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Mohammed Murtuza Qureshi
In this 1-hour long project-based course, you will learn how to connect Rasa Chatbot to external platforms. We will first look at enable a encrypted connection (HTTPS) using a proxy server from Ngrok. We will then look at how to connect to Facebook Messenger using Facebook Developer Account. We will look at how to create custom buttons like quick replies and Carousel Cards for listing elements.
Read more
In this 1-hour long project-based course, you will learn how to connect Rasa Chatbot to external platforms. We will first look at enable a encrypted connection (HTTPS) using a proxy server from Ngrok. We will then look at how to connect to Facebook Messenger using Facebook Developer Account. We will look at how to create custom buttons like quick replies and Carousel Cards for listing elements.
Read more
In this 1-hour long project-based course, you will learn how to connect Rasa Chatbot to external platforms. We will first look at enable a encrypted connection (HTTPS) using a proxy server from Ngrok. We will then look at how to connect to Facebook Messenger using Facebook Developer Account. We will look at how to create custom buttons like quick replies and Carousel Cards for listing elements.
We will then move on to look at how to connect the chatbot to Telegram and how to customize buttons and add attachments to a response. Finally, we will also look like how to integrate the bot on the business communication platform Slack. By the end of the project, you will be able to connect your chatbot to external users on public platforms.
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/166qie/connecting
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What's inside
Syllabus
Project Overview
In this project, we will look at how to connect our Rasa Chatbot to external platforms. We will first look at how to connect to Facebook Messenger using Facebook Developer Account. We will look at how to create custom buttons like quick replies and Carousel Cards for listing elements. We will then move on to look at how to connect the chatbot to Telegram and how to customize buttons and add attachments to a response. Finally, we will also look like how to integrate the bot on the business communication platform Slack.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps students learn to connect and work with various social media platforms to expand the reach and functionality of chatbot solutions
Hands-on project that provides practical experience in using a proxy server from Ngrok to enable HTTPS connections for chatbots
Covers integration with popular messaging platforms like Facebook Messenger, Telegram, and Slack, enabling students to connect chatbots to real-world applications
Suitable for learners in the North America region, excluding those in other regions
Save this course
Save Connecting Rasa Chatbot to External Platforms 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 Connecting Rasa Chatbot to External Platforms with these
activities:
Practice using Ngrok to enable HTTPS encryption
Show steps
Ngrok is a tool that will enable you to connect your Rasa Chatbot to external platforms securely using HTTPS encryption.
Show steps
-
Sign up for a free Ngrok account
-
Download and install Ngrok
-
Create a tunnel for your Rasa Chatbot
-
Test your HTTPS connection
Practice creating custom buttons in Facebook Messenger
Show steps
Custom buttons in Facebook Messenger can enhance user engagement and provide a more interactive experience. This activity will give you hands-on practice creating these buttons.
Show steps
-
Create a Facebook Developer account
-
Set up a Facebook Messenger bot
-
Design and create quick reply buttons
-
Design and create Carousel Cards
Practice connecting your chatbot to Telegram
Show steps
Telegram is a popular messaging platform. This activity will provide you with the opportunity to practice connecting your Rasa Chatbot to Telegram.
Show steps
-
Create a Telegram account
-
Create a Telegram bot
-
Connect your Rasa Chatbot to your Telegram bot
-
Test your connection
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice customizing buttons and adding attachments to responses in Telegram
Show steps
Customizing buttons and adding attachments to responses in Telegram can enhance the user experience and provide more engaging interactions. This activity will give you practice with these techniques.
Show steps
-
Design and create custom buttons
-
Add attachments to your responses
-
Test your customizations
Follow a tutorial on integrating your chatbot with Slack
Show steps
Slack is a widely used business communication platform. This activity will guide you through the process of integrating your Rasa Chatbot with Slack.
Show steps
-
Find a tutorial on integrating Rasa Chatbot with Slack
-
Follow the tutorial step-by-step
-
Test your integration
Create a blog post or article about your experience connecting your chatbot to external platforms
Show steps
Documenting your experience and sharing it with others can help solidify your learning and benefit the community.
Show steps
-
Choose a topic to write about
-
Research and gather information
-
Write your blog post or article
-
Publish your work
Mentor a junior student or colleague on connecting chatbots to external platforms
Show steps
Mentoring others can reinforce your understanding of the material and help you develop valuable leadership skills.
