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Valerie Scarlata
Learn how to build powerful conversational AI and NLP solutions on Azure with Udacity's online NLP & Conversational AI Training Course. Enroll now to learn more
Register for this course and see more details by visiting:
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What's inside
Syllabus
Welcome to Building NLP and Conversational AI Solutions with Azure. In this lesson you'll learn more about the course, prerequisites, tools, and environment.
Read more
Syllabus
Welcome to Building NLP and Conversational AI Solutions with Azure. In this lesson you'll learn more about the course, prerequisites, tools, and environment.
Read more
In this lesson, you'll learn how to create requirements for NLP and conversational AI solutions and responsible AI principles involved in building these solutions
In this lesson, you'll learn about the Microsoft Bot Framework and create bot applications
In this lesson, you'll learn about two Azure NLP Cognitive Services, QnA Maker and LUIS, and integrate them into bot applications to recognize user intent.
This lesson is about Azure Cognitive Text Analytics and Speech Services. You'll learn how to analyze incoming text in a bot application and speech-enable a bot application with bot channels
Create a static web app for a dentist’s office with a web app bot service that answers customers’ questions and can schedule appointments.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners learning NLP
Taught by Valerie Scarlata, an industry expert in NLP
Utilizes the Microsoft Bot Framework, a widely used industry tool
Covers Azure Cognitive Services such as QnA Maker and LUIS, which are relevant technologies in the NLP
Includes hands-on labs and interactive materials to aid comprehension and retention
This course may require students to have some prior programming and NLP experience to get the most out of it
Save this course
Save Building NLP and Conversational AI Solutions with Azure to your list so you can find it easily later:
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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 Building NLP and Conversational AI Solutions with Azure with these
activities:
Review lecture notes and reference materials
Show steps
Revisiting lecture notes and reference materials refreshes your memory and ensures a solid foundation before starting the course.
Show steps
-
Review lecture notes from previous courses related to NLP and conversational AI
-
Skim through textbooks or online resources to refresh your knowledge on key concepts
Brush up on Python and C#
Show steps
These programming languages are used extensively in this course, so refreshing your skills will enhance your ability to follow along and complete assignments.
Browse courses on
Python
Show steps
-
Review basic syntax and data structures in Python and C#
-
Solve simple coding challenges or complete tutorials to practice
Review 'Neural Networks and Deep Learning'
Show steps
Provides a comprehensive overview of neural networks and deep learning, setting a foundation for understanding the material covered in this course.
View
Melania
on Amazon
Show steps
-
Read Chapters 1-3 of 'Neural Networks and Deep Learning'
-
Summarize the key concepts covered in each chapter
-
Complete the practice exercises at the end of each chapter
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Natural Language Processing with Python'
Show steps
Provides a comprehensive introduction to NLP concepts and techniques, complementing the material covered in this course.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read Chapters 1-4 of 'Natural Language Processing with Python'
-
Complete the practice exercises and examples provided in the book
-
Implement some of the NLP techniques covered in the book
Follow tutorials on Azure Cognitive Services
Show steps
Familiarization with Azure Cognitive Services is essential for building NLP applications. Tutorials provide a structured approach to learning and applying these services.
Browse courses on
Azure Cognitive Services
Show steps
-
Identify relevant tutorials from the Azure Cognitive Services documentation
-
Follow the tutorials and implement the examples provided
-
Experiment with different parameters and scenarios to gain a deeper understanding
Practice NLP tasks on Kaggle
Show steps
Kaggle provides a platform for solving real-world NLP problems. Completing these tasks challenges your understanding and provides practical experience.
Browse courses on
Kaggle
Show steps
-
Select relevant NLP datasets and competitions from Kaggle
-
Develop and implement NLP models to solve the tasks
-
Compare your results with others and learn from their approaches
Build a simple chatbot using Microsoft Bot Framework
Show steps
Creating a chatbot requires applying the concepts and techniques covered in this course, reinforcing your understanding and providing hands-on experience.
