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Amit Yadav
In this 2 hour long project-based course, you will learn to create chatbots with Rasa and Python. Rasa is a framework for developing AI powered, industrial grade chatbots. It’s incredibly powerful, and is used by developers worldwide to create chatbots and contextual assistants. In this project, we are going to understand some of the most important basic aspects of the Rasa framework and chatbot development. Once you’re done with this project, you will be able to create simple AI powered chatbots on your own.
Read more
In this 2 hour long project-based course, you will learn to create chatbots with Rasa and Python. Rasa is a framework for developing AI powered, industrial grade chatbots. It’s incredibly powerful, and is used by developers worldwide to create chatbots and contextual assistants. In this project, we are going to understand some of the most important basic aspects of the Rasa framework and chatbot development. Once you’re done with this project, you will be able to create simple AI powered chatbots on your own.
Read more
In this 2 hour long project-based course, you will learn to create chatbots with Rasa and Python. Rasa is a framework for developing AI powered, industrial grade chatbots. It’s incredibly powerful, and is used by developers worldwide to create chatbots and contextual assistants. In this project, we are going to understand some of the most important basic aspects of the Rasa framework and chatbot development. Once you’re done with this project, you will be able to create simple AI powered chatbots on your own.
This project is ideal for programmers who want to get started with chatbot development. You don't need any machine learning or prior chatbot development experience. However, you should be familiar with Python programming.
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/fkxi1g/create
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What's inside
Syllabus
Create Your First Chatbot with Rasa and Python
In this 2 hour long project-based course, you will learn to create chatbots with Rasa and Python. Rasa is a framework for developing AI powered, industrial grade chatbots. It’s incredibly powerful, and is used by developers worldwide to create chatbots and contextual assistants. In this project, we are going to understand some of the most important basic aspects of the Rasa framework and chatbot development. Once you’re done with this project, you will be able to create simple AI powered chatbots on your own.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills, knowledge, and tools used in industry
Content is project-based, which allows for hands-on learning
Taught by Amit Yadav, who has created chatbot software
Introduces basic chatbot development principles
Course is part of a series of other courses, which indicates comprehensiveness
No explicit requirements for prior knowledge or experience
Save this course
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Reviews summary
Effective chatbot creation with rasa and python
Learners say this course greatly assists beginners who want to create chatbots. It is largely positive due to engaging assignments, a knowledgeable instructor, and content that is well received. The course uses hands-on projects to build a chatbot using Rasa and Python. It covers basic chatbot concepts like intents, entities, and stories. However, some learners note that the course could be more in-depth and provide more advanced topics.
Gains foundational Rasa knowledge.
"It provided a good basic understanding of chatbot with Rasa and Python."
"A perfect introduction to chat bot development."
"Foundational idea about how to build chatbot using rasa."
Suitable for beginners with little to no experience.
"Very useful for complete beginners."
"Excellent Course for Beginners without knowing much details about AI and Python."
"This project is just the basic overview of rasa but was very helpful."
Interactive learning through practical exercises.
"Learnt a lot in a very very short time."
"This was my first guided project experience on Coursera. It was indeed great and would recommend this guided project to all as instructor was really good in explaining elements used to make project."
Technical difficulties with the cloud-based platform.
"The rhyme site crashes numerous times which made me refresh every now and then."
"Cloud Desktop and video was struck so many times during course. Not able to feel the benefits because of irregular struck."
"The rhyme window is not working properly."
Insufficient coverage of advanced topics.
"For me there was a lack of depth and it really needs at least an overview of what Rasa can do at the end."
"The project is just the basic overview of rasa but was very helpful. I feel A little bit more explanation about what can we do with this technology and some examples would have been great at the end of the project."
"This project is too short for such a big and trending topic."
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 Create Your First Chatbot with Rasa and Python with these
activities:
Attend a chatbot development meetup
Show steps
Attending a chatbot development meetup can allow you to connect with other professionals in the field and learn about the latest trends.
Show steps
-
Find a chatbot development meetup
-
RSVP to the meetup
-
Attend the meetup
Follow tutorials on chatbot development
Show steps
Following tutorials can help you reinforce the concepts you learn in the course and gain practical experience.
Show steps
-
Complete the Rasa tutorial
-
Watch videos on YouTube about chatbot development
-
Read articles on Medium about chatbot development
Practice chatbot development exercises
Show steps
Practice exercises will assist you in understanding the basic concepts of chatbot development.
Show steps
-
Solve the practice exercises on Rasa's documentation
-
Build a simple chatbot using Rasa's API
-
Implement a chatbot using the Rasa NLU engine
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a chatbot development workshop
Show steps
Attending a chatbot development workshop can provide you with hands-on experience and the opportunity to learn from experts.
