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Building Conversational Experiences with Dialogflow

Google Cloud Training
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Uses Google Cloud resources, such as Dialogflow and Cloud Natural Language API, which are widely used in the AI industry
Helps learners build chatbots, a valuable skill for customer service and support
Provides a hands-on approach with operationalizing chatbots using Google Cloud tools, giving learners practical experience
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing and AI
Focuses on conversational design and virtual agent building, which are in high demand in the tech industry
Course closure on January 22nd, 2021, may limit accessibility for new learners

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Reviews summary

Google cloud's dialogflow chatbot building course

This course thoroughly covers the basics of building chatbots with Dialogflow. Concepts such as intents, entities, contexts and fulfillment are explained along with practical exercises and hands-on labs, with a special focus on the integration between Dialogflow and other GCP services.
Extensive integration with other GCP services, providing a holistic approach to chatbot development.
"Very beautiful orientation of the lectures. Instructors were so good with their knowledge and also with their presentation."
"Excelente curso para aprender a utilizar la herramienta, salvo por un pequeño detalle que no te dicen al principio, de que deber tener conocimientos en python para algunos labs."
"It was a great course, I learnt how to make a full fledged chat bot using Dialogflow. And having being made chatbot on Amazon Lex I really think Google's Dialogflow chatbot platform is miles ahead."
Excellent hands-on labs that provide practical experience in building chatbots with Dialogflow.
"Thank you, its a great course as a begineer"
"A great course for someone who wants to know and learn about chatbots using dialogflow."
"Great course! Encouraged me to start working with NLP and some of the existing tools and APIs like Dialogflow."
Instructor's accent can be distracting for some learners.
"quite distracting and hard to follow due to instructor heavy brazilian/portugese accent for certain video segments"
Cloud Shell is hard to find, making it difficult to complete lab exercises.
"course is explained in detail, step by step instructions given for Lab exercises only cloud shell is hard to find"
Assumes some prior knowledge in NLP, web services, and GCP for a better understanding.
"It's a very good course but you must have a little bit knowledge of NLP, web services and GCP to learn it well."
"The course requires prerequisite knowledge about Google Cloud Platform services and the related API's to access them as well as experience in Node.js and Python."
Several errors in the Week 2 labs, making it difficult to complete them successfully.
"All the week 2 lab activity instructions are not done properly."
"The last two qwiklab can not be finished due to a change in how dialogflow manage access."
Some of the content, especially in the second week, is outdated and needs updating.
"It is not up to date for Dialogflow V2. Therefore, week 2 labs are a pain."
"Some parts of the course need updating, specially the ones regarding the second week, the webhooks and the APIs"
"The second week of the course has some problems in the versioning ( Pyhton configuration error that comes only to few users but not to other while importing HR dta into google cloud store etc ). This should be improved otherwise the subsequent exercises are just going to be useless for students."

