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Dayo Bamikole
Welcome to Building a Conversational AI Solution with Microsoft Azure. This course will teach you about the options available in Azure to take your raw content and leverage it to create conversational AI.
Read more
Welcome to Building a Conversational AI Solution with Microsoft Azure. This course will teach you about the options available in Azure to take your raw content and leverage it to create conversational AI.
Read more
Welcome to Building a Conversational AI Solution with Microsoft Azure. This course will teach you about the options available in Azure to take your raw content and leverage it to create conversational AI.
Information is readily available but what isn't always apparent is the amount of work you'll need to do to get the information. In this course, Build a Conversational AI Solution with Microsoft Azure, you’ll learn to take information from a raw format to a conversational AI tool via a bot. First, you’ll explore how to create a knowledge base with a tool called the QnA Maker. Next, you’ll discover how to improve on the knowledge base by working on its design and implementation. Finally, you’ll learn how to further enrich your conversational AI through Adaptive Cards. When you’re finished with this course, you’ll have the skills and knowledge to build a conversational AI solution in Microsoft Azure for effective display information.
Register for this course and see more details by visiting:
OpenCourser.com/course/iylqpu/build
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What's inside
Syllabus
Course Overview
Implement a Knowledge Base by Using QnA Maker
Design and Implement Conversation Flow
Design and Implement Adaptive Cards
Read more
Syllabus
Course Overview
Implement a Knowledge Base by Using QnA Maker
Design and Implement Conversation Flow
Design and Implement Adaptive Cards
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Exceptional introduction to building solutions in Azure for effective information sharing
Emphasizes practical application of QnA Maker for knowledge base creation
Focuses on design and implementation of conversational flow and Adaptive Cards
Leverages industry-standard tools and techniques for conversational AI development
Taught by experienced instructor Dayo Bamikole, known for expertise in conversational AI and Azure technologies
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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 Build a Conversational AI Solution with Microsoft Azure with these
activities:
Organize Course Materials and Resources for Future Reference
Show steps
Compile all course materials, such as lecture notes, assignments, and additional resources, into a well-organized system for easy access.
Show steps
-
Create a dedicated folder or notebook for course materials
-
File and label all lecture notes and assignments
-
Bookmark or save important online resources
Review Concepts of Natural Language Processing (NLP)
Show steps
Brush up on key NLP concepts to strengthen your foundation before diving into conversational AI.
Browse courses on
Natural Language Processing
Show steps
-
Revisit basic NLP techniques, such as tokenization and stemming
-
Review common NLP algorithms, such as Naive Bayes and Support Vector Machines
-
Explore recent advancements and applications of NLP
Review big data concepts
Show steps
Refresh your understanding of big data concepts to excel in this course
Browse courses on
Big Data
Show steps
-
Revisit key data analytics concepts, such as data mining, data warehousing, and data visualization
-
Review statistical and machine learning algorithms commonly used in big data
-
Explore case studies and examples of big data applications
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review Microsoft's Documentation on the Azure QnA Maker
Show steps
Familiarize yourself with the Azure QnA Maker basics before the course to ensure you have foundational knowledge.
Browse courses on
QnA Maker
Show steps
QnA Maker Knowledge Base Creation Practice
Show steps
Practice using the QnA Maker tool to build knowledge bases using exercises to develop stronger foundational skills
Browse courses on
QnA Maker
Show steps
-
Start with a clear knowledge base goal in mind
-
Gather high-quality data and prepare it
-
Create your knowledge base in QnA Maker
-
Publish your knowledge base
-
Test and iterate to improve the knowledge base
Build a Simple Bot with Azure's QnA Maker
Show steps
Follow a guided tutorial to implement a simple bot using the QnA Maker to enhance your understanding of the process.
Browse courses on
QnA Maker
Show steps
-
Create a QnA Maker knowledge base
-
Design a conversation flow
-
Deploy the bot and test its functionality
Practice Designing Conversation Flows for Conversational AI
Show steps
Engage in exercises to design conversation flows, improving your ability to create effective and engaging conversational experiences.
Browse courses on
Conversational AI
Show steps
-
Identify different conversation scenarios
-
Map out the flow of conversations
-
Consider user interactions and responses
-
Test and refine the conversation flows
Develop a Conversational AI Prototype for a Specific Use Case
Show steps
Design and develop a prototype of a conversational AI system addressing a real-world use case to solidify your understanding and demonstrate your skills.
