Creating Voice and Chatbots That Work Everywhere from Pluralsight

With all the options out there, creating a voice and chatbot today can be a daunting decision. In this course, you'll take the stress out of figuring it all out by learning how to build a cross-channel conversational bot that works everywhere.

Do you know how to build a chatbot or a voice interface? Amazon Echo or Google Home? Facebook Messenger or Slack bot? How about all of the above and more? In this course, Creating Voice and Chatbots That Work Everywhere, you'll learn how to build a single conversational interface in C# and the .NET Web API framework that works across all chat and voice channels from Amazon Alexa, Google Assistant, Microsoft Cortana, Slack, Facebook Messenger, SMS, and many others. First, you'll explore the overall landscape and conversational flow design concepts. Next, you'll dive into intents and intent handling. Finally, you'll discover advanced debugging techniques using Remote Debugger. When you're finished with this course, you'll not only have a clear understanding of how you can deploy bots across multiple voice and chat channels, but you'll also have a fully functional bot prototype that you can continue to grow and evolve.

What's inside

Syllabus

Course Overview

What Is a Conversational Interface?

Making Cross-channel Support a Breeze

Kicking Off the Conversation with the .NET Web API Framework

Talking to Alexa, Cortana, Google, Slack, Facebook, and Twilio

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Tailored for those who want to build voice and chatbots that can be used across multiple platforms, from Alexa to Facebook Messenger

Teaches industry-standard .NET Web API and C# for building chat and voice bots

Covers the foundational concepts of conversational interface design

Provides guidance on integrating bots with popular platforms like Slack, SMS, and Twilio

Suitable for beginners with minimal programming experience

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 Creating Voice and Chatbots That Work Everywhere with these activities:

Review of programming fundamentals

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Ensure you're comfortable with core programming principles for an easier time learning the course materials.

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Revisit basic programming concepts
Practice writing and running sample programs
Review the .NET Web API Framework

Review OOP (C#)

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Reinforce your understanding of the fundamentals of object-oriented programming in C#, which will be crucial for building conversational bots.

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Revisit basic OOP concepts such as classes, objects, inheritance, and polymorphism.
Solve coding exercises or practice problems to strengthen your grasp of OOP principles.
Review documentation or tutorials on advanced OOP topics.

Attend Conversational AI Meetup

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Connect with professionals in the field of conversational AI, exchange knowledge, and stay informed about industry trends.

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Locate and attend a Conversational AI Meetup in your area.
Engage in discussions, share your experiences, and seek advice.
Follow up with interesting contacts and explore potential collaborations.

Nine other activities

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Explore Bot Framework Tutorial by Microsoft

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Deepen your understanding of bot development by following guided tutorials, such as Microsoft's Bot Framework tutorial, to build your first chatbot.

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Follow the step-by-step instructions to create a simple bot.
Experiment with different features and funcionalidades provided by the framework.
Refer to additional resources and documentation for further exploration.

Build a sample chatbot using a chatbot framework

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Reinforce the concepts of building conversational interfaces by creating a sample chatbot.

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Choose a chatbot framework (e.g., Bot Framework, Dialogflow, Rasa)
Design the chatbot's conversation flow
Implement the chatbot's logic and functionality
Test and debug the chatbot

Build basic conversational bots

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Gain hands-on experience in bot development to better understand their creation and deployment.

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Create a simple chatbot using the .NET Web API Framework
Develop an intent and handling mechanism
Implement rudimentary debugging techniques

Participate in Chatbot Development Workshop

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Enhance your practical skills by participating in a chatbot development workshop, where you can learn from industry experts and work on real-world projects.

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Identify and register for a relevant chatbot development workshop.
Actively participate in the workshop, ask questions, and contribute.
Network with other participants and instructors.
Apply the knowledge and techniques learned to your own projects.

Develop a cross-channel chatbot prototype

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Apply the concepts of building cross-channel chatbots by developing a prototype that works on multiple platforms.

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Define the chatbot's purpose and target audience
Design the chatbot's interface and conversation flow
Implement the chatbot's logic and functionality
Test and debug the chatbot on different platforms

Explore cross-channel bot development

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Expand your knowledge by following tutorials on integrating chatbots across multiple platforms.

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Identify tutorials from reputable sources
Follow step-by-step instructions to deploy bots on various platforms
Analyze best practices for cross-channel bot integration

Design and Build a Chatbot Prototype

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Apply your knowledge by designing and building a chatbot prototype that incorporates the concepts and techniques covered in the course.

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Define the purpose and functionalities of your chatbot.
Design the conversation flow and user interface.
Implement the chatbot using the .NET Web API framework.
Test and iterate your chatbot to enhance its performance.

Contribute to Open-Source Chatbot Projects

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Gain practical experience and contribute to the broader conversational AI community by participating in open-source chatbot projects.

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Find reputable open-source chatbot projects on platforms like GitHub.
Review the project documentation and identify areas where you can contribute.
Submit pull requests with your code contributions or documentation improvements.
Engage with the project maintainers and community members.

Develop a Cross-Platform Conversational Bot

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Demonstrate your ability to build a production-ready chatbot that can interact with users across multiple channels.

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Integrate your chatbot with popular platforms such as Amazon Alexa, Google Assistant, or Facebook Messenger.
Handle different types of user inputs and respond appropriately.
Implement error handling and logging mechanisms to ensure reliability.
Deploy and monitor your chatbot in a real-world setting.