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 Building Conversational Experiences with Dialogflow with these activities:
Volunteer at a Call Center
Volunteer at a call center to gain experience in handling customer inquiries and practicing your conversational skills.
Browse courses on Customer Service
Show steps
  • Contact a local call center and inquire about volunteer opportunities.
  • Complete any required training.
  • Attend scheduled shifts and assist customers with their inquiries.
Review Fundamentals of Natural Language Processing
Review the fundamentals of natural language processing to reinforce your understanding of the concepts covered in this course.
View Natural Language Processing with Python:... on Amazon
Show steps
  • Read Chapters 1-3 of the book.
  • Take notes on the key concepts and techniques.
  • Complete the exercises at the end of each chapter.
Gather Resources on Conversational AI
Gather and organize resources related to conversational AI to enhance your understanding and stay up-to-date on the latest developments.
Browse courses on Conversational AI
Show steps
  • Search for articles, whitepapers, and tutorials on conversational AI.
  • Bookmark or save relevant resources to a central location.
  • Create a summary or mind map of the key takeaways from your research.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Creating Intents and Entities
Practice creating intents and entities to improve your understanding of how Dialogflow understands and responds to user input.
Browse courses on Natural Language Understanding
Show steps
  • Follow the Dialogflow documentation on creating intents and entities.
  • Create a sample chatbot using Dialogflow.
  • Test your chatbot with different user inputs.
Join a Chatbot Development Study Group
Join a study group to collaborate with peers on chatbot development projects and share knowledge.
Browse courses on Chatbot Development
Show steps
  • Find a study group or create your own through online forums or social media.
  • Set regular meeting times and establish a communication channel.
  • Discuss chatbot development topics, share resources, and work on projects together.
Build a Virtual Agent with Dialogflow
Build a virtual agent using Dialogflow to gain hands-on experience in designing and implementing conversational interfaces.
Browse courses on Conversational AI
Show steps
  • Follow the Google Cloud documentation on building a virtual agent with Dialogflow.
  • Design the conversation flow for your virtual agent.
  • Configure intents, entities, and fulfillment for your virtual agent.
  • Test and deploy your virtual agent.
Develop a Conversational Design Document
Develop a conversational design document to define the user experience, conversation flow, and content strategy for your chatbot.
Browse courses on Conversational Design
Show steps
  • Define the target audience and use cases for your chatbot.
  • Create a user persona and empathy map.
  • Design the conversation flow and user interface.
  • Write the scripts and content for the chatbot.
  • Validate your design with user testing.
Mentor Junior Chatbot Developers
Mentor junior chatbot developers to share your knowledge and contribute to the growth of the chatbot development community.
Browse courses on Mentorship
Show steps
  • Reach out to junior chatbot developers through online forums or social media.
  • Offer to provide guidance and support on chatbot development projects.
  • Conduct regular meetings to discuss progress and provide feedback.
  • Share your own experiences and lessons learned.

Career center

Learners who complete Building Conversational Experiences with Dialogflow will develop knowledge and skills that may be useful to these careers:
Marketing Manager
This course can be beneficial for aspiring Marketing Managers, as it provides a foundational understanding of conversational design and natural language processing, which are becoming increasingly important for effective marketing campaigns. The course materials also include hands-on exercises, which allow learners to apply their knowledge to real-world scenarios.
See salaries and explore the career path for Marketing Manager
Data Scientist
This course can be a useful resource for individuals interested in data science. By enrolling in this course, individuals will gain experience in using Dialogflow to create conversational experiences, a skill that is increasingly valuable in the field of data science. Additionally, this course will provide learners with the opportunity to apply machine learning algorithms to real-world scenarios, which is a key skill for data scientists.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
This course may be of some use to those interested in pursuing a career in machine learning engineering. The syllabus covers topics such as natural language processing and machine learning, which are key components of a machine learning engineer's skillset. Additionally, this course provides opportunities to apply these concepts to practical use cases, which is a valuable experience for aspiring machine learning engineers.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
This course can be a useful resource for individuals interested in software engineering. It introduces learners to the fundamentals of conversational experience design, which is becoming increasingly relevant in the tech industry. Furthermore, the course also covers natural language processing, which is a key technology for building conversational AI systems.
See salaries and explore the career path for Software Engineer
Data Analyst
By enrolling in this course, data analysts can gain valuable knowledge about conversational design and natural language processing. These are becoming increasingly important for data analysts, as they are increasingly responsible for working with unstructured data such as text and speech.
See salaries and explore the career path for Data Analyst
Product Manager
This course can be useful for those aspiring to be Product Managers. The curriculum covers topics such as conversational design and natural language processing, which are becoming essential for developing user-centric products. Additionally, the course includes hands-on exercises that provide valuable experience in designing and building conversational experiences.
See salaries and explore the career path for Product Manager
Technical Writer
This course can be useful for aspiring Technical Writers, since it provides a comprehensive overview of natural language processing and conversational design, which are becoming increasingly important for effective technical documentation. The course materials also include hands-on exercises, which allow learners to apply their knowledge to real-world scenarios.
See salaries and explore the career path for Technical Writer
Customer Success Manager
This course can be useful for aspiring Customer Success Managers, as it provides a comprehensive overview of conversational design and natural language processing, which are becoming increasingly important for delivering exceptional customer experiences. Additionally, the course includes hands-on exercises that provide valuable experience in designing and building conversational experiences.
See salaries and explore the career path for Customer Success Manager
Interaction Designer
This course can be a helpful resource for aspiring interaction designers. It provides a foundation in conversational design, which is an essential skill for creating user-friendly and engaging conversational interfaces. Additionally, the course covers natural language processing, which is a key technology for understanding user intent and generating appropriate responses.
See salaries and explore the career path for Interaction Designer
Information Architect
This course can be helpful for aspiring Information Architects, as it provides a foundation in conversational design and natural language processing, which are becoming increasingly important for designing effective and user-friendly information architectures. Additionally, the course includes hands-on exercises that provide valuable experience in designing and building conversational experiences.
See salaries and explore the career path for Information Architect
Content Strategist
This course can be a helpful resource for those interested in becoming Content Strategists, as it covers topics such as conversational design and natural language processing, which are becoming essential for creating engaging and effective content. Additionally, the course includes hands-on exercises that provide valuable experience in designing and building conversational experiences.
See salaries and explore the career path for Content Strategist
Natural Language Processing Engineer
This course on Conversational Experiences with Dialogflow can be a helpful companion for a NLP Engineer, since they are concerned with the design and development of systems that enable computers to understand and generate human language. The course materials cover topics like natural language processing and machine learning, which are essential for success in this role. Additionally, the course includes hands-on exercises that allow you to apply your learning to real-world scenarios, which is invaluable experience for any NLP Engineer.
See salaries and explore the career path for Natural Language Processing Engineer
User Experience Researcher
This course can be a valuable resource for those seeking a career in user experience research. The course focuses on designing and building conversational experiences, which are becoming increasingly important in today's user-centric design landscape. Furthermore, the course also covers natural language processing, which is a key technology for understanding user needs and preferences.
See salaries and explore the career path for User Experience Researcher
AI Engineer
This course may be of some use to aspiring AI Engineers, since it provides a foundational understanding of natural language processing and machine learning, which are key technologies for developing AI systems. While the course does not specifically focus on AI engineering, the skills and knowledge gained can be applied to this field.
See salaries and explore the career path for AI Engineer
Conversational AI Developer
This course can be useful for individuals interested in becoming Conversational AI Developers, since it provides a comprehensive overview of the field. The curriculum covers topics such as natural language processing and machine learning, which are key components of conversational AI systems. Additionally, the course includes opportunities to apply these concepts to practical use cases, which is valuable experience for aspiring Conversational AI Developers.
See salaries and explore the career path for Conversational AI Developer

