with fellow learners by joining a study group or online discussion forum.
Show steps
Show steps
Show steps
- Find an online study group or discussion forum related to the course material.
- Participate in discussions, ask questions, and share your insights.
- Collaborate with others on projects or assignments.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Work through practice exercises
Show steps
Apply the concepts you're learning in the course by completing practice exercises and drills.
Show steps
Show steps
Show steps
- Find practice problems or exercises related to the course material.
- Solve the problems or complete the exercises.
- Review your solutions and identify areas for improvement.
Explore tutorials and documentation
Show steps
Supplement your learning by exploring tutorials and documentation related to Amazon Translate.
Show steps
Show steps
Show steps
- Search for tutorials or documentation on topics covered in the course.
- Follow the tutorials or read the documentation to enhance your understanding.
- Take notes or create summaries of key concepts.
Contribute to open source projects
Show steps
Apply your skills and contribute to the community by participating in open source projects related to machine learning or natural language processing.
Show steps
Show steps
Show steps
- Identify open source projects that align with your interests.
- Review the project documentation and contribute bug fixes or new features.
- Collaborate with the project maintainers and community.
Build a translation app or demo
Show steps
Solidify your understanding by building a practical application or demo using Amazon Translate.
Show steps
Show steps
Show steps
- Identify a project idea that utilizes Amazon Translate.
- Plan and design your project.
- Implement your project.
- Test and iterate on your project.
- Share your project with peers or instructors for feedback.
Career center
Learners who complete Introduction to Amazon Translate will develop knowledge and skills
that may be useful to these careers:
Translator
Translator
Translators convert written or spoken text from one language into another. Amazon Translate is a service that uses advanced machine-learning technologies to provide high-quality translation. This course introduces you to the features and benefits of the service. Whether you are looking to work in an in-house or agency setting for companies who need content translated to expand their global reach, this course can give you the foundational knowledge to make you an ideal candidate.
Localization Manager
Localization Manager
Localization managers oversee the adaptation of products, services, or information for target audiences in specific regions or countries. Amazon Translate can be instrumental to your work handling the translation workflow. This course can help you better understand the features of the service and get the most out of Amazon Translate as you work to enhance your clients' global expansion.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural language processing engineers develop software that can understand and generate human language. Amazon Translate is an ideal service for NLP engineers to learn because it allows them to quickly add efficient and low-cost machine translation capabilities to their applications. This course can help you build a foundation in Amazon Translate so that you can use it to enhance your NLP projects.
Software Developer
Software Developer
Software developers design, develop, and test software applications. Amazon Translate is a cloud-based service that can be integrated into software applications to add machine translation capabilities. This course can help you learn how to use Amazon Translate in your software projects, making it easier for you to create multilingual applications.
Technical Writer
Technical Writer
Technical writers create documentation, such as user manuals, training materials, and technical reports. Amazon Translate can be used to translate technical documentation into multiple languages, ensuring that it is accessible to a global audience. This course can help you learn how to use Amazon Translate to streamline your technical writing process and reach a wider audience.
Web Developer
Web Developer
Web developers design and develop websites and web applications. Amazon Translate can be used to translate websites and web applications into multiple languages, making them accessible to a global audience. This course can help you learn how to use Amazon Translate to create multilingual websites and web applications, expanding the reach of your online presence.
Data Analyst
Data Analyst
Data analysts collect, clean, and analyze data to identify trends and patterns. Amazon Translate can be used to translate data into multiple languages, making it accessible to analysts who may not speak the original language. This course can help you learn how to use Amazon Translate to enhance your data analysis process and gain insights from multilingual data.
International Business Development Manager
International Business Development Manager
International business development managers identify and develop new business opportunities in foreign markets. Amazon Translate can be used to translate business proposals, presentations, and other marketing materials into multiple languages, ensuring that your company can effectively reach global customers. This course can help you learn how to use Amazon Translate to grow your business globally and build strong relationships with international partners.
Project Manager
Project Manager
Project managers plan, execute, and close projects. Amazon Translate can be used to translate project documents and communications into multiple languages, ensuring that all team members are on the same page. This course can help you learn how to use Amazon Translate to streamline your project management process and improve communication across global teams.
Marketing Manager
Marketing Manager
Marketing managers develop and execute marketing campaigns to promote products and services. Amazon Translate can be used to translate marketing materials into multiple languages, ensuring that campaigns reach a global audience. This course can help you learn how to use Amazon Translate to create multilingual marketing campaigns and expand the reach of your marketing efforts.
Business Analyst
Business Analyst
Business analysts identify and analyze business needs and develop solutions to improve business processes. Amazon Translate can be used to translate business documents and communications into multiple languages, ensuring that all stakeholders are on the same page. This course can help you learn how to use Amazon Translate to streamline your business analysis process and improve communication across global teams.
Customer Service Representative
Customer Service Representative
Customer service representatives provide support to customers and resolve their issues. Amazon Translate can be used to translate customer inquiries and communications into multiple languages, ensuring that customers can get support in their preferred language. This course can help you learn how to use Amazon Translate to improve the customer experience and build stronger relationships with global customers.
Sales Manager
Sales Manager
Sales managers lead and motivate sales teams to achieve sales targets. Amazon Translate can be used to translate sales materials and communications into multiple languages, ensuring that sales teams can effectively reach global customers. This course can help you learn how to use Amazon Translate to streamline your sales process and improve communication with global customers.
Language Teacher
Language Teacher
Language teachers teach students how to speak, read, and write in a foreign language. Amazon Translate can be used to supplement language instruction by providing students with real-world examples of how the language is used. This course can help you learn how to use Amazon Translate to enhance your language teaching and provide your students with a more immersive learning experience.
Academic Researcher
Academic Researcher
Academic researchers conduct research in a variety of fields, including literature, history, science, and social sciences. Amazon Translate can be used to translate research papers, articles, and other scholarly works into multiple languages, making them accessible to a global audience. This course can help you learn how to use Amazon Translate to enhance your research process and share your findings with a wider audience.
For more career information including salaries, visit:
OpenCourser.com/course/oisdi6/introduction
Reading list
We've selected seven 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 Amazon Translate.
This introductory textbook from 2010 would be helpful for learners seeking foundational knowledge of statistical machine translation.
Save
Provides a practical guide for using TensorFlow in NLP applications. It can serve as a companion text for this AWS course.
Offers a practical introduction to machine learning using popular Python libraries like Scikit-Learn, Keras, and TensorFlow.
Save
Provides an in-depth overview of deep learning. It valuable resource for learners who are new to the field.
This classic textbook provides a comprehensive overview of speech and language processing. It valuable resource for learners who are interested in this area of NLP.
Provides a gentle introduction to machine learning for text. It good choice for beginners who are interested in applying machine learning to NLP tasks.
Provides a practical introduction to NLP using the Natural Language Toolkit (NLTK) library in Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/oisdi6/introduction
Share
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Time
9 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Teaches learners about using Amazon Translate, an in-demand machine learning tool
Helps learners get started with Amazon Translate, no prior experience needed
Examines how to use Amazon Translate for different use cases
Provides examples of how Amazon Translate can be used in the real world
Taught by AWS, who are recognized for their work in cloud computing and machine learning
May be useful for learners who want to add machine learning translation skills to their resume
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