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Axel Sirota
Transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, you will learn how to create Transformers for NLP.
Read more
Transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, you will learn how to create Transformers for NLP.
Read more
Transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, you will learn how to create Transformers for NLP.
Natural language processing is a set of tools and techniques that enable us to unlock the power of text, and transformers have revolutionized NLP since their inception in 2017. They can understand language at a deeper level as well as parallelize training on GPUs. In this course, NLP's and Transformer Models, you’ll gain the ability to use and create Transformers and LLMs for NLP. First, you’ll explore the attention mechanism and learn how it really works. Next, you’ll discover about the Transformer architecture and write one of your own! Finally, you’ll learn how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs to do pretty amazing tasks. When you’re finished with this course, you’ll have the skills and knowledge of Transformers on Natural Language Processing needed to develop outstanding solutions.
Register for this course and see more details by visiting:
OpenCourser.com/course/hk1xlr/microsoft
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What's inside
Syllabus
Course Overