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URL: https://www.coursera.org/learn/packt-introduction-to-chatbots-build-your-first-ai-assistant-vjrbf

⇱ Introduction to Chatbots - Build Your First AI Assistant | Coursera

Introduction to Chatbots - Build Your First AI Assistant

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Introduction to Chatbots - Build Your First AI Assistant

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn how to design and build your own AI-powered chatbots from scratch.

  • Gain practical experience in deploying chatbots to cloud platforms like Streamlit.

  • Develop advanced chatbot applications including file Q&A bots and image generation bots.

  • Understand the architecture, workflow, and machine learning integration for chatbots.

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Recently updated!

March 2026

Assessments

7 assignments

Taught in English

There are 7 modules in this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you'll embark on a comprehensive journey to build your very first AI-powered chatbot. The course will guide you through every step, from understanding the different types of chatbots to deploying your own creation. By leveraging practical demonstrations and expert-led instructions, you'll gain hands-on experience in creating chatbots using popular tools like Streamlit and Gemini, alongside machine learning techniques. The course structure is designed to take you from basic concepts to advanced applications, providing an in-depth exploration of chatbot architecture, workflows, and how to interact with different data formats such as CSV files and documents. Throughout the journey, you will work on real-world projects, including building single-page and multi-page chatbot applications, and even creating bots capable of generating images and answering file-based queries. This course is perfect for beginners looking to dive into AI and chatbot development. No prior experience in AI or machine learning is required, but basic programming knowledge will help you understand the concepts better. The course is ideal for aspiring developers, business professionals, or anyone interested in creating conversational AI systems. By the end of the course, you will be able to understand the architecture of a chatbot, develop various chatbot applications, integrate machine learning models into your bots, and deploy them to the cloud. You will also have the skills to customize bots for different industries and purposes, making you proficient in chatbot development.

In this module, we will introduce the course, outlining its structure and what you will learn as you build your first AI chatbot. We’ll highlight the essential tools and skills required for success. By the end of this section, you'll understand the foundational knowledge and goals of this journey

What's included

1 video1 reading

1 video•Total 2 minutes
  • Course Introduction•2 minutes
1 reading•Total 10 minutes
  • Full Course Resources •10 minutes

In this module, we will explore what chatbots are and the different types that exist, along with their practical applications. You'll learn how chatbots enhance business efficiency and improve customer interactions. This section will give you insights into the growing impact of AI assistants in the digital landscape.

What's included

2 videos1 assignment

2 videos•Total 6 minutes
  • What Is a Chatbot? What Are the Different Types of Chatbots?•4 minutes
  • Use Cases•2 minutes
1 assignment•Total 15 minutes
  • Introduction to Chatbots - Assessment•15 minutes

In this module, we will guide you through the necessary prerequisites for building your chatbot, including essential software and tools. You’ll set up your development environment step-by-step and become familiar with Streamlit’s documentation for future reference. This foundation ensures you’re ready to start developing effectively.

What's included

4 videos1 assignment

4 videos•Total 20 minutes
  • Prerequisites•2 minutes
  • Streamlit Basics + Documentation•6 minutes
  • Demonstration - Environment Setup•5 minutes
  • Demonstration - Sample Hello Application•8 minutes
1 assignment•Total 15 minutes
  • Prerequisites and Tools Setup - Assessment•15 minutes

In this module, we will dive into the core components of a chatbot architecture. You’ll learn how chatbots handle user inputs, process data, and generate responses. This section provides a deeper understanding of the inner workings of chatbot systems to ensure you can design efficient solutions.

What's included

2 videos1 assignment

2 videos•Total 7 minutes
  • Chatbot Architecture•2 minutes
  • Chatbot Workflow•5 minutes
1 assignment•Total 15 minutes
  • Understanding Chatbot Architecture - Assessment•15 minutes

In this module, we will walk you through a series of hands-on demonstrations where you’ll begin building your chatbot. From a simple single-page app to more advanced functionalities like file Q&A bots and image generation, we’ll cover practical implementations using Gemini and Streamlit. By the end of this section, you’ll be able to create interactive chatbot applications from scratch.

What's included

7 videos1 assignment

7 videos•Total 73 minutes
  • Demonstration - Single Page Chatbot Application with Gemini (Part 1)•12 minutes
  • Demonstration - Single Page Chatbot Application with Gemini (Part 2)•8 minutes
  • Demonstration - Multipage Application Using Streamlit•8 minutes
  • Demonstration - File Q&A Bot•10 minutes
  • Demonstration - CSV Bot•7 minutes
  • Demonstration - Image Generation Bot•14 minutes
  • Demonstration - Integrating Local Model with Ollama•14 minutes
1 assignment•Total 15 minutes
  • Hands-on Demonstration - Build Your Chatbot - Assessment•15 minutes

In this module, we will show you how to deploy your chatbot on the Streamlit Cloud. You'll gain hands-on experience with the deployment process, from setting it up for public access to addressing common challenges. By the end of this section, your chatbot will be live and accessible to users online.

What's included

1 video1 assignment

1 video•Total 12 minutes
  • Demonstration - Deploying Your Chatbot on Streamlit Cloud•12 minutes
1 assignment•Total 15 minutes
  • Deploying the Chatbot Application - Assessment•15 minutes

In this module, we will review everything you've learned throughout the course and reflect on the key concepts and techniques for building chatbots. We’ll also provide guidance on the next steps you can take to continue developing your skills and applying them to real-world projects. You’ll leave with a clear path for advancing your chatbot expertise.

What's included

1 video2 assignments

1 video•Total 1 minute
  • Conclusion•1 minute
2 assignments•Total 75 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

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Frequently asked questions

Chatbot development is the process of designing, building, and deploying chatbots—AI-driven applications that can simulate conversation with users. Chatbots are relevant today because they enhance customer experiences, automate tasks, and save time for businesses across various industries. With advancements in artificial intelligence, chatbots have become more capable of handling complex interactions, making them an invaluable tool for improving efficiency and customer engagement.

This course is an introduction to chatbot development, guiding you through the process of building your first AI assistant. It covers key concepts such as chatbot architecture, different types of chatbots, their use cases, and practical examples of how to create chatbots using Python and Streamlit. The course provides a hands-on approach, helping you build various chatbot applications, including a single-page chatbot, file Q&A bot, CSV bot, and even an image generation bot.

By the end of the course, you'll have the skills to build and deploy your own chatbot applications. You'll understand chatbot architecture, workflows, and various chatbot models, and you will be capable of creating bots that can interact with files, CSV data, and generate images. You will also gain experience using Streamlit to deploy your chatbot on the cloud for public access, making your chatbot available to a broader audience.

To enroll in this course, it is recommended that you have a basic understanding of Python programming and general computer science concepts. Familiarity with web development concepts will be helpful, but is not strictly required. The course assumes no prior knowledge of chatbot development, making it suitable for beginners interested in learning how to create AI-driven applications.

This course is ideal for anyone interested in building AI chatbots, whether you are a beginner or have some programming experience. It is particularly suitable for developers, data scientists, and AI enthusiasts who want to explore chatbot development, enhance customer experiences, and automate interactions. It also benefits individuals seeking practical knowledge in using Streamlit for building interactive applications.

The course is approximately 2 hours of video content, designed for a quick, focused learning experience. Depending on your pace, you can complete it in a single sitting or break it down into manageable sections.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,