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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use regular expressions to do parameter validation (e.g., on a PNR Number) and reset parameters to null when the user starts a new flow of conversation.
Read more
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use regular expressions to do parameter validation (e.g., on a PNR Number) and reset parameters to null when the user starts a new flow of conversation.
Read more
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use regular expressions to do parameter validation (e.g., on a PNR Number) and reset parameters to null when the user starts a new flow of conversation.
As you start to give your virtual agent the ability to have more dynamic conversations, some of the more advanced features of Dialogflow CX can make your agent even more conversational. In this lab you'll learn how to use some advanced features of Dialogflow CX to enhance the conversational experience of your virtual agent. You'll learn how to add the ability for a user to check a flight's status through the virtual agent by providing a confirmation number and connect the 'Book a Flight' scenario into a new Anything else? page so that the agent is always ready to handle another request from the user.
Register for this course and see more details by visiting:
OpenCourser.com/course/74i2q2/dialogflow
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What's inside
Syllabus
Dialogflow CX: Parameter Manipulation
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces regex to data validation, strengthening fundamental skills
Provides hands-on labs for practical implementation and reinforcement of concepts
Focuses on enhancing conversational experiences, catering to a specific learner audience
Save this course
Save Dialogflow CX: Parameter Manipulation to your list so you can find it easily later:
Save
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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: Parameter Manipulation with these
activities:
Review NLP fundamentals
Show steps
Revise basic NLP concepts (e.g., tokenization, stemming) to solidify understanding and prepare for more advanced topics
Show steps
-
Read materials on NLP basics
Attend a Dialogflow CX community event
Show steps
Engage with a community of professionals and experts to exchange knowledge, ask questions, and stay abreast of the latest trends in Dialogflow CX
Show steps
-
Find and register for upcoming Dialogflow CX community events
-
Attend the event and actively participate in discussions and networking
Practice parameter validation using regular expressions
Show steps
Engage in targeted exercises to refine your skills in parameter validation and regular expressions, strengthening your grasp of these critical concepts
Show steps
-
Complete the lab exercises on parameter validation
-
Create and solve additional parameter validation challenges
Three other activities
Expand to see all activities and additional details
Show all six activities
Explore Dialogflow CX's advanced features
Show steps
Seek external resources and tutorials to deepen your understanding of Dialogflow CX's capabilities and enhance your virtual agent's conversational abilities
Browse courses on
Natural Language Processing
Show steps
-
Follow online tutorials on Dialogflow CX's flow builder and parameter handling
-
Explore case studies and best practices for conversational AI design
Design a virtual agent scenario
Show steps
Apply your knowledge by creating a comprehensive scenario for a virtual agent, showcasing your ability to design and implement conversational experiences
Browse courses on
Conversational Design
Show steps
-
Identify a specific use case and target audience for your virtual agent
-
Design a detailed flow diagram outlining the user's journey
-
Develop sample dialogues and responses for each step of the conversation
-
Implement the scenario in Dialogflow CX
-
Test and refine your scenario for optimal user experience
Build a Dialogflow CX chatbot for a specific domain
Show steps
Apply your learning by building a fully functional Dialogflow CX chatbot, demonstrating your proficiency in designing, developing, and deploying conversational AI solutions
Browse courses on
NLP Applications
Show steps
-
Choose a specific domain and identify the target audience for your chatbot
-
Design the chatbot's flow and functionality
-
Develop the chatbot using Dialogflow CX
-
Integrate the chatbot with external systems (optional)
-
Deploy and test the chatbot
Review NLP fundamentals
Show steps
Revise basic NLP concepts (e.g., tokenization, stemming) to solidify understanding and prepare for more advanced topics
Show steps
Show steps
Show steps
- Read materials on NLP basics
Attend a Dialogflow CX community event
Show steps
Engage with a community of professionals and experts to exchange knowledge, ask questions, and stay abreast of the latest trends in Dialogflow CX
Show steps
Show steps
Show steps
- Find and register for upcoming Dialogflow CX community events
- Attend the event and actively participate in discussions and networking
Practice parameter validation using regular expressions
Show steps
Engage in targeted exercises to refine your skills in parameter validation and regular expressions, strengthening your grasp of these critical concepts
Show steps
Show steps
Show steps
- Complete the lab exercises on parameter validation
- Create and solve additional parameter validation challenges
Three other activities
Expand to see all activities and additional details
Show all six activities
Explore Dialogflow CX's advanced features
Show steps
Seek external resources and tutorials to deepen your understanding of Dialogflow CX's capabilities and enhance your virtual agent's conversational abilities
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Follow online tutorials on Dialogflow CX's flow builder and parameter handling
