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Natural Language Processing on Google Cloud
Google Cloud
Google Cloud
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Read more
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Read more
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Register for this course and see more details by visiting:
OpenCourser.com/course/npkvuy/natural
What's inside
Syllabus
Course introduction
NLP on Google Cloud
NLP with Vertex AI
Text representatation
Read more
Syllabus
Course introduction
NLP on Google Cloud
NLP with Vertex AI
Text representatation
Read more
NLP models
Advanced NLP models
Course summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores NLP problems on Google Cloud, which is standard in industry
Investigates NLP with Vertex AI and TensorFlow, which are core tools for NLP
Taught by Google Cloud, who are prominent in their field of NLP
Develops essential skills for those seeking to work with NLP
Covers NLP text representation, models, and advanced models
May require previous experience in NLP or related fields
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Activities
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Natural Language Processing on Google Cloud.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Natural Language Processing on Google Cloud will develop knowledge and skills
that may be useful to these careers:
NLP Product Manager
NLP Product Manager
An NLP Product Manager manages the development and launch of NLP products. This course provides a comprehensive overview of the products and solutions to solve NLP problems on Google Cloud. The course also explores the processes, techniques, and tools to develop an NLP project with neural networks using Vertex AI and TensorFlow, which are essential knowledge for an NLP Product Manager.
NLP Researcher
NLP Researcher
An NLP Researcher conducts research on NLP models and algorithms. This course provides a comprehensive overview of the products and solutions to solve NLP problems on Google Cloud. The course also explores the processes, techniques, and tools to develop an NLP project with neural networks using Vertex AI and TensorFlow, which are essential knowledge for an NLP Researcher.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs, develops, and implements NLP models and algorithms. This course provides a comprehensive overview of the products and solutions to solve NLP problems on Google Cloud. The course also explores the processes, techniques, and tools to develop an NLP project with neural networks using Vertex AI and TensorFlow, which are essential skills for a Natural Language Processing Engineer.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to extract meaningful insights and make data-driven decisions. This course may be useful in providing a foundation for understanding the techniques and tools used in NLP. The course also explores text representation and NLP models, which are essential knowledge for a Data Analyst working in the field of NLP.
Data Scientist
Data Scientist
A Data Scientist collects, analyzes, and interprets data to extract meaningful insights and make data-driven decisions. This course may be useful in providing a foundation for understanding the techniques and tools used in NLP. The course also explores text representation and NLP models, which are essential knowledge for a Data Scientist working in the field of NLP.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and implements machine learning models and algorithms. This course may be useful in providing a foundation for understanding the processes, techniques, and tools used in developing NLP projects with neural networks. The course also explores NLP models and advanced NLP models, which are essential knowledge for a Machine Learning Engineer working in the field of NLP.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and implements software applications. This course may be useful in providing a foundation for understanding the processes, techniques, and tools used in developing NLP projects with neural networks. The course also explores NLP models and advanced NLP models, which are essential knowledge for a Software Engineer working in the field of NLP.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for a Technical Writer working in the field of NLP.
User Experience Designer
User Experience Designer
A User Experience Designer designs and develops user interfaces for software applications. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for a User Experience Designer working in the field of NLP.
Product Designer
Product Designer
A Product Designer designs and develops products. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for a Product Designer working in the field of NLP.
Interaction Designer
Interaction Designer
An Interaction Designer designs and develops the user interaction for software applications. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for an Interaction Designer working in the field of NLP.
Information Architect
Information Architect
An Information Architect designs and organizes the structure and content of websites and other information systems. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for an Information Architect working in the field of NLP.
Instructional Designer
Instructional Designer
An Instructional Designer designs and develops educational materials. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for an Instructional Designer working in the field of NLP.
Curriculum Developer
Curriculum Developer
A Curriculum Developer designs and develops educational curricula. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for a Curriculum Developer working in the field of NLP.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. This course may be useful in providing a foundation for understanding the processes and techniques used in developing NLP projects. The course also explores NLP models and advanced NLP models, which are essential knowledge for a Business Analyst working in the field of NLP.
For more career information including salaries, visit:
OpenCourser.com/course/npkvuy/natural
Reading list
We've selected 11 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
Natural Language Processing on Google Cloud.
Save
Provides a comprehensive overview of the field of natural language processing, covering a wide range of topics from the history of NLP to the latest advances in the field. It valuable resource for anyone looking to learn more about NLP.
Provides a comprehensive overview of the statistical foundations of natural language processing. It valuable resource for anyone looking to learn more about the theoretical foundations of NLP.
Provides a comprehensive overview of deep learning for natural language processing, covering the core concepts and techniques used in the field. It valuable resource for anyone looking to learn more about NLP or to develop NLP applications.
Provides a comprehensive introduction to natural language processing, covering the core concepts and techniques used in the field. It valuable resource for anyone looking to learn more about NLP or to develop NLP applications.
Provides a comprehensive overview of pattern recognition and machine learning, two fields that are closely related to natural language processing. It valuable resource for anyone looking to learn more about the theoretical foundations of NLP.
Provides a comprehensive overview of information theory, inference, and learning algorithms, three fields that are closely related to natural language processing. It valuable resource for anyone looking to learn more about the theoretical foundations of NLP.
Save
Provides a comprehensive overview of semantics, a field that is closely related to natural language processing. It valuable resource for anyone looking to learn more about the theoretical foundations of NLP.
Provides a comprehensive overview of pragmatics, a field that is closely related to natural language processing. It valuable resource for anyone looking to learn more about the theoretical foundations of NLP.
Provides a comprehensive overview of speech and language processing, covering the foundational concepts and techniques used in the field. It valuable resource for anyone looking to learn more about NLP or to develop NLP applications.
Save
Provides a practical introduction to natural language processing using TensorFlow, one of the most popular deep learning frameworks. It valuable resource for anyone looking to learn more about NLP or to develop NLP applications using TensorFlow.
Provides a comprehensive overview of statistical learning, a field that is closely related to natural language processing. It valuable resource for anyone looking to learn more about the statistical foundations of NLP.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/npkvuy/natural
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Time
195 hours
Level
Intermediate
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
Explores NLP problems on Google Cloud, which is standard in industry
Investigates NLP with Vertex AI and TensorFlow, which are core tools for NLP
Taught by Google Cloud, who are prominent in their field of NLP
Develops essential skills for those seeking to work with NLP
Covers NLP text representation, models, and advanced models
May require previous experience in NLP or related fields
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