PLEASE NOTE: This course will close for new learner enrollment on January 22nd, 2021.
If you would prefer to engage with our latest courses related to this material, please see the following courses:
Contact Center AI: Conversational Design Fundamentals: https://www.coursera.org/learn/contact-center-ai-conversational-design-fundamentals/home/welcome.
Contact Center AI: Building a Dynamic Virtual Agent: https://www.coursera.org/learn/contact-center-ai-building-a-dynamic-virtual-agent/home/welcome
The Contact Center AI: Conversational Design Fundamentals and Contact Center AI: Building a Dynamic Virtual Agent courses have similar learning objectives to the ones in the course being deprecated in this notice. They walk learners through the process of identifying a use case, creating intents and entities for conversational agents, and using context and fulfillment for conversation awareness and third party system integrations. Since many use cases for virtual agents happen in the context of contact centers, we invite you to extend your expertise by taking additional courses in the Contact Center AI Specialization, although this is not required if your interest is solely on building automated conversational agents.
Thanks, and happy learning,
The Google Cloud Learning Services team
Course Description:
This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service
If you would prefer to engage with our latest courses related to this material, please see the following courses:
Contact Center AI: Conversational Design Fundamentals: https://www.coursera.org/learn/contact-center-ai-conversational-design-fundamentals/home/welcome.
Contact Center AI: Building a Dynamic Virtual Agent: https://www.coursera.org/learn/contact-center-ai-building-a-dynamic-virtual-agent/home/welcome
The Contact Center AI: Conversational Design Fundamentals and Contact Center AI: Building a Dynamic Virtual Agent courses have similar learning objectives to the ones in the course being deprecated in this notice. They walk learners through the process of identifying a use case, creating intents and entities for conversational agents, and using context and fulfillment for conversation awareness and third party system integrations. Since many use cases for virtual agents happen in the context of contact centers, we invite you to extend your expertise by taking additional courses in the Contact Center AI Specialization, although this is not required if your interest is solely on building automated conversational agents.
Thanks, and happy learning,
The Google Cloud Learning Services team
Course Description:
This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service
