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Dialogflow CX

Contextual Intents

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 some advanced Dialogflow CX features, like how to let a user ask your virtual agent to repeat what it said; let the user ask common questions from...
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to use some advanced Dialogflow CX features, like how to let a user ask your virtual agent to repeat what it said; let the user ask common questions from your FAQ in the middle of another conversation; ask context-sensitive questions, and add conversational branching and looping based on current values in the session parameters.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills in building interactive and natural-feeling conversations between humans and machines
Provides a hands-on lab experience in the Google Cloud console
Taught by Google Cloud Training, a reputable provider in cloud computing
Covers advanced Dialogflow CX features relevant to real-world conversation design
Suitable for learners with prior experience in Dialogflow or conversational AI
Requires access to a Google Cloud account, which may incur costs

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Activities

Coming soon We're preparing activities for Dialogflow CX: Contextual Intents. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Dialogflow CX: Contextual Intents will develop knowledge and skills that may be useful to these careers:
Conversational AI Developer
Conversational AI Developers are responsible for designing, developing, and deploying conversational AI systems. Dialogflow CX: Contextual Intents can help prepare you for this role because it provides hands-on experience with building and deploying conversational AI systems. This course can help you develop the skills needed to design and build conversational AI systems that can engage users in natural and human-like conversations.
AI Engineer
AI Engineers are responsible for designing, developing, and deploying AI systems. Dialogflow CX: Contextual Intents can help you prepare for this role because it provides hands-on experience with building and deploying AI systems. This course will help you develop the skills needed to design and build AI systems that can solve complex problems and make intelligent decisions.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning systems. Dialogflow CX: Contextual Intents can help prepare you for this role because it provides hands-on experience with building and deploying machine learning systems. This course will help you develop the skills needed to design and build machine learning systems that can learn from data and make predictions.
NLP Engineer
NLP Engineers are responsible for designing and building natural language processing (NLP) systems. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with building and deploying NLP systems. This course could help you develop the skills needed to design and build NLP systems that can understand and respond to user input in a natural and human-like way.
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with data. This course could help you develop the skills needed to collect, analyze, and interpret data to make informed decisions.
Software Engineer
Software Engineers are responsible for designing, developing, and testing software systems. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with building and deploying software systems. This course could help you develop the skills needed to design, develop, and test software systems that meet the needs of users.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are successful with a product or service. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with customers. This course could help you develop the skills needed to ensure that customers are successful with a product or service.
Business Analyst
Business Analysts are responsible for identifying and analyzing business requirements. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with business requirements. This course could help you develop the skills needed to identify and analyze business requirements to improve business processes.
Product Manager
Product Managers are responsible for defining, planning, and delivering products. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with products. This course could help you develop the skills needed to define, plan, and deliver products that meet the needs of users.
Project Manager
Project Managers are responsible for planning, executing, and delivering projects. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working on projects. This course could help you develop the skills needed to plan, execute, and deliver projects successfully.
Sales Engineer
Sales Engineers are responsible for helping customers to understand and purchase products or services. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with customers. This course could help you develop the skills needed to help customers to understand and purchase products or services.
Content Strategist
Content Strategists are responsible for planning, creating, and managing content. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with content. This course could help you develop the skills needed to plan, create, and manage content that is effective and engaging.
Interaction Designer
Interaction Designers are responsible for designing the interactions between users and products. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with user interfaces. This course could help you develop the skills needed to design interactions between users and products that are natural and intuitive.
User Experience Designer
User Experience Designers are responsible for designing and evaluating user interfaces. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with user interfaces. This course could help you develop the skills needed to design and evaluate user interfaces that are easy to use and enjoyable.
Technical Writer
Technical Writers are responsible for creating documentation for software and other technical products. Dialogflow CX: Contextual Intents may be useful for this role because it provides hands-on experience with working with documentation. This course could help you develop the skills needed to create documentation for software and other technical products.

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 CX: Contextual Intents.
Provides a comprehensive overview of reinforcement learning algorithms. It covers topics such as Markov decision processes, value functions, and policy iteration methods.
Provides a comprehensive overview of neural network methods for natural language processing. It covers topics such as word embeddings, sequence models, and attention mechanisms.
Provides a comprehensive overview of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of conversational interfaces and their applications. It valuable resource for those who want to learn more about the technology and how to use it to build conversational agents.
Provides a comprehensive overview of artificial intelligence (AI) and how it can be used to improve customer service. It covers topics such as natural language processing, machine learning, and conversational AI.
A practical guide to natural language processing using the Python programming language. Covers core concepts such as tokenization, stemming, parsing, and machine learning algorithms. Provides a solid foundation for developers wanting to build NLP-based applications, including conversational agents.
A foundational text in the field of natural language processing, covering topics such as speech recognition, language modeling, and machine translation. Provides a solid understanding of the underlying concepts and algorithms used in Dialogflow CX.
A comprehensive overview of speech and language processing techniques used in natural language understanding. Covers topics such as acoustic modeling, language modeling, and machine translation. Provides a solid foundation for understanding the underlying algorithms and models used in Dialogflow CX.
A comprehensive guide to deep learning techniques used in natural language processing. Covers topics such as recurrent neural networks, Transformers, and language generation. Provides insights into the latest advancements in NLP and can help you build more sophisticated conversational agents.

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