Chatbots from Coursera

What's inside

Syllabus

Course Introduction

This course explores the practical applications of machine learning through hands-on modules covering data pre-processing, feature extraction, model evaluation, and supervised learning techniques. It delves into specialized topics such as computer vision and learning to implement and assess various machine learning models. This course combines theoretical insights with practical lab activities to equip you with essential skills in applied machine learning.

Introduction to Chatbots

In this module, you will delve into the fascinating world of chatbots, covering their historical development and evolution. You will understand the basic mechanics behind how chatbots work and explore fundamental design principles essential for enhancing their performance. You will gain practical insights into building and optimizing chatbots using Amazon Lex, a leading platform for developing conversational interfaces. By the end of this module, you will have a comprehensive understanding of chatbot technology and its application across various industries.

Building a Classifier

In this module, you will focus on constructing and evaluating machine learning (ML) classifiers using crowdsourced data. You will learn how to leverage BERT (Bidirectional Encoder Representations from Transformers) in R and TensorFlow for text classification tasks. You will also gain hands-on experience in building ML models that classify text data effectively. You will learn to calculate and interpret ML performance metrics to assess classifier accuracy and reliability. By the end of this module, you will be equipped with practical skills to develop robust classifiers capable of handling diverse datasets.

Create Your Own Chatbot

This module will guide you through the process of building your own chatbot using AWS (Amazon Web Services). You will begin with an introductory conceptual video outlining chatbot creation concepts. You will dive deep into practical implementation with AWS Chatbot, learning step-by-step how to set up and configure your chatbot. You will also explore strategies to make your chatbot operational and effective. You will collaborate with classmates to exchange ideas and troubleshoot challenges, fostering a supportive learning environment. By the end of this module, you will have the skills and confidence to develop functional chatbots tailored to various applications.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on experience with Amazon Lex and AWS, which are widely used platforms in the chatbot development industry

Explores the evolution of chatbot technology, which helps learners understand the current landscape and future trends in the field

Teaches how to evaluate chatbot performance using machine learning classifiers, which is essential for optimizing chatbot effectiveness

Involves collaboration with peers to tackle challenges, which enhances problem-solving skills and fosters a supportive learning environment

Requires learners to use AWS, which may require setting up an account and incurring costs depending on usage

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 Chatbots with these activities:

Review Basic Machine Learning Concepts

Show steps

Reinforce your understanding of machine learning fundamentals, which are essential for building and evaluating chatbot classifiers.

Browse courses on Machine Learning

Show steps

Review key concepts like supervised learning, classification, and model evaluation.
Practice with simple classification problems using online resources.

Review 'Designing Voice User Interfaces'

Show steps

Learn the principles of conversational design to create more effective and user-friendly chatbots.

View Designing Voice User Interfaces: Principles of... on Amazon

Show steps

Read the book, focusing on chapters related to conversational flow and error handling.
Take notes on key concepts and examples.
Reflect on how these principles can be applied to your chatbot projects.

Practice with Amazon Lex Tutorials

Show steps

Gain hands-on experience with Amazon Lex to solidify your understanding of chatbot development.

Browse courses on Amazon Lex

Show steps

Complete several introductory tutorials on the Amazon Lex documentation.
Experiment with different chatbot designs and functionalities.
Troubleshoot common issues and errors.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Chatbot Design Document

Show steps

Plan and document the design of a chatbot to reinforce your understanding of chatbot architecture and functionality.

Show steps

Define the purpose and target audience of your chatbot.
Outline the conversational flow and key interactions.
Specify the technologies and platforms you will use.
Document the expected performance and evaluation metrics.

Review 'Natural Language Processing with Python'

Show steps

Deepen your understanding of NLP techniques used in chatbot development.

View Natural Language Processing with Python:... on Amazon

Show steps

Read relevant chapters on text processing and analysis.
Experiment with NLTK to implement basic NLP tasks.
Consider how these techniques can be applied to improve chatbot performance.

Expand Your Chatbot with Sentiment Analysis

Show steps

Enhance your chatbot by integrating sentiment analysis to provide more personalized and context-aware responses.

Browse courses on Sentiment Analysis

Show steps

Research sentiment analysis techniques and tools.
Implement sentiment analysis in your chatbot using a library or API.
Test and evaluate the performance of your sentiment analysis integration.
Refine your chatbot's responses based on sentiment analysis results.

Present Your Chatbot Project

Show steps

Share your chatbot project with others to receive feedback and demonstrate your skills.

Browse courses on Chatbot

Show steps

Prepare a presentation showcasing your chatbot's features and functionality.
Practice your presentation to ensure a smooth delivery.
Present your chatbot to classmates or colleagues.
Gather feedback and identify areas for improvement.

Career center

Learners who complete Chatbots will develop knowledge and skills that may be useful to these careers:

Chatbot Developer

A Chatbot Developer is responsible for designing, building, and maintaining conversational AI applications. This course in chatbots directly aligns with the core responsibilities of a chatbot developer. The hands-on experience with Amazon Lex and AWS, along with the focus on evaluating performance using machine learning classifiers, is crucial for success in this role. This course provides valuable training to build functional chatbots. The work involves creating and optimizing chatbots for customer service, personal assistants, and other applications, and this course prepares learners for the challenges of this process.

See salaries and explore the career path for Chatbot Developer

Conversational AI Engineer

A Conversational AI Engineer specializes in the creation of intelligent interfaces that enable natural interactions between humans and machines. This course in chatbots provides the foundational and practical skills necessary for this role. The course's focus on chatbot technology, from its evolution to its practical implementation using Amazon Lex and AWS, is directly applicable. The course's emphasis on evaluating performance using machine learning classifiers is also crucial given the demands of this engineering role. The work includes designing, developing, and optimizing conversational interfaces, and this course gives the necessary training.