Show steps
-
Find a chatbot development workshop
-
Register for the workshop
-
Attend the workshop
Create a chatbot for a specific use case
Show steps
Creating a chatbot for a specific use case will allow you to apply your knowledge and skills to a real-world problem.
Show steps
-
Identify a specific use case for a chatbot
-
Design the chatbot's conversation flow
-
Develop the chatbot using Rasa
Create a chatbot documentation
Show steps
Creating a chatbot documentation will help you organize your knowledge and understanding of the chatbot you have developed.
Show steps
-
Write down the steps involved in developing the chatbot
-
Describe the chatbot's features and capabilities
-
Provide instructions on how to use the chatbot
Start a chatbot development project
Show steps
Starting a chatbot development project will allow you to put your knowledge and skills into practice and build a portfolio of work.
Show steps
-
Identify a problem that can be solved using a chatbot
-
Develop a plan for the chatbot
-
Build the chatbot using Rasa
-
Deploy the chatbot
Attend a chatbot development meetup
Show steps
Attending a chatbot development meetup can allow you to connect with other professionals in the field and learn about the latest trends.
Show steps
Show steps
Show steps
- Find a chatbot development meetup
- RSVP to the meetup
- Attend the meetup
Follow tutorials on chatbot development
Show steps
Following tutorials can help you reinforce the concepts you learn in the course and gain practical experience.
Show steps
Show steps
Show steps
- Complete the Rasa tutorial
- Watch videos on YouTube about chatbot development
- Read articles on Medium about chatbot development
Practice chatbot development exercises
Show steps
Practice exercises will assist you in understanding the basic concepts of chatbot development.
Show steps
Show steps
Show steps
- Solve the practice exercises on Rasa's documentation
- Build a simple chatbot using Rasa's API
- Implement a chatbot using the Rasa NLU engine
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a chatbot development workshop
Show steps
Attending a chatbot development workshop can provide you with hands-on experience and the opportunity to learn from experts.
Show steps
Show steps
Show steps
- Find a chatbot development workshop
- Register for the workshop
- Attend the workshop
Create a chatbot for a specific use case
Show steps
Creating a chatbot for a specific use case will allow you to apply your knowledge and skills to a real-world problem.
Show steps
Show steps
Show steps
- Identify a specific use case for a chatbot
- Design the chatbot's conversation flow
- Develop the chatbot using Rasa
Create a chatbot documentation
Show steps
Creating a chatbot documentation will help you organize your knowledge and understanding of the chatbot you have developed.
Show steps
Show steps
Show steps
- Write down the steps involved in developing the chatbot
- Describe the chatbot's features and capabilities
- Provide instructions on how to use the chatbot
Start a chatbot development project
Show steps
Starting a chatbot development project will allow you to put your knowledge and skills into practice and build a portfolio of work.
Show steps
Show steps
Show steps
- Identify a problem that can be solved using a chatbot
- Develop a plan for the chatbot
- Build the chatbot using Rasa
- Deploy the chatbot
Career center
Learners who complete Create Your First Chatbot with Rasa and Python will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their expertise in machine learning algorithms and software engineering to develop, test, and deploy machine learning models. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Machine Learning Engineers can leverage this knowledge to build chatbots that leverage machine learning for tasks such as natural language processing, sentiment analysis, and customer service automation. By understanding the principles of chatbot development and the capabilities of Rasa, Machine Learning Engineers can create more intelligent and engaging chatbots.
Data Scientist
Data Scientist
Data Scientists use their expertise in statistics, machine learning, and data analysis to extract insights from data. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Data Scientists can leverage this knowledge to build chatbots that can analyze customer data, identify patterns, and provide personalized recommendations. By understanding the principles of chatbot development and the capabilities of Rasa, Data Scientists can create chatbots that help businesses make better decisions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Software Engineers can leverage this knowledge to build chatbots that are integrated with existing software systems, automate tasks, and provide a better user experience. By understanding the principles of chatbot development and the capabilities of Rasa, Software Engineers can create chatbots that help businesses improve their operations.
Product Manager
Product Manager
Product Managers are responsible for defining, developing, and launching new products and features. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Product Managers can leverage this knowledge to build chatbots that meet the needs of their users, provide a better customer experience, and drive product growth. By understanding the principles of chatbot development and the capabilities of Rasa, Product Managers can create chatbots that help businesses succeed.
