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Dialogflow Logging and Monitoring in Operations Suite
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to use Dialogflow tools to troubleshoot your Virtual Agent.
Register for this course and see more details by visiting:
OpenCourser.com/course/kdphq6/dialogflow
What's inside
Syllabus
Dialogflow Logging and Monitoring in Operations Suite
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Google Cloud Training who have substantial experience in their field
Provides a self-paced hands-on lab to build tangible skills
Focuses on tools that are relevant to industry and practice
May require learners to come in with some existing tools and knowledge
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Save Dialogflow Logging and Monitoring in Operations Suite to your list so you can find it easily later:
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Activities
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We're preparing activities for
Dialogflow Logging and Monitoring in Operations Suite.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Dialogflow Logging and Monitoring in Operations Suite will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course may be useful in teaching Data Scientists how to use Dialogflow tools to analyze data and identify trends.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models. This course may be useful in teaching Machine Learning Engineers how to use Dialogflow tools to improve the performance of their models.
Business Analyst
Business Analyst
Business Analysts help businesses improve their operations. This course may be useful in teaching Business Analysts how to use Dialogflow tools to gather feedback from customers and improve business processes.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful in teaching Software Engineers how to use Dialogflow tools to debug their code and improve performance.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course may be useful in teaching Data Analysts how to use Dialogflow tools to troubleshoot their systems and improve performance.
Product Manager
Product Manager
Product Managers develop and manage products. This course may be useful in teaching Product Managers how to use Dialogflow tools to gather feedback from customers and improve their products.
Technical Support Engineer
Technical Support Engineer
Technical Support Engineers help customers troubleshoot and resolve technical issues. This course may be useful in teaching Technical Support Engineers how to use Dialogflow tools to diagnose and resolve customer issues.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. This course may be useful in teaching Data Engineers how to use Dialogflow tools to monitor data pipelines and identify issues.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to improve the collaboration between development and operations teams. This course may be useful in teaching DevOps Engineers how to use Dialogflow tools to automate tasks and improve communication between teams.
Cloud Engineer
Cloud Engineer
Cloud Engineers design and manage cloud computing systems. This course may be useful in teaching Cloud Engineers how to use Dialogflow tools to troubleshoot cloud systems and improve performance.
IT Manager
IT Manager
IT Managers oversee the information technology systems of an organization. This course may be useful in teaching IT Managers how to use Dialogflow tools to troubleshoot system issues and improve performance.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers get the most value from their products. This course may be useful in teaching Customer Success Managers how to use Dialogflow tools to troubleshoot customer issues and improve customer satisfaction.
UX Designer
UX Designer
UX Designers design the user experience of products. This course may be useful in teaching UX Designers how to use Dialogflow tools to gather feedback from users and improve the user experience.
Systems Administrator
Systems Administrator
Systems Administrators manage and maintain computer systems. This course may be useful in teaching Systems Administrators how to use Dialogflow tools to troubleshoot their systems and improve performance.
Sales Engineer
Sales Engineer
Sales Engineers help customers understand and purchase products. This course may be useful in teaching Sales Engineers how to use Dialogflow tools to demonstrate the value of their products and close deals.
For more career information including salaries, visit:
OpenCourser.com/course/kdphq6/dialogflow
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
Dialogflow Logging and Monitoring in Operations Suite.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, including linear regression, logistic regression, and decision trees. It valuable resource for both beginners and experienced machine learning practitioners.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for both beginners and experienced deep learning practitioners.
Provides a comprehensive overview of deep learning for natural language processing. It covers a wide range of topics, including neural networks, attention mechanisms, and transformer models. It valuable resource for researchers and developers looking to stay up-to-date on the latest advances in NLP.
Provides a comprehensive overview of speech and language processing. It covers a wide range of topics, including speech recognition, natural language understanding, and machine translation. It valuable resource for both beginners and experienced researchers in the field.
Save
Provides a hands-on introduction to natural language processing using TensorFlow. It covers a wide range of topics, including text preprocessing, feature engineering, and model training. It valuable resource for developers looking to build natural language processing applications.
Provides a comprehensive overview of natural language processing. It covers a wide range of topics, including text preprocessing, feature engineering, and machine learning models. It valuable resource for both beginners and experienced NLP practitioners.
Provides a comprehensive overview of natural language processing with Python. It covers a wide range of topics, including text preprocessing, feature engineering, and machine learning models. It valuable resource for both beginners and experienced NLP practitioners.
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning. It valuable resource for both beginners and experienced machine learning practitioners.
Provides a comprehensive overview of machine learning with R. It covers a wide range of topics, including data preparation, feature engineering, and model evaluation. It valuable resource for developers looking to use R for machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kdphq6/dialogflow
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Effort
1 hour 30 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Taught by Google Cloud Training who have substantial experience in their field
Provides a self-paced hands-on lab to build tangible skills
Focuses on tools that are relevant to industry and practice
May require learners to come in with some existing tools and knowledge
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