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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 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.
Register for this course and see more details by visiting:
OpenCourser.com/course/0maugy/dialogflow
Good to know
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
Save this course
Save Dialogflow CX: Contextual Intents to your list so you can find it easily later:
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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: Contextual Intents with these
activities:
Complete Dialogflow Fundamentals Course
Show steps
Learn the fundamentals of Dialogflow, including the user interface, concepts, and basic components.
Browse courses on
Natural Language Processing
Show steps
-
Enroll in the Dialogflow Fundamentals course on Coursera
-
Complete the course modules
-
Complete the course quiz
Create a Dialogflow agent from scratch
Show steps
Gain hands-on experience by creating and configuring a Dialogflow agent, including intents, entities, and fulfillment.
Show steps
-
Create a new Dialogflow agent
-
Create intents to handle user queries
-
Define entities to extract specific data from user input
-
Configure fulfillment to respond to user queries
-
Test the agent using the Dialogflow simulator
Follow the Dialogflow Advanced Concepts tutorial
Show steps
Explore advanced Dialogflow concepts such as context-aware responses, knowledge bases, and webhooks.
Show steps
-
Access the Dialogflow Advanced Concepts tutorial
-
Follow the tutorial steps
-
Implement the concepts in your own Dialogflow agent
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post on a Dialogflow topic
Show steps
Share your knowledge and understanding of Dialogflow by writing a blog post on a specific topic, such as best practices, use cases, or integrations.
Show steps
-
Choose a Dialogflow topic
-
Research the topic
-
Write the blog post
-
Publish the blog post
Join a Dialogflow community or forum
Show steps
Connect with other Dialogflow users to discuss best practices, troubleshoot issues, and share ideas.
Show steps
-
Join a Dialogflow community or forum
-
Participate in discussions
-
Ask questions and share your experiences
Participate in a Dialogflow hackathon
Show steps
Challenge yourself and showcase your Dialogflow skills by participating in a hackathon focused on building innovative conversational agents.
Show steps
-
Find a Dialogflow hackathon
-
Form a team or work individually
-
Develop a Dialogflow-based solution
-
Submit your solution
Develop a Dialogflow-based solution for a real-world problem
Show steps
Apply your Dialogflow skills to solve a specific problem and demonstrate the practical applications of conversational AI.
Show steps
-
Identify a real-world problem
-
Design a Dialogflow-based solution
-
Develop and implement the solution
-
Test and evaluate the solution
-
Document the solution
Complete Dialogflow Fundamentals Course
Show steps
Learn the fundamentals of Dialogflow, including the user interface, concepts, and basic components.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Enroll in the Dialogflow Fundamentals course on Coursera
- Complete the course modules
- Complete the course quiz
Create a Dialogflow agent from scratch
Show steps
Gain hands-on experience by creating and configuring a Dialogflow agent, including intents, entities, and fulfillment.
Show steps
Show steps
Show steps
- Create a new Dialogflow agent
- Create intents to handle user queries
- Define entities to extract specific data from user input
- Configure fulfillment to respond to user queries
- Test the agent using the Dialogflow simulator
Follow the Dialogflow Advanced Concepts tutorial
Show steps
Explore advanced Dialogflow concepts such as context-aware responses, knowledge bases, and webhooks.
Show steps
Show steps
Show steps
- Access the Dialogflow Advanced Concepts tutorial
- Follow the tutorial steps
- Implement the concepts in your own Dialogflow agent
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post on a Dialogflow topic
Show steps
Share your knowledge and understanding of Dialogflow by writing a blog post on a specific topic, such as best practices, use cases, or integrations.
Show steps
Show steps
Show steps
- Choose a Dialogflow topic
- Research the topic
- Write the blog post
- Publish the blog post
Join a Dialogflow community or forum
Show steps
Connect with other Dialogflow users to discuss best practices, troubleshoot issues, and share ideas.
Show steps
Show steps
Show steps
- Join a Dialogflow community or forum
- Participate in discussions
- Ask questions and share your experiences
Participate in a Dialogflow hackathon
Show steps
Challenge yourself and showcase your Dialogflow skills by participating in a hackathon focused on building innovative conversational agents.
Show steps
Show steps
Show steps
- Find a Dialogflow hackathon
- Form a team or work individually
- Develop a Dialogflow-based solution
- Submit your solution
Develop a Dialogflow-based solution for a real-world problem
Show steps
Apply your Dialogflow skills to solve a specific problem and demonstrate the practical applications of conversational AI.
Show steps
Show steps
Show steps
- Identify a real-world problem
- Design a Dialogflow-based solution
- Develop and implement the solution
- Test and evaluate the solution
- Document the solution
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.
For more career information including salaries, visit:
OpenCourser.com/course/0maugy/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 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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0maugy/dialogflow
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
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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