Show steps
-
Identify a mentee
-
Set up a regular meeting schedule
-
Provide guidance and support
-
Track progress and provide feedback
Contribute to an open-source project related to chatbot integration
Show steps
Contributing to open-source projects allows you to give back to the community and gain valuable experience.
Show steps
-
Find an open-source project to contribute to
-
Identify an area where you can make a contribution
-
Make your contribution
-
Submit a pull request
Practice using Ngrok to enable HTTPS encryption
Show steps
Ngrok is a tool that will enable you to connect your Rasa Chatbot to external platforms securely using HTTPS encryption.
Show steps
Show steps
Show steps
- Sign up for a free Ngrok account
- Download and install Ngrok
- Create a tunnel for your Rasa Chatbot
- Test your HTTPS connection
Practice creating custom buttons in Facebook Messenger
Show steps
Custom buttons in Facebook Messenger can enhance user engagement and provide a more interactive experience. This activity will give you hands-on practice creating these buttons.
Show steps
Show steps
Show steps
- Create a Facebook Developer account
- Set up a Facebook Messenger bot
- Design and create quick reply buttons
- Design and create Carousel Cards
Practice connecting your chatbot to Telegram
Show steps
Telegram is a popular messaging platform. This activity will provide you with the opportunity to practice connecting your Rasa Chatbot to Telegram.
Show steps
Show steps
Show steps
- Create a Telegram account
- Create a Telegram bot
- Connect your Rasa Chatbot to your Telegram bot
- Test your connection
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice customizing buttons and adding attachments to responses in Telegram
Show steps
Customizing buttons and adding attachments to responses in Telegram can enhance the user experience and provide more engaging interactions. This activity will give you practice with these techniques.
Show steps
Show steps
Show steps
- Design and create custom buttons
- Add attachments to your responses
- Test your customizations
Follow a tutorial on integrating your chatbot with Slack
Show steps
Slack is a widely used business communication platform. This activity will guide you through the process of integrating your Rasa Chatbot with Slack.
Show steps
Show steps
Show steps
- Find a tutorial on integrating Rasa Chatbot with Slack
- Follow the tutorial step-by-step
- Test your integration
Create a blog post or article about your experience connecting your chatbot to external platforms
Show steps
Documenting your experience and sharing it with others can help solidify your learning and benefit the community.
Show steps
Show steps
Show steps
- Choose a topic to write about
- Research and gather information
- Write your blog post or article
- Publish your work
Mentor a junior student or colleague on connecting chatbots to external platforms
Show steps
Mentoring others can reinforce your understanding of the material and help you develop valuable leadership skills.
Show steps
Show steps
Show steps
- Identify a mentee
- Set up a regular meeting schedule
- Provide guidance and support
- Track progress and provide feedback
Contribute to an open-source project related to chatbot integration
Show steps
Contributing to open-source projects allows you to give back to the community and gain valuable experience.
Show steps
Show steps
Show steps
- Find an open-source project to contribute to
- Identify an area where you can make a contribution
- Make your contribution
- Submit a pull request
Career center
Learners who complete Connecting Rasa Chatbot to External Platforms will develop knowledge and skills
that may be useful to these careers:
Project Manager
Project Manager
Project Managers plan and manage projects. They work with stakeholders to ensure projects are completed on time and within budget. Familiarity with connecting platforms is a useful skill for a Project Manager. This course introduces secure platform connections, which is useful for connecting different types of platforms to manage projects effectively.
Product Manager
Product Manager
Product Managers plan and develop products. They work with engineers and designers to bring products to market. Familiarity with connecting platforms is a useful skill for a Product Manager. This course introduces secure platform connections, which is useful for connecting different types of platforms to create new products and services.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems. They work to improve efficiency and effectiveness. Familiarity with connecting platforms is a useful skill for a Business Analyst. This course introduces secure platform connections, which is useful for connecting different types of business systems securely.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. Familiarity with connecting platforms is a useful skill for a Database Administrator. This course introduces secure platform connections, which is useful for connecting different types of databases securely.