Browse courses on
Chatbot
Show steps
-
Design the chatbot's functionality and user interface
-
Implement the chatbot using Microsoft Bot Framework
-
Test and refine the chatbot's performance
Review lecture notes and reference materials
Show steps
Revisiting lecture notes and reference materials refreshes your memory and ensures a solid foundation before starting the course.
Show steps
Show steps
Show steps
- Review lecture notes from previous courses related to NLP and conversational AI
- Skim through textbooks or online resources to refresh your knowledge on key concepts
Brush up on Python and C#
Show steps
These programming languages are used extensively in this course, so refreshing your skills will enhance your ability to follow along and complete assignments.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review basic syntax and data structures in Python and C#
- Solve simple coding challenges or complete tutorials to practice
Review 'Neural Networks and Deep Learning'
Show steps
Provides a comprehensive overview of neural networks and deep learning, setting a foundation for understanding the material covered in this course.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-3 of 'Neural Networks and Deep Learning'
- Summarize the key concepts covered in each chapter
- Complete the practice exercises at the end of each chapter
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Natural Language Processing with Python'
Show steps
Provides a comprehensive introduction to NLP concepts and techniques, complementing the material covered in this course.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-4 of 'Natural Language Processing with Python'
- Complete the practice exercises and examples provided in the book
- Implement some of the NLP techniques covered in the book
Follow tutorials on Azure Cognitive Services
Show steps
Familiarization with Azure Cognitive Services is essential for building NLP applications. Tutorials provide a structured approach to learning and applying these services.
Browse courses on
Azure Cognitive Services
Show steps
Show steps
Show steps
- Identify relevant tutorials from the Azure Cognitive Services documentation
- Follow the tutorials and implement the examples provided
- Experiment with different parameters and scenarios to gain a deeper understanding
Practice NLP tasks on Kaggle
Show steps
Kaggle provides a platform for solving real-world NLP problems. Completing these tasks challenges your understanding and provides practical experience.
Browse courses on
Kaggle
Show steps
Show steps
Show steps
- Select relevant NLP datasets and competitions from Kaggle
- Develop and implement NLP models to solve the tasks
- Compare your results with others and learn from their approaches
Build a simple chatbot using Microsoft Bot Framework
Show steps
Creating a chatbot requires applying the concepts and techniques covered in this course, reinforcing your understanding and providing hands-on experience.
Browse courses on
Chatbot
Show steps
Show steps
Show steps
- Design the chatbot's functionality and user interface
- Implement the chatbot using Microsoft Bot Framework
- Test and refine the chatbot's performance
Career center
Learners who complete Building NLP and Conversational AI Solutions with Azure will develop knowledge and skills
that may be useful to these careers:
NLP Engineer
NLP Engineer
A NLP Engineer specializes in the field of natural language processing (NLP), working with computers to understand and generate human language. This course is especially relevant because it provides an introduction to NLP with a focus on developing conversational AI solutions.
Data Scientist
Data Scientist
A Data Scientist works with data, leveraging expertise in math, statistics, and programming to uncover patterns and trends hidden within raw information. This course is especially relevant because it provides the skills to build NLP and conversational AI solutions which can help companies make better decisions.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer applies the principles of machine learning to build AI models that can learn from data and make predictions. This course is especially relevant because it provides the skills to build NLP and conversational AI solutions.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course is especially relevant because it provides the skills to build NLP and conversational AI solutions.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and maintains AI systems. This course may be useful for aspiring AI Engineers as it provides an introduction to NLP and conversational AI, which are key components of many AI systems.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help organizations make informed decisions. This course may be useful for aspiring Data Analysts as it provides an introduction to NLP, which can be used to analyze unstructured text data.
Product Manager
Product Manager
A Product Manager is responsible for the development and marketing of a product. This course may be useful for aspiring Product Managers as it provides an introduction to NLP and conversational AI, which can be used to create innovative products.