UX Designer
UX Designer
UX Designers create user interfaces that are both visually appealing and easy to use. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. UX Designers can leverage this knowledge to build chatbots that are user-friendly, intuitive, and engaging. By understanding the principles of chatbot development and the capabilities of Rasa, UX Designers can create chatbots that provide a better user experience.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve business processes. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Business Analysts can leverage this knowledge to build chatbots that automate tasks, improve customer service, and drive business growth. By understanding the principles of chatbot development and the capabilities of Rasa, Business Analysts can create chatbots that help businesses achieve their goals.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Technical Writers can leverage this knowledge to create documentation for chatbots, including user guides, tutorials, and API documentation. By understanding the principles of chatbot development and the capabilities of Rasa, Technical Writers can create documentation that helps users understand and use chatbots effectively.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, including strategy, operations, and technology. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Consultants can leverage this knowledge to advise businesses on how to use chatbots to improve customer service, automate tasks, and drive business growth. By understanding the principles of chatbot development and the capabilities of Rasa, Consultants can provide valuable advice to businesses looking to implement chatbots.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Project Managers can leverage this knowledge to manage chatbot development projects, including planning, budgeting, and risk management. By understanding the principles of chatbot development and the capabilities of Rasa, Project Managers can help ensure that chatbot projects are successful.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers get the most value from their products and services. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Customer Success Managers can leverage this knowledge to build chatbots that provide support to customers, answer questions, and resolve issues. By understanding the principles of chatbot development and the capabilities of Rasa, Customer Success Managers can help customers get the most out of their products and services.
Sales Engineer
Sales Engineer
Sales Engineers help customers understand and evaluate technical products and services. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Sales Engineers can leverage this knowledge to build chatbots that can answer customer questions, provide product demos, and generate leads. By understanding the principles of chatbot development and the capabilities of Rasa, Sales Engineers can help customers make informed purchasing decisions.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Data Analysts can leverage this knowledge to build chatbots that can analyze data, identify trends, and provide insights. By understanding the principles of chatbot development and the capabilities of Rasa, Data Analysts can create chatbots that help businesses make better decisions.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software to ensure that it meets the required standards and specifications. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Quality Assurance Analysts can leverage this knowledge to test chatbots for accuracy, reliability, and performance. By understanding the principles of chatbot development and the capabilities of Rasa, Quality Assurance Analysts can help ensure that chatbots are of high quality and meet the needs of users.
IT Support Specialist
IT Support Specialist
IT Support Specialists provide technical support to users of computer systems and software. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. IT Support Specialists can leverage this knowledge to build chatbots that can provide help to users, answer questions, and resolve issues. By understanding the principles of chatbot development and the capabilities of Rasa, IT Support Specialists can provide better support to users.
Marketing Specialist
Marketing Specialist
Marketing Specialists develop and execute marketing campaigns to promote products and services. This course provides a foundation in Rasa, a framework for developing AI-powered chatbots. Marketing Specialists can leverage this knowledge to build chatbots that can generate leads, nurture prospects, and close deals. By understanding the principles of chatbot development and the capabilities of Rasa, Marketing Specialists can create chatbots that help businesses grow their revenue.
For more career information including salaries, visit:
OpenCourser.com/course/fkxi1g/create
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
Create Your First Chatbot with Rasa and Python.
Provides a comprehensive overview of conversational AI, covering topics such as the history, foundations, applications, and future directions of the field. It valuable resource for those interested in the theoretical and practical aspects of conversational AI.
Save
Focuses on the design of chatbots, providing practical guidance on how to create engaging and effective conversational experiences. It covers topics such as user research, prototyping, and testing.
Provides a comprehensive overview of natural language processing (NLP) techniques, including chatbot development. It covers essential NLP concepts, such as tokenization, stemming, and parsing, and provides hands-on exercises to help you build your own chatbots.
Provides a hands-on guide to building conversational chatbots using Python and the Rasa framework. It covers topics such as natural language understanding, dialogue management, and deployment.
Focuses on the design of chatbots with personality, providing practical guidance on how to create engaging and memorable chatbot experiences.
Provides a hands-on guide to building chatbots with Python using popular NLP libraries such as NLTK and spaCy. It covers topics such as text preprocessing, intent recognition, and response generation.
Provides an introduction to deep learning for NLP, covering topics such as neural networks, word embeddings, and sequence modeling. It valuable resource for those interested in exploring the use of deep learning in chatbot development.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fkxi1g/create
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Amit Yadav
Language
English
Good to know
Teaches skills, knowledge, and tools used in industry
Content is project-based, which allows for hands-on learning
Taught by Amit Yadav, who has created chatbot software
Introduces basic chatbot development principles
Course is part of a series of other courses, which indicates comprehensiveness
No explicit requirements for prior knowledge or experience
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