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Mohammed Murtuza Qureshi
In this 1-hour long project-based course, you will learn how to add advanced features to your Rasa Chatbot. We will look at what's Rasa X, a tool for developing your chatbot. We will look at how we can use Rasa X to interactively train your chatbot and share...
Read more
In this 1-hour long project-based course, you will learn how to add advanced features to your Rasa Chatbot. We will look at what's Rasa X, a tool for developing your chatbot. We will look at how we can use Rasa X to interactively train your chatbot and share...
Read more
In this 1-hour long project-based course, you will learn how to add advanced features to your Rasa Chatbot. We will look at what's Rasa X, a tool for developing your chatbot. We will look at how we can use Rasa X to interactively train your chatbot and share it with others. We will then look at how to create Forms to collect information for a certain task from the users.
We will look at how to validate inputs received by the Form and look at dynamic and conditional slot mapping. We will then move on to look at what are retrieval intents and how they can be used to handle small talk. Finally we will cover how to add Fallback Actions to handle failures in case the is not confident about the users message.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/sgycc8/introduction
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Suitable for Chatbot developers seeking to enhance their Rasa Chatbot's capabilities
Introduces Rasa X, a valuable tool for developing and sharing chatbots
Covers advanced features such as Forms, dynamic slot mapping, and retrieval intents
Suitable for learners familiar with basic Rasa concepts
Note that access to Rasa X is required for the course
Assumes a working knowledge of Python programming
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Save Introduction to Advance Features in Rasa Chatbot Framework 2 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 Introduction to Advance Features in Rasa Chatbot Framework 2 with these
activities:
Review NLU principles
Show steps
Refreshes NLU principles to prepare for advanced Rasa features.
Show steps
-
Review online documentation on NLU
-
Complete interactive NLU tutorials
-
Experiment with NLU code snippets
Practice Rasa X training
Show steps
Reinforces Rasa X training through guided exercises.
Show steps
-
Follow Rasa X training guide
-
Practice interactive training scenarios
-
Experiment with different training parameters
Develop a custom Rasa chatbot
Show steps
Provides practical experience in building and customizing Rasa chatbots.
Browse courses on
Chatbot Development
Show steps
-
Define chatbot requirements and use cases
-
Design chatbot architecture
-
Implement chatbot logic and NLU
-
Integrate chatbot with external systems
-
Test and iterate on chatbot
Show all three activities
Review NLU principles
Show steps
Refreshes NLU principles to prepare for advanced Rasa features.
Show steps
Show steps
Show steps
- Review online documentation on NLU
- Complete interactive NLU tutorials
- Experiment with NLU code snippets
Practice Rasa X training
Show steps
Reinforces Rasa X training through guided exercises.
Show steps
Show steps
Show steps
- Follow Rasa X training guide
- Practice interactive training scenarios
- Experiment with different training parameters
Develop a custom Rasa chatbot
Show steps
Provides practical experience in building and customizing Rasa chatbots.
Browse courses on
Chatbot Development
Show steps
Show steps
Show steps
- Define chatbot requirements and use cases
- Design chatbot architecture
- Implement chatbot logic and NLU
- Integrate chatbot with external systems
- Test and iterate on chatbot
Show all three activities
Career center
Learners who complete Introduction to Advance Features in Rasa Chatbot Framework 2 will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning solutions to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to gather requirements, clean and prepare data, train and evaluate models, and deploy solutions. This course may be useful for Machine Learning Engineers who want to learn how to add advanced features to their Rasa Chatbot framework, such as forms, validation, and retrieval intents.
Data Scientist
Data Scientist
A Data Scientist uses mathematical and statistical methods to extract knowledge from data. They work closely with business stakeholders to understand their needs, collect and clean data, build and train models, and interpret results. This course may be useful for Data Scientists who want to learn how to use Rasa X to interactively train their chatbots and share them with others.
Software Developer
Software Developer
A Software Developer designs, develops, and maintains software applications. They work closely with business stakeholders, product managers, and other developers to gather requirements, design and implement solutions, and test and deploy applications. This course may be useful for Software Developers who want to learn how to use Rasa to create chatbots for their applications.
Product Manager
Product Manager
A Product Manager is responsible for the planning, development, and launch of new products or features. They work closely with business stakeholders, engineers, and designers to gather requirements, define the product vision, and track progress. This course may be useful for Product Managers who want to learn how to use Rasa to create chatbots for their products.
