Building Your First Chatbot Using Rasa Framework 2.0 from Coursera

In this 2-hour long project-based course, you will learn how to create a chatbot assistant using the Open Source Chatbot Framework Rasa. Rasa is a free-to-use chatbot building framework developed in Python. In the project, we will be building a shopping chatbot which will help users with suggestions of laptops and phones based on their preference and budget. We will look at how to what’s Rasa NLU, a natural language understanding tool by Rasa. Then we will be looking at what’s Rasa Core which is a dialogue management system developed by Rasa. We will be building a shopping bot which will suggest products based on the user’s input. We will look at how to define intents, entities, writing training data for Rasa Core using Rules & Stories (example conversations). We will look at NLU training pipeline then learn how to define custom actions which can run Python code for a response. 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.

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Know what's good

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Perfect for learners focused on Software Development

Teaches skills and knowledge highly relevant to industry

Taught by Mohammed Murtuza Qureshi, who are recognized for their work in the topic of the course

Examines Rasa, which is highly relevant to Software Development

Develops skills through a project-based approach

Reviews summary

Chatbot construction course

This course covers the basics of creating a chatbot using the Rasa Framework. It starts off well, but some learners found that it became disorganized towards the end. The instructor's accent may be difficult for some to understand.

Instructor's accent may be difficult to understand.

"The presenter had strongly accented English, and was very painful to follow."

Course may be hard to follow.

"It started strong but fell apart for me at the end, with the instructor jumping all over the place and not explaining why he was changing things that had been well explained earlier."

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 Your First Chatbot Using Rasa Framework 2.0 with these activities:

Explore Rasa NLU Documentation

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Deepen your understanding of the Rasa framework by exploring its core capabilities.

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Review the Rasa NLU documentation to understand its components and functionality.
Follow online tutorials or guided walkthroughs to implement Rasa NLU in practical examples.

Define Intents and Entities

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Practice creating intents and entities to improve the accuracy and effectiveness of your chatbot.

Browse courses on Intents

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Identify different user intents and corresponding responses.
Define custom entities to capture specific information from user input.
Create a training dataset with annotated examples to train the Rasa NLU model.

Build a Simple Chatbot Prototype

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Apply your knowledge to create a working chatbot prototype, solidifying your understanding of the full chatbot building process.

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Design the conversation flow and define the chatbot's functionality.
Implement the chatbot using Rasa Core, including intents, entities, and custom actions.
Test and refine the chatbot to ensure it meets user requirements.

Three other activities

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Attend a Chatbot Building Workshop

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Engage with experts and fellow learners in a workshop setting, expanding your knowledge and skills.

Browse courses on Chatbot Development

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Research and identify relevant chatbot building workshops in your area.
Attend the workshop, participate actively, and take notes.

Deploy and Share Your Chatbot

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Showcase your work and share your chatbot with others, demonstrating your proficiency in chatbot development.

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Choose a suitable platform or channel to deploy your chatbot.
Configure and deploy your chatbot on the chosen platform.
Share your chatbot with others for feedback and evaluation.

Contribute to Open Source Chatbot Projects

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Gain practical experience and contribute to the advancement of the chatbot field by participating in open source projects.

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Identify open source chatbot projects that align with your interests.
Contribute to the project by reporting bugs, suggesting improvements, or submitting code.

Career center

Learners who complete Building Your First Chatbot Using Rasa Framework 2.0 will develop knowledge and skills that may be useful to these careers:

Chatbot Developer

As a Chatbot Developer, you will be responsible for designing, developing, and deploying chatbots that can engage in natural language conversations with users. This course will provide you with the skills you need to build chatbots using the Rasa framework, which is one of the most popular open-source chatbot development platforms. You will learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. You will also learn how to define custom actions that can run Python code to perform specific tasks. This course will give you the foundation you need to build chatbots that can help businesses automate customer service, sales, and marketing tasks.