Browse courses on
Conversational AI
Show steps
-
Define the use case and target audience
-
Design the conversation flow and user interface
-
Develop the conversational AI system
-
Test and refine the prototype
Participate in a Conversational AI Hackathon
Show steps
Challenge yourself by participating in a hackathon centered around conversational AI, fostering innovation and collaboration.
Browse courses on
Conversational AI
Show steps
-
Identify a hackathon with a conversational AI focus
-
Form a team or work independently
-
Develop a conversational AI solution within the hackathon time frame
-
Present your solution and compete against other participants
Organize Course Materials and Resources for Future Reference
Show steps
Compile all course materials, such as lecture notes, assignments, and additional resources, into a well-organized system for easy access.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials
- File and label all lecture notes and assignments
- Bookmark or save important online resources
Review Concepts of Natural Language Processing (NLP)
Show steps
Brush up on key NLP concepts to strengthen your foundation before diving into conversational AI.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Revisit basic NLP techniques, such as tokenization and stemming
- Review common NLP algorithms, such as Naive Bayes and Support Vector Machines
- Explore recent advancements and applications of NLP
Review big data concepts
Show steps
Refresh your understanding of big data concepts to excel in this course
Browse courses on
Big Data
Show steps
Show steps
Show steps
- Revisit key data analytics concepts, such as data mining, data warehousing, and data visualization
- Review statistical and machine learning algorithms commonly used in big data
- Explore case studies and examples of big data applications
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review Microsoft's Documentation on the Azure QnA Maker
Show steps
Familiarize yourself with the Azure QnA Maker basics before the course to ensure you have foundational knowledge.
Browse courses on
QnA Maker
Show steps
Show steps
Show steps
QnA Maker Knowledge Base Creation Practice
Show steps
Practice using the QnA Maker tool to build knowledge bases using exercises to develop stronger foundational skills
Browse courses on
QnA Maker
Show steps
Show steps
Show steps
- Start with a clear knowledge base goal in mind
- Gather high-quality data and prepare it
- Create your knowledge base in QnA Maker
- Publish your knowledge base
- Test and iterate to improve the knowledge base
Build a Simple Bot with Azure's QnA Maker
Show steps
Follow a guided tutorial to implement a simple bot using the QnA Maker to enhance your understanding of the process.
Browse courses on
QnA Maker
Show steps
Show steps
Show steps
- Create a QnA Maker knowledge base
- Design a conversation flow
- Deploy the bot and test its functionality
Practice Designing Conversation Flows for Conversational AI
Show steps
Engage in exercises to design conversation flows, improving your ability to create effective and engaging conversational experiences.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify different conversation scenarios
- Map out the flow of conversations
- Consider user interactions and responses
- Test and refine the conversation flows
Develop a Conversational AI Prototype for a Specific Use Case
Show steps
Design and develop a prototype of a conversational AI system addressing a real-world use case to solidify your understanding and demonstrate your skills.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Define the use case and target audience
- Design the conversation flow and user interface
- Develop the conversational AI system
- Test and refine the prototype
Participate in a Conversational AI Hackathon
Show steps
Challenge yourself by participating in a hackathon centered around conversational AI, fostering innovation and collaboration.
Browse courses on
Conversational AI
Show steps
Show steps
Show steps
- Identify a hackathon with a conversational AI focus
- Form a team or work independently
- Develop a conversational AI solution within the hackathon time frame
- Present your solution and compete against other participants
Career center
Learners who complete Build a Conversational AI Solution with Microsoft Azure will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineers build, deploy, and manage AI systems that solve real-world problems. The coursework in this course will help you develop the skills you need to design and implement conversational AI solutions, a valuable subfield within AI Engineering. Conversational AI solutions are becoming more and more in demand for applications such as customer service, marketing, and e-commerce. With the skills you will learn in this course, you may be well-positioned to make a valuable contribution in this important and growing field.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use a variety of techniques, including AI and machine learning, to identify trends and patterns in data. The coursework in this course will help you develop the skills you need to build conversational AI solutions that can help businesses gain valuable insights from their data.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop technologies that enable computers to understand and generate human language. Conversational AI solutions are a major application of NLP, and this course will help you develop the skills you need to build NLP-powered conversational AI solutions. The coursework in this course will help you develop the skills you need to build conversational AI solutions that can help businesses automate tasks, improve decision-making, and gain valuable insights from their data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models to solve real-world problems. Conversational AI solutions are often powered by machine learning models, making this course a valuable resource for those looking to pursue a career as a Machine Learning Engineer specializing in conversational AI. The skills you will learn in this course will help you develop the skills you need to build and deploy conversational AI solutions that can help businesses automate tasks, improve decision-making, and gain valuable insights from their data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of businesses and users. The coursework in this course will help you develop the skills you need to build conversational AI solutions, a rapidly growing subfield of Software Engineering. Conversational AI solutions are becoming increasingly important for businesses looking to improve customer service, marketing, and e-commerce.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. The coursework in this course will help you develop the skills you need to build conversational AI solutions that meet the needs of users and businesses.