UX Designer
UX Designer
A UX Designer designs the user experience for websites, apps, and other digital products. They work closely with engineers, product managers, and business stakeholders to create user-friendly and engaging experiences. This course may be useful for UX Designers who want to learn how to use Rasa to create chatbots for their products.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and identifies opportunities for improvement. They work closely with business stakeholders, engineers, and other analysts to gather requirements, define solutions, and track progress. This course may be useful for Business Analysts who want to learn how to use Rasa to create chatbots for their businesses.
Technical Writer
Technical Writer
A Technical Writer creates documentation for software, hardware, and other technical products. They work closely with engineers, product managers, and other writers to gather requirements, design and write documentation, and test and publish it. This course may be useful for Technical Writers who want to learn how to use Rasa to create chatbots for their documentation.
Customer Success Manager
Customer Success Manager
A Customer Success Manager helps customers get the most value from their products or services. They work closely with customers, engineers, and other stakeholders to identify needs, resolve issues, and track progress. This course may be useful for Customer Success Managers who want to learn how to use Rasa to create chatbots for their customers.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for planning and executing marketing campaigns to promote products or services. They work closely with business stakeholders, product managers, and other marketers to develop and implement strategies, track results, and make adjustments as needed. This course may be useful for Marketing Managers who want to learn how to use Rasa to create chatbots for their marketing campaigns.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team to achieve sales targets. They work closely with business stakeholders, product managers, and other sales professionals to develop and implement sales strategies, track progress, and make adjustments as needed. This course may be useful for Sales Managers who want to learn how to use Rasa to create chatbots for their sales teams.
For more career information including salaries, visit:
OpenCourser.com/course/sgycc8/introduction
Reading list
We've selected 13 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
Introduction to Advance Features in Rasa Chatbot Framework 2.
Provides a comprehensive overview of deep learning for natural language processing (NLP). It covers the core concepts and techniques of deep learning, as well as their application to NLP tasks such as text classification, machine translation, and question answering.
Save
Provides a comprehensive overview of natural language processing (NLP) with TensorFlow, covering the core concepts and techniques of NLP, as well as their application to a wide range of problems.
Provides a comprehensive overview of natural language processing with Python. While not directly about Rasa, it provides good background knowledge for someone who wants to understand the latest advances in the field.
Provides a comprehensive overview of Python for data analysis, covering the core concepts and techniques of data analysis, as well as their application to a wide range of problems.
Classic textbook on speech and language processing. While not directly about Rasa, it provides good background knowledge for someone who wants to understand the latest advances in the field.
Save
Classic textbook on deep learning. While not directly about Rasa, it provides good background knowledge for someone who wants to understand the latest advances in the field.
Provides a comprehensive overview of statistical natural language processing, covering the core concepts and techniques of statistical natural language processing, as well as their application to a wide range of problems.
Provides a comprehensive overview of computational linguistics, covering the core concepts and techniques of computational linguistics, as well as their application to a wide range of problems.
Provides a comprehensive overview of natural language processing with Java, covering the core concepts and techniques of natural language processing, as well as their application to a wide range of problems.
Provides a comprehensive overview of information retrieval, covering the core concepts and techniques of information retrieval, as well as their application to a wide range of problems.
Provides a comprehensive overview of machine learning for beginners, covering the core concepts and techniques of machine learning, as well as their application to a wide range of problems.
Provides a comprehensive tutorial on how to build chatbots using the Rasa framework. It covers all the essential concepts, from designing and training your chatbot to deploying it in production. It's a great resource for anyone who wants to learn more about Rasa and how to use it to build their own chatbots.
Save
This blog provides a wealth of information on all things Rasa. It covers everything from the latest Rasa releases to tutorials on how to build chatbots. It's a great resource for anyone who wants to learn more about Rasa and how to use it to build chatbots.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/sgycc8/introduction
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Mohammed Murtuza Qureshi
Good to know
Suitable for Chatbot developers seeking to enhance their Rasa Chatbot's capabilities
Introduces Rasa X, a valuable tool for developing and sharing chatbots
Covers advanced features such as Forms, dynamic slot mapping, and retrieval intents
Suitable for learners familiar with basic Rasa concepts
Note that access to Rasa X is required for the course
Assumes a working knowledge of Python programming
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