Systems Administrator
Systems Administrator
Systems Administrators manage computer systems and networks. Familiarity with connecting platforms is a useful skill for a Systems Administrator. This course introduces secure platform connections, which is useful for connecting different types of systems securely.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. Familiarity with connecting platforms is a useful skill for a Network Engineer. This course introduces secure platform connections, which is useful for connecting different types of networks securely.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access or attacks. Familiarity with connecting platforms securely is a crucial skill for an Information Security Analyst. This course introduces secure platform connections, which can help an Information Security Analyst to protect multiple platforms from threats.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations. Familiarity with connecting platforms is a useful skill for a DevOps Engineer. This course introduces secure platform connections, which is useful for automating tasks and streamlining processes between development and operations.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. Familiarity with connecting platforms is a useful skill for a Cloud Engineer. This course helps build a foundation for connecting different types of platforms through cloud computing, which can streamline processes and automate tasks.
Full-Stack Developer
Full-Stack Developer
Full Stack Developers design, develop, and maintain software systems that run on both the front end and the back end. Familiarity with connecting platforms is a useful skill for a Full Stack Developer. This course introduces secure platform connections, which is useful for connecting different components of a full-stack application.
Web Developer
Web Developer
Web Developers design and develop websites. Familiarity with connecting platforms is a useful skill for a Web Developer. This course introduces secure platform connections, which is useful for connecting web applications to multiple services and platforms.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. Familiarity with connecting platforms is a useful skill for a Software Engineer. This course introduces connecting multiple platforms securely, which is useful for software that must integrate with multiple systems.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and create solutions. They work with large datasets to find patterns and trends. This course helps build a foundation for connecting different platforms for use in gathering and analyzing data. Familiarity with connecting platforms is a useful skill for a Data Scientist, who needs to be able to access data from multiple sources.
Data Analyst
Data Analyst
Data Analysts use data to find trends and patterns. This helps businesses make better decisions. Familiarity with connecting platforms is a useful skill for a Data Analyst. This course helps build foundational knowledge of how to connect different types of platforms, including secure platforms. This is useful for a Data Analyst who needs to gather and analyze data from multiple sources.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use artificial intelligence and machine learning to solve problems and create solutions. This course helps build a foundation for connecting different platforms for use in AI and machine learning work. For example, connecting user interfaces to data storage platforms and databases is a common task for ML engineers. This can be done on a large scale, enabling the ML engineer to automate tasks and streamline processes. Familiarity with connecting platforms is crucial for any ML Engineer.
For more career information including salaries, visit:
OpenCourser.com/course/166qie/connecting
Reading list
We've selected eight 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
Connecting Rasa Chatbot to External Platforms.
Classic introduction to reinforcement learning and provides a comprehensive overview of the field. It valuable resource for anyone interested in learning about the fundamental principles and applications of reinforcement learning.
Is written by the creator of Keras and provides a comprehensive introduction to deep learning with Python. It valuable resource for anyone interested in learning about the fundamentals of deep learning and how to apply it to real-world problems.
Provides a comprehensive introduction to probabilistic graphical models and covers a wide range of topics, including Bayesian networks, Markov random fields, and Kalman filters. It valuable resource for anyone interested in learning about the fundamentals of probabilistic graphical models and how to apply them to real-world problems.
Provides a practical introduction to machine learning with Python and popular libraries such as Scikit-Learn, Keras, and TensorFlow. It valuable resource for anyone interested in implementing machine learning algorithms.
Serves as a comprehensive reference on speech and language processing, including topics such as phonetics, phonology, morphology, syntax, semantics, and pragmatics.
Provides an introduction to natural language understanding, focusing on the computational modeling of language comprehension. It covers topics such as semantics, pragmatics, and discourse analysis.
Explores the applications of deep learning to natural language processing. It covers a variety of deep learning models and techniques, such as recurrent neural networks and transformers, and shows how to apply them to tasks like text classification and machine translation.
Is designed for beginners and provides a comprehensive introduction to natural language processing using Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/166qie/connecting
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Mohammed Murtuza Qureshi
Language
English
Good to know
Helps students learn to connect and work with various social media platforms to expand the reach and functionality of chatbot solutions
Hands-on project that provides practical experience in using a proxy server from Ngrok to enable HTTPS connections for chatbots
Covers integration with popular messaging platforms like Facebook Messenger, Telegram, and Slack, enabling students to connect chatbots to real-world applications
Suitable for learners in the North America region, excluding those in other regions
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