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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

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This is a self-paced lab that takes place in the Google Cloud console.

Build a conversational agent using Dialogflow CX. Dialogflow CX provides a simple, visual bot building approach to virtual agent design. Bot designers now have a much clearer picture of the overall bot building process and multiple designers are able to easily collaborate on the same agent build. Dialogflow CX supports many languages for your agent to use and understand, but this lab will be using only English.

In this lab you will build a conversational agent using Dialogflow CX.

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What's inside

Syllabus

Dialogflow CX: Bot Building Basics

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops practical bot building skills for virtual agent design using Google's Dialogflow CX
Taught by Google Cloud Training, a recognized leader in the field of cloud computing
Designed for beginners, providing a clear understanding of bot building using Dialogflow CX
Utilizes hands-on labs in the Google Cloud console, offering practical experience
Assumes basic knowledge of conversational AI and bot building concepts
Emphasizes English language proficiency, limiting its accessibility for non-native speakers

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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 Dialogflow CX: Bot Building Basics with these activities:
Review Natural Language Processing Concepts
Review natural language processing concepts to strengthen your foundation for building conversational agents with Dialogflow CX.
Show steps
  • Review core NLP concepts
  • Explore NLP techniques
  • Apply NLP to chatbot development
Practice Writing Effective Dialogflow CX Intents
Practice writing effective Dialogflow CX intents to improve the accuracy and efficiency of your conversational agents.
Browse courses on Dialogflow CX
Show steps
  • Review best practices for writing intents
  • Write intents for a specific use case
  • Test and refine your intents
Getting Started with Dialogflow CX
Follow a tutorial that provides a hands-on introduction to building conversational agents using Dialogflow CX.
Browse courses on Dialogflow CX
Show steps
  • Review the Dialogflow CX documentation
  • Create a Dialogflow CX agent
  • Build a simple chatbot using Dialogflow CX
Six other activities
Expand to see all activities and additional details
Show all nine activities
Join a Dialogflow CX Study Group
Join a Dialogflow CX study group to connect with other learners, share knowledge, and reinforce your understanding.
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Show steps
  • Find a study group
  • Participate in discussions
  • Collaborate on projects
Build a Chatbot Using Google Cloud Dialogflow CX
Develop your understanding of conversational agent design and Dialogflow CX by building your own chatbot.
Browse courses on Dialogflow CX
Show steps
  • Train your chatbot.
  • Create a Google Cloud account and set up a Dialogflow CX project.
  • Create an intent for your chatbot.
  • Add training phrases and responses to your intent.
  • Test your chatbot and make any necessary adjustments.
Build a Dialogflow CX Bot from Scratch
Practice building a Dialogflow CX bot from scratch to reinforce your understanding of the platform's capabilities.
Browse courses on Dialogflow CX
Show steps
  • Define the intents and entities for your bot
  • Create a Dialogflow CX flow
  • Test and deploy your bot
Integrate Dialogflow CX with Your Application
Practice integrating Dialogflow CX with your application to enhance its conversational capabilities.
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Show steps
  • Choose an integration method
  • Implement the integration
  • Test the integration
Troubleshoot Common Dialogflow CX Issues
Practice troubleshooting common Dialogflow CX issues to ensure your bot operates smoothly.
Browse courses on Dialogflow CX
Show steps
  • Identify the issue
  • Research potential solutions
  • Implement the solution
Contribute to the Dialogflow CX Open Source Community
Contribute to the Dialogflow CX open source community to enhance your understanding of the platform and support its growth.
Browse courses on Dialogflow CX
Show steps
  • Identify an area to contribute
  • Make a code contribution
  • Participate in community discussions

Career center

Learners who complete Dialogflow CX: Bot Building Basics will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
A Natural Language Processing Engineer is responsible for developing and maintaining natural language processing systems. This course can help you build a foundation in natural language processing and machine learning, which are essential skills for a Natural Language Processing Engineer.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course can help you build a foundation in software engineering and natural language processing, which are essential skills for a Software Engineer. You will learn how to design and build conversational interfaces that are both efficient and reliable.
UX Designer
A UX Designer is responsible for designing the user experience of a website or application. This course can help you build a foundation in human-computer interaction and user experience design, which are essential skills for a UX Designer. You will learn how to design conversational interfaces that are both user-friendly and effective.
Interaction Designer
An Interaction Designer is responsible for designing the user experience of a website or application. This course can help you build a foundation in human-computer interaction and user experience design, which are essential skills for an Interaction Designer. You will learn how to design conversational interfaces that are both user-friendly and effective.
Front-End Developer
A Front-End Developer is responsible for designing and developing the user interface of a website or application. This course can help you build a foundation in HTML, CSS, and JavaScript, which are essential skills for a Front-End Developer. You will learn how to use these technologies to build conversational interfaces that are both visually appealing and functional.
Web Developer
A Web Developer is responsible for designing and developing websites. This course can help you build a foundation in HTML, CSS, and JavaScript, which are essential skills for a Web Developer. You will learn how to use these technologies to build conversational interfaces that are both visually appealing and functional.
Product Manager
A Product Manager is responsible for managing the development and launch of a product. This course can help you build a foundation in product management and human-computer interaction, which are essential skills for a Product Manager. You will learn how to design and build conversational interfaces that meet the needs of users.
Business Analyst
A Business Analyst is responsible for understanding the business needs of an organization and translating those needs into technical requirements. This course can help you build a foundation in human-computer interaction and natural language processing, which are essential skills for a Business Analyst. You will learn how to design and build conversational interfaces that are both user-friendly and effective.
Technical Writer
A Technical Writer is responsible for writing and maintaining technical documentation. This course can help you build a foundation in technical writing and human-computer interaction, which are essential skills for a Technical Writer. You will learn how to write documentation that is both clear and concise.
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course can help you build a foundation in machine learning and artificial intelligence, which are essential skills for a Data Scientist. You will learn how to use these technologies to build conversational interfaces that are both personalized and informative.

Reading list

We've selected eight 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 CX: Bot Building Basics.
Provides a comprehensive overview of conversational AI, covering the key concepts, technologies, and best practices involved in building and deploying conversational AI systems. It valuable resource for anyone looking to gain a deeper understanding of the field.
Provides a comprehensive overview of deep learning for natural language processing. It covers the key concepts, techniques, and applications of the field.
Provides a comprehensive overview of conversational interfaces, covering the key concepts, technologies, and best practices involved in designing, building, and deploying conversational applications. It valuable resource for anyone looking to gain a deeper understanding of the field.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular open-source NLP library for Python. It covers the key concepts and techniques of NLP and provides practical guidance on how to use the NLTK to build NLP systems.
Provides a comprehensive overview of machine learning, with a focus on how it can be used to build conversational interfaces. It covers a wide range of topics, including machine learning fundamentals, supervised and unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of conversational interfaces and how to design and build chatbots and conversational agents.
Provides a comprehensive overview of conversational AI, covering everything from the basics of natural language processing to advanced concepts like reinforcement learning. It's a great resource for anyone who wants to learn more about conversational AI and how to use it to build powerful and engaging conversational interfaces.
Provides a comprehensive overview of natural language processing, with a focus on how it can be used to build conversational AI applications. It covers a wide range of topics, including NLP fundamentals, machine learning techniques, and best practices for building NLP-powered applications.

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