Career center

Learners who complete Creating Voice and Chatbots That Work Everywhere will develop knowledge and skills that may be useful to these careers:

Software Developer

Software Developers create applications that run on various platforms. By enrolling in "Creating Voice and Chatbots That Work Everywhere", you may build a solid foundation in designing cross-channel conversational interfaces, which can be valuable in this role. Understanding how to build voice and chatbot interfaces can enable you to contribute effectively to the development of user-friendly software products.

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Web Developer

Web Developers design, develop, and maintain websites. Understanding how to create voice and chatbot interfaces, as taught in "Creating Voice and Chatbots That Work Everywhere", can be beneficial in this field. Course topics on designing cross-channel conversational interfaces can provide insights into how to create user-friendly and engaging web experiences.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists analyze data to extract insights and solve problems. The course "Creating Voice and Chatbots That Work Everywhere" may be useful for Data Scientists interested in developing data-driven voice and chatbot interfaces. Course topics on intents and intent handling can provide a foundation for understanding how to design interfaces that effectively process and respond to user inputs.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. "Creating Voice and Chatbots That Work Everywhere" may be useful for Machine Learning Engineers looking to incorporate voice and chatbot interfaces into their models. Course topics on advanced debugging techniques can be beneficial for troubleshooting and optimizing these interfaces.

See salaries and explore the career path for Machine Learning Engineer

Product Manager

Product Managers oversee the development and launch of new products. Taking "Creating Voice and Chatbots That Work Everywhere" may be beneficial for Product Managers seeking to incorporate voice and chatbot functionality into their products. Course topics on conversational flow design can provide insights into how to create user-friendly and engaging interfaces.

See salaries and explore the career path for Product Manager

UX Designer

UX Designers focus on enhancing the user experience of products and services. "Creating Voice and Chatbots That Work Everywhere" may be useful for UX Designers looking to improve the user experience of voice and chatbot interfaces. Course topics on making cross-channel support a breeze can provide insights into how to design interfaces that are consistent and easy to use across different platforms.

See salaries and explore the career path for UX Designer

Business Analyst

Business Analysts identify and analyze business needs to develop solutions. Completing "Creating Voice and Chatbots That Work Everywhere" may be helpful for Business Analysts looking to evaluate and implement voice and chatbot solutions. Course topics on what a conversational interface is can provide a solid understanding of the benefits and limitations of these technologies.

See salaries and explore the career path for Business Analyst

Technical Writer

Technical Writers create documentation for technical products and services. By taking "Creating Voice and Chatbots That Work Everywhere", you can gain valuable knowledge in designing user manuals and tutorials for voice and chatbot interfaces. Course topics on intents and intent handling can provide insights into how to effectively communicate the functionality and usage of these interfaces.

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Project Manager

Project Managers plan and execute projects to achieve specific goals. "Creating Voice and Chatbots That Work Everywhere" may be useful for Project Managers leading the development of voice and chatbot projects. Course topics on course overview can provide a comprehensive understanding of the process involved in creating these interfaces.

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Quality Assurance Analyst

Quality Assurance Analysts test and evaluate products and services to ensure they meet quality standards. Enrolling in "Creating Voice and Chatbots That Work Everywhere" may be beneficial for Quality Assurance Analysts seeking to specialize in testing voice and chatbot interfaces. Course topics on advanced debugging techniques can provide valuable skills for identifying and resolving issues in these interfaces.

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Speech Scientist

Speech Scientists study the science of speech and hearing. "Creating Voice and Chatbots That Work Everywhere" may be useful for Speech Scientists looking to gain practical experience in designing and developing voice interfaces. Course topics on talking to Alexa, Cortana, Google, Slack, Facebook, and Twilio can provide hands-on knowledge of popular voice platforms.

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Natural Language Processing Engineer

Natural Language Processing Engineers develop and maintain software that understands and generates human language. Completing "Creating Voice and Chatbots That Work Everywhere" may be beneficial for Natural Language Processing Engineers seeking to specialize in building voice and chatbot interfaces. Course topics on intents and intent handling can provide insights into how to design interfaces that effectively process and respond to user inputs.

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Computational Linguist

Computational Linguists study the computational aspects of language. Taking "Creating Voice and Chatbots That Work Everywhere" may be useful for Computational Linguists looking to apply their knowledge to the development of voice and chatbot interfaces. Course topics on what is a conversational interface can provide a solid understanding of the theoretical foundations of these technologies.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop artificial intelligence systems. Enrolling in "Creating Voice and Chatbots That Work Everywhere" may be beneficial for Artificial Intelligence Engineers seeking to incorporate voice and chatbot functionality into their systems. Course topics on what is a conversational interface can provide a foundational understanding of the principles behind these technologies.

See salaries and explore the career path for Artificial Intelligence Engineer

Interaction Designer

Interaction Designers create and evaluate user interfaces for products and services. "Creating Voice and Chatbots That Work Everywhere" may be useful for Interaction Designers looking to specialize in designing voice and chatbot interfaces. Course topics on conversational flow design can provide insights into how to design user-friendly and engaging interactions for these interfaces.

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Creating Voice and Chatbots That Work Everywhere

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