Reading list

We've selected six 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 Building Conversational Experiences with Dialogflow.
Cover image
Designing Bots
Save
Provides a comprehensive overview of chatbot design, including best practices for creating natural and engaging conversations. It covers topics such as user research, conversation flow design, and natural language processing.
Designing Bots: Creating Conversational Experiences
Paperback
$$
Designing Bots: Creating Conversational Experiences
Kindle Edition
$$
Cover image
Cross-Lingual Word Embeddings
Save
Provides a comprehensive overview of deep learning for natural language processing, including topics such as word embeddings, recurrent neural networks, and attention mechanisms.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular Python library for natural language processing.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
(中文) Python Natural Language Processing(Chinese Edition)
Paperback
$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Natural Language Processing in Action, Second...
Save
Provides a practical guide to using natural language processing for a variety of tasks, such as text classification, named entity recognition, and question answering.
Natural Language Processing in Action, Second...
Paperback
$$$
Cover image
Speech and Language Processing. An Introduction to...
Save
This classic textbook provides a comprehensive overview of speech and language processing, including topics such as speech recognition, natural language understanding, and machine translation.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
As We Think, So We Are
Save
Provides a comprehensive overview of natural language understanding, including topics such as syntax, semantics, and pragmatics.
As We Think, So We Are
Paperback
Check
As We Think, So We Are
Kindle Edition
Check

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Time
16 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Uses Google Cloud resources, such as Dialogflow and Cloud Natural Language API, which are widely used in the AI industry
Helps learners build chatbots, a valuable skill for customer service and support
Provides a hands-on approach with operationalizing chatbots using Google Cloud tools, giving learners practical experience
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing and AI
Focuses on conversational design and virtual agent building, which are in high demand in the tech industry
Course closure on January 22nd, 2021, may limit accessibility for new learners
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