See salaries and explore the career path for Chatbot Developer

NLP Engineer

As an NLP Engineer, you will be responsible for developing and deploying natural language processing (NLP) models that can be used in a variety of applications, such as chatbots, machine translation, and text classification. This course will provide you with the skills you need to build NLP models using the Rasa framework, which is one of the most popular open-source NLP platforms. You will learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. You will also learn how to define custom actions that can run Python code to perform specific tasks. This course will give you the foundation you need to build NLP models that can help businesses automate customer service, sales, and marketing tasks.

See salaries and explore the career path for NLP Engineer

Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning models that can be used in a variety of applications, such as chatbots, fraud detection, and predictive analytics. This course will provide you with the skills you need to build machine learning models using the Rasa framework, which is one of the most popular open-source machine learning platforms. You will learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. You will also learn how to define custom actions that can run Python code to perform specific tasks. This course will give you the foundation you need to build machine learning models that can help businesses automate customer service, sales, and marketing tasks.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

As a Software Engineer, you will be responsible for designing, developing, and deploying software applications. This course will provide you with the skills you need to build software applications using the Rasa framework, which is one of the most popular open-source software development platforms. You will learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. You will also learn how to define custom actions that can run Python code to perform specific tasks. This course will give you the foundation you need to build software applications that can help businesses automate customer service, sales, and marketing tasks.

See salaries and explore the career path for Software Engineer

Data Scientist

As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course will provide you with the skills you need to use the Rasa framework to build chatbots that can collect and analyze data from user conversations. You will also learn how to use Rasa Core to manage chatbot dialogues and to define custom actions that can run Python code to perform specific tasks. This course will give you the foundation you need to build chatbots that can help businesses automate customer service, sales, and marketing tasks.

See salaries and explore the career path for Data Scientist

Business Analyst

As a Business Analyst, you will be responsible for understanding the business needs of an organization and developing solutions to meet those needs. This course will provide you with the skills you need to use the Rasa framework to build chatbots that can help businesses automate customer service, sales, and marketing tasks. You will also learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. This course will give you the foundation you need to build chatbots that can help businesses improve their efficiency and customer satisfaction.

See salaries and explore the career path for Business Analyst

Product Manager

As a Product Manager, you will be responsible for developing and managing products and services that meet the needs of customers. This course will provide you with the skills you need to use the Rasa framework to build chatbots that can help businesses automate customer service, sales, and marketing tasks. You will also learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. This course will give you the foundation you need to build chatbots that can help businesses improve their products and services.

See salaries and explore the career path for Product Manager

Marketing Manager

As a Marketing Manager, you will be responsible for developing and executing marketing campaigns that reach and engage target audiences. This course will provide you with the skills you need to use the Rasa framework to build chatbots that can help businesses automate customer service, sales, and marketing tasks. You will also learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. This course will give you the foundation you need to build chatbots that can help businesses improve their marketing effectiveness.

See salaries and explore the career path for Marketing Manager

Sales Manager

As a Sales Manager, you will be responsible for leading and motivating a sales team to achieve sales goals. This course will provide you with the skills you need to use the Rasa framework to build chatbots that can help businesses automate customer service, sales, and marketing tasks. You will also learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. This course will give you the foundation you need to build chatbots that can help businesses improve their sales performance.

See salaries and explore the career path for Sales Manager

Customer Success Manager

As a Customer Success Manager, you will be responsible for ensuring that customers are satisfied with a company's products and services. This course will provide you with the skills you need to use the Rasa framework to build chatbots that can help businesses automate customer service, sales, and marketing tasks. You will also learn how to use Rasa NLU to understand user intents and entities, and how to use Rasa Core to manage chatbot dialogues. This course will give you the foundation you need to build chatbots that can help businesses improve their customer satisfaction.

See salaries and explore the career path for Customer Success Manager

Building Your First Chatbot Using Rasa Framework 2.0

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Chatbot construction course

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