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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.
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
Save this course
Save Natural Language Processing on Google Cloud 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 Natural Language Processing on Google Cloud with these
activities:
Review Basic AI Math
Show steps
Refreshes your knowledge foundational AI math concepts you may have forgotten and sets you up to build quality ML models.
Browse courses on
TensorFlow
Show steps
-
Revisit probability and statistics concepts.
-
Reread your notes or a quick online refresher on linear algebra.
-
Take a practice quiz online or find practice problems on a site like LeetCode.
Read: Natural Language Processing with Python
Show steps
Provides a comprehensive introduction to NLP and its applications with practical Python-based code examples.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read and understand the concepts and techniques of NLP.
-
Complete the exercises and projects at the end of each chapter.
Follow tutorials on building NLP models.
Show steps
Provides step-by-step guidance on how to build NLP models using popular tools and libraries.
Show steps
-
Search for tutorials on building NLP models using Vertex AI and TensorFlow.
-
Follow the tutorials and complete the exercises.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve NLP coding challenges.
Show steps
Helps reinforce your understanding of NLP algorithms and techniques.
Show steps
-
Find coding challenges on websites like HackerRank or LeetCode.
-
Solve the challenges using NLP techniques.
Participate in NLP workshops.
Show steps
Provides an immersive learning experience where you can work on NLP projects under the guidance of experts.
Show steps
-
Search for NLP workshops in your area.
-
Attend the workshops and actively participate in the exercises and discussions.
Build a chatbot for customer service.
Show steps
Provides hands-on experience in designing and developing an NLP-based application.
Show steps
-
Define the requirements and scope of the chatbot.
-
Design the architecture of the chatbot.
-
Develop the chatbot using Vertex AI and TensorFlow.
-
Test and evaluate the chatbot.
-
Deploy the chatbot on a cloud platform.
Attend NLP meetups and conferences.
Show steps
Provides access to industry experts and the opportunity to learn from their experiences.
Show steps
-
Search for NLP meetups and conferences in your area.
-
Attend the events and network with other professionals.
Write blog posts about NLP.
Show steps
Helps solidify your understanding of NLP concepts and techniques by writing about them.
Show steps
-
Choose NLP topics that you want to write about.
-
Write blog posts that explain the concepts and techniques in a clear and concise manner.
-
Share your blog posts on social media or other platforms.
Develop an NLP project for your portfolio.
Show steps
Provides evidence of your NLP skills and knowledge.
Show steps
-
Define the scope and requirements of the project.
-
Design and develop the project using NLP techniques.
-
Present your project in a professional manner.
Review Basic AI Math
Show steps
Refreshes your knowledge foundational AI math concepts you may have forgotten and sets you up to build quality ML models.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Revisit probability and statistics concepts.
- Reread your notes or a quick online refresher on linear algebra.
- Take a practice quiz online or find practice problems on a site like LeetCode.
Read: Natural Language Processing with Python
Show steps
Provides a comprehensive introduction to NLP and its applications with practical Python-based code examples.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read and understand the concepts and techniques of NLP.
- Complete the exercises and projects at the end of each chapter.
Follow tutorials on building NLP models.
Show steps
Provides step-by-step guidance on how to build NLP models using popular tools and libraries.
Show steps
Show steps
Show steps
- Search for tutorials on building NLP models using Vertex AI and TensorFlow.
- Follow the tutorials and complete the exercises.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve NLP coding challenges.
Show steps
Helps reinforce your understanding of NLP algorithms and techniques.
Show steps
Show steps
Show steps
- Find coding challenges on websites like HackerRank or LeetCode.
- Solve the challenges using NLP techniques.
Participate in NLP workshops.
Show steps
Provides an immersive learning experience where you can work on NLP projects under the guidance of experts.
Show steps
Show steps
Show steps
- Search for NLP workshops in your area.
- Attend the workshops and actively participate in the exercises and discussions.
Build a chatbot for customer service.
Show steps
Provides hands-on experience in designing and developing an NLP-based application.
Show steps
Show steps
Show steps
- Define the requirements and scope of the chatbot.
- Design the architecture of the chatbot.
- Develop the chatbot using Vertex AI and TensorFlow.
- Test and evaluate the chatbot.
- Deploy the chatbot on a cloud platform.
Attend NLP meetups and conferences.
Show steps
Provides access to industry experts and the opportunity to learn from their experiences.
Show steps
Show steps
Show steps
- Search for NLP meetups and conferences in your area.
- Attend the events and network with other professionals.
Write blog posts about NLP.
Show steps
Helps solidify your understanding of NLP concepts and techniques by writing about them.
Show steps
Show steps
Show steps
- Choose NLP topics that you want to write about.
- Write blog posts that explain the concepts and techniques in a clear and concise manner.
- Share your blog posts on social media or other platforms.
Develop an NLP project for your portfolio.
Show steps
Provides evidence of your NLP skills and knowledge.
Show steps
Show steps
Show steps
- Define the scope and requirements of the project.
- Design and develop the project using NLP techniques.
- Present your project in a professional manner.
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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