User Experience Designer
User Experience Designer
User Experience Designers ensure that products are easy to use and enjoyable to interact with. They work with engineers and designers to create products that meet the needs of users. The coursework in this course will help you develop the skills you need to build conversational AI solutions that are easy to use and enjoyable to interact with.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other products. They work with engineers and designers to create documentation that is clear and easy to understand. The coursework in this course will help you develop the skills you need to document conversational AI solutions, a rapidly growing field.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. They work with stakeholders to understand their needs and develop solutions that meet those needs. The coursework in this course will help you develop the skills you need to build conversational AI solutions that can help businesses improve their operations and achieve their goals.
Customer Success Manager
Customer Success Manager
Customer Success Managers help businesses ensure that their customers are successful with their products. They work with customers to identify and solve problems, and they also provide training and support. The coursework in this course will help you develop the skills you need to build conversational AI solutions that can help businesses improve their customer success rates.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software and other products to ensure that they meet quality standards. They work with engineers and designers to identify and fix defects. The coursework in this course will help you develop the skills you need to test conversational AI solutions.
Project Manager
Project Manager
Project Managers plan and execute projects. They work with teams to ensure that projects are completed on time, within budget, and according to specifications. The coursework in this course will help you develop the skills you need to manage conversational AI projects.
IT Consultant
IT Consultant
IT Consultants help businesses improve their IT systems and processes. They work with clients to identify and solve problems, and they also provide advice on new technologies and trends. The coursework in this course will help you develop the skills you need to build conversational AI solutions that can help businesses improve their IT operations.
Data Scientist
Data Scientist
Data Scientists use data to solve problems. They work with data to identify trends and patterns, and they also develop models to predict future outcomes. The coursework in this course will help you develop the skills you need to build conversational AI solutions that can help businesses make better decisions.
Information Architect
Information Architect
Information Architects design and organize information systems. They work with stakeholders to understand their needs and develop systems that meet those needs. The coursework in this course will help you develop the skills you need to design conversational AI solutions that are easy to find and use.
For more career information including salaries, visit:
OpenCourser.com/course/iylqpu/build
Reading list
We've selected eight 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
Build a Conversational AI Solution with Microsoft Azure.
Provides a comprehensive overview of speech and language processing, covering topics such as speech recognition, natural language understanding, and language generation. It valuable resource for understanding the fundamental concepts of conversational AI.
Provides a comprehensive introduction to natural language processing (NLP), covering the fundamental concepts and algorithms used in the field. It valuable resource for understanding the NLP techniques used in conversational AI.
Save
Provides a comprehensive overview of conversational AI design. It covers topics such as conversation modeling, dialogue management, and evaluation techniques, making it a valuable resource for understanding the principles and best practices of conversational AI design.
Provides a practical guide to building natural language processing applications. It covers topics such as text preprocessing, feature engineering, and model evaluation, making it a valuable resource for developing effective conversational AI solutions.
Provides a comprehensive overview of deep learning techniques used in natural language processing. It covers topics such as recurrent neural networks, transformers, and attention mechanisms, making it a valuable resource for understanding the latest advancements in conversational AI.
Provides a comprehensive introduction to speech recognition. It covers the latest techniques and models, and it is written by leading researchers in the field.
Save
Provides a comprehensive introduction to text mining with R. It covers the latest techniques and models, and it is written by leading researchers in the field.
Provides a comprehensive introduction to the Natural Language Toolkit (NLTK). It covers the latest techniques and models, and it is written by leading researchers in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/iylqpu/build
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Time
34 hours
Level
Advanced
Via
Pluralsight
Instructor
Dayo Bamikole
Language
English
Good to know
Exceptional introduction to building solutions in Azure for effective information sharing
Emphasizes practical application of QnA Maker for knowledge base creation
Focuses on design and implementation of conversational flow and Adaptive Cards
Leverages industry-standard tools and techniques for conversational AI development
Taught by experienced instructor Dayo Bamikole, known for expertise in conversational AI and Azure technologies
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