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Building Conversational Experiences with Dialogflow

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 <<<

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Rating 4.5 based on 19 ratings
Length 3 weeks
Effort 2 weeks of study, 6-8 hours/week
Starts Oct 31 (6 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Software Development Machine Learning

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What people are saying

gcp changed its

Another thing is that it seems like the GCP changed its interface a little bit since the course was created and they did not update the instructions accordingly.

any technical problems

I liked the first week a lot better than the second, because I did not experience any technical problems with it and I felt like I could have really gotten a hands-on experience with Dialogflow.

build conversational experiences

Helped me a great deal to understand how to build conversational experiences across a range of devices using Dialogflow!

development should take

I highly recommend people who are working on bot-development and virtual agent development should take this course!

every lab requires

However, the most annoying part is that every lab requires you to configure everything anew, and especially with labs 4 and 5 I did not really see the need to break them into separate parts, since there was little to do in either of them.

future more regarding

I'd like to see in the future more regarding how to implement advanced slot filling features, how to deal with variations/possible permutations in order of parameters, and how to integrate with external api's Good introduction.

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Rating 4.5 based on 19 ratings
Length 3 weeks
Effort 2 weeks of study, 6-8 hours/week
Starts Oct 31 (6 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Software Development Machine Learning

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