UX Designer
UX Designer
A UX Designer designs user interfaces for websites and apps. This course may be useful for aspiring UX Designers as it provides an introduction to NLP and conversational AI, which can be used to create user interfaces that are more intuitive and user-friendly.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for the development and implementation of marketing campaigns. This course may be useful for aspiring Marketing Managers as it provides an introduction to NLP and conversational AI, which can be used to create more effective marketing campaigns.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and identifies areas for improvement. This course may be useful for aspiring Business Analysts as it provides an introduction to NLP and conversational AI, which can be used to automate tasks and improve efficiency.
Consultant
Consultant
A Consultant provides advice and guidance to clients on a variety of topics. This course may be useful for aspiring Consultants as it provides an introduction to NLP and conversational AI, which can be used to improve client interactions and provide more valuable advice.
Sales Manager
Sales Manager
A Sales Manager is responsible for the management of a sales team and the achievement of sales goals. This course may be useful for aspiring Sales Managers as it provides an introduction to NLP and conversational AI, which can be used to improve sales processes and close more deals.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with a company's products or services. This course may be useful for aspiring Customer Success Managers as it provides an introduction to NLP and conversational AI, which can be used to improve customer interactions.
Teacher
Teacher
A Teacher educates students in a variety of subjects. This course may be useful for aspiring Teachers as it provides an introduction to NLP and conversational AI, which can be used to create more engaging and effective lesson plans.
Entrepreneur
Entrepreneur
An Entrepreneur starts and runs their own business. This course may be useful for aspiring Entrepreneurs as it provides an introduction to NLP and conversational AI, which can be used to create innovative products and services.
For more career information including salaries, visit:
OpenCourser.com/course/t6i1h0/building
Reading list
We've selected 11 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
Building NLP and Conversational AI Solutions with Azure.
Provides a comprehensive introduction to natural language processing, covering topics such as tokenization, stemming, lemmatization, parsing, and machine learning. It great resource for learners who want to gain a solid foundation in NLP.
Covers advanced topics in NLP, such as deep learning models for NLP, attention mechanisms, and transformer networks. It valuable resource for learners who want to gain a deeper understanding of the latest NLP techniques.
This comprehensive textbook covers a wide range of topics in speech and language processing, including acoustic modeling, language modeling, and speech recognition. It valuable resource for learners who want to gain a deep understanding of the field.
This classic textbook provides a comprehensive overview of NLP, covering topics such as language modeling, machine translation, and information retrieval. It valuable resource for learners who want to gain a solid foundation in NLP.
This comprehensive textbook covers a wide range of topics in machine learning, including natural language processing, computer vision, and speech recognition. It valuable resource for learners who want to gain a deep understanding of machine learning.
Provides a comprehensive introduction to probabilistic graphical models, covering topics such as Bayesian networks, Markov random fields, and hidden Markov models. It valuable resource for learners who want to gain a deep understanding of probabilistic graphical models.
Provides a practical introduction to the Natural Language Toolkit (NLTK), a popular open-source library for NLP. It valuable resource for learners who want to gain hands-on experience with NLP.
Provides a comprehensive introduction to speech and language processing, covering topics such as acoustic modeling, language modeling, and speech recognition. It valuable resource for learners who want to gain a deep understanding of the field.
Save
Provides a comprehensive overview of deep learning, a subfield of machine learning that has achieved remarkable success in recent years. It valuable resource for learners who want to gain a deep understanding of deep learning.
Save
Provides a comprehensive overview of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for learners who want to gain a deep understanding of machine learning.
Provides a comprehensive overview of probabilistic models for NLP, covering topics such as language models, machine translation, and information retrieval. It valuable resource for learners who want to gain a deep understanding of probabilistic models for NLP.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t6i1h0/building
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Effort
4 weeks
Via
Udacity
Instructor
Valerie Scarlata
Language
English
Good to know
Builds a strong foundation for beginners learning NLP
Taught by Valerie Scarlata, an industry expert in NLP
Utilizes the Microsoft Bot Framework, a widely used industry tool
Covers Azure Cognitive Services such as QnA Maker and LUIS, which are relevant technologies in the NLP
Includes hands-on labs and interactive materials to aid comprehension and retention
This course may require students to have some prior programming and NLP experience to get the most out of it
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