- Explore case studies and best practices for conversational AI design
Design a virtual agent scenario
Show steps
Apply your knowledge by creating a comprehensive scenario for a virtual agent, showcasing your ability to design and implement conversational experiences
Browse courses on
Conversational Design
Show steps
Show steps
Show steps
- Identify a specific use case and target audience for your virtual agent
- Design a detailed flow diagram outlining the user's journey
- Develop sample dialogues and responses for each step of the conversation
- Implement the scenario in Dialogflow CX
- Test and refine your scenario for optimal user experience
Build a Dialogflow CX chatbot for a specific domain
Show steps
Apply your learning by building a fully functional Dialogflow CX chatbot, demonstrating your proficiency in designing, developing, and deploying conversational AI solutions
Browse courses on
NLP Applications
Show steps
Show steps
Show steps
- Choose a specific domain and identify the target audience for your chatbot
- Design the chatbot's flow and functionality
- Develop the chatbot using Dialogflow CX
- Integrate the chatbot with external systems (optional)
- Deploy and test the chatbot
Career center
Learners who complete Dialogflow CX: Parameter Manipulation will develop knowledge and skills
that may be useful to these careers:
Product Manager
Product Manager
As a Product Manager, you're responsible for the lifecycle of a product, from inception to launch and beyond. You work with engineers, designers, and marketers to bring your vision to life. This course on Dialogflow CX Parameter Manipulation may be useful as it can help you develop the skills to understand user needs and create products that meet those needs.
UX Designer
UX Designer
UX Designers are responsible for the user experience of a product. They work to make sure that products are easy to use and enjoyable to interact with. This course on Dialogflow CX Parameter Manipulation may be useful as it can help you develop the skills to understand user needs and create products that meet those needs.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create products that meet the needs of users. This course on Dialogflow CX Parameter Manipulation may be useful as it can help you develop the skills to understand user needs and create products that meet those needs.
Business Analyst
Business Analyst
Business Analysts work with businesses to identify and solve problems. They use a variety of tools and techniques to analyze data, identify inefficiencies, and develop solutions.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. They use a variety of tools and techniques to extract insights from data.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. They work with a variety of stakeholders to resolve issues and build relationships.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They work with a variety of teams to create and implement marketing strategies that reach target audiences.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. They work with a variety of stakeholders to develop and implement sales strategies.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing software and other products to ensure that they meet quality standards. They work with a variety of stakeholders to identify and resolve defects.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to scope.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and other products. They work with a variety of stakeholders to ensure that documentation is accurate and easy to understand.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information assets. They work with a variety of stakeholders to identify and mitigate security risks.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. They work with a variety of stakeholders to ensure that networks are reliable and secure.
IT Support Specialist
IT Support Specialist
IT Support Specialists provide technical support to users. They work with a variety of stakeholders to resolve technical issues and provide guidance.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with a variety of stakeholders to ensure that databases are reliable and secure.
For more career information including salaries, visit:
OpenCourser.com/course/74i2q2/dialogflow
Reading list
We've selected seven 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: Parameter Manipulation.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular Python library for natural language processing. It covers a wide range of topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
Save
Provides a comprehensive overview of natural language processing for the humanities. It covers a wide range of topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of machine learning for natural language processing. It covers a wide range of topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of natural language processing (NLP) and its applications. It covers a wide range of NLP topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
Save
Provides a comprehensive overview of natural language processing with transformers. It covers a wide range of topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of natural language processing for social media. It covers a wide range of topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of speech and language processing. It covers a wide range of topics, from basic to advanced, and it provides numerous examples and exercises to help readers learn the material.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/74i2q2/dialogflow
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Effort
1 hour 10 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Introduces regex to data validation, strengthening fundamental skills
Provides hands-on labs for practical implementation and reinforcement of concepts
Focuses on enhancing conversational experiences, catering to a specific learner audience
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