See salaries and explore the career path for Conversational AI Engineer

AI Solutions Architect

An AI Solutions Architect designs and implements AI driven solutions, often involving conversational interfaces. This course may be useful because it provides experience in chatbot development using Amazon Lex and AWS. The course also covers how to evaluate chatbot performance using machine learning classifiers. The course's focus on practical application and hands-on projects, makes this course a good addition to this role. The work includes creating functional chatbots tailored to various applications, which this course helps to prepare a learner for.

See salaries and explore the career path for AI Solutions Architect

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models, including those used in chatbots. This course may be useful in offering a practical understanding of how machine learning is applied. The course's module on building a classifier is particularly relevant because it covers text classification using BERT in R and TensorFlow. This offers practical experience in building and evaluating machine learning models. The work often includes building and deploying machine learning models, and the course offers insights that may be helpful in this role.

See salaries and explore the career path for Machine Learning Engineer

Natural Language Processing Engineer

A Natural Language Processing Engineer develops systems that enable computers to understand and process human language. This course may be useful in providing direct experience with the practical application of NLP techniques. The course's emphasis on chatbot design and the use of machine learning classifiers to evaluate their performance, along with the use of BERT for text classification, is relevant. The work of an NLP engineer includes building systems that process human language, and this course helps to build some of the skills to do so.

See salaries and explore the career path for Natural Language Processing Engineer

Software Developer

A Software Developer writes code for various applications, including conversational AI systems. This course may be helpful as it gives practical experience in building chatbots, which is a valuable skill for a software developer. The hands-on projects using Amazon Lex and AWS, plus the evaluation of chatbot performance using machine learning classifiers, develop abilities that make for a more versatile software developer. The work often includes the deployment of software, and this course gives experience in that area.

See salaries and explore the career path for Software Developer

Technology Consultant

A Technology Consultant advises clients on technology solutions, including those involving AI. This course is useful as it provides insights into chatbot technology and its real-world applications. The opportunity to learn about the design, development, and optimization of chatbots using Amazon Lex and AWS will inform any advice given by a technology consultant. The course's practical approach to building and evaluating chatbots is helpful in this role. This course may help improve how one advises others on the creation of technology.

See salaries and explore the career path for Technology Consultant

Data Scientist

A Data Scientist analyzes data to extract insights and build predictive models. This course may be helpful because it provides exposure to machine learning classifiers. The course's focus on building and evaluating classifiers using BERT in R and TensorFlow, may be useful to those in this role. The understanding gained from working with machine learning models can be leveraged in the work of a data scientist. The work involves building models, and this course will support learning how to do that.

See salaries and explore the career path for Data Scientist

Technical Project Manager

A Technical Project Manager oversees technology projects, including those involving AI applications. This course may support better management of projects involving chatbots. Understanding the technical aspects of chatbot design, development, and evaluation as gained through this course is helpful in this role. The course's practical approach and hands-on experience using Amazon Lex and AWS may lead to better management of projects in this domain. This course can allow for more effective technical project management.

See salaries and explore the career path for Technical Project Manager

Customer Service Manager

A Customer Service Manager oversees the customer service operations, including the implementation of chatbot technology to enhance efficiency. As chatbots are increasingly important in improving customer service, this course may be useful. The skills to develop functional chatbots are directly applicable to this role. This course offers practical experience in the design, development, and deployment of chatbot technology that would support customer service operations. The work often involves implementing and managing technologies that improve customer interactions.

See salaries and explore the career path for Customer Service Manager

Digital Transformation Specialist

A Digital Transformation Specialist helps organizations adopt new technologies to improve processes and customer engagement. This course may be useful as it provides practical skills in building chatbot technology. The course's focus on using Amazon Lex and AWS to build chatbots, along with the focus on evaluating performance using machine learning classifiers, is directly applicable. The work involves integrating new technologies, and this course can help a digital transformation specialist do this.

See salaries and explore the career path for Digital Transformation Specialist

Business Analyst

A Business Analyst analyzes business processes and identifies areas for improvement, including the implementation of technology solutions. This course may help a business analyst understand the capabilities of chatbot technology, and how it can optimize customer service operations. The course provides a useful understanding of chatbot functionality. It may indirectly help business analysts suggest solutions using chatbots. The work often involves creating business requirements for technology implementations, and this may help them better understand such a component.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager oversees the development and launch of new products, including those involving conversational AI. This course may be useful for understanding the technical aspects of chatbot technology. The course's practical approach to building and evaluating chatbots using Amazon Lex and AWS provides real-world insights applicable to this role. The work may involve collaborating with engineers to build new products and this course helps to understand how one such product is developed.

See salaries and explore the career path for Product Manager

Technical Writer

A Technical Writer creates documentation for technical products, including AI applications. This course may be helpful as it provides insight into chatbot functionality. The course offers hands-on experience with chatbot design, development, and evaluation, which may help a technical writer better understand how to write about this technology. Specifically, the use of Amazon Lex and AWS may provide useful knowledge. The work revolves around explaining technical topics and this course might indirectly provide a better basis for doing this work.

See salaries and explore the career path for Technical Writer

Marketing Specialist

A Marketing Specialist plans and executes marketing campaigns, which may involve the use of chatbots to engage customers. This course may be helpful as it provides an understanding of chatbot functionality. Gaining hands-on experience with the design, development, and optimization of chatbots may help those whose work includes marketing. In particular, understanding how chatbots are used may allow for more successful marketing campaigns. The work includes communicating information about products and services and this may be facilitated through this course.

See salaries and explore the career path for Marketing Specialist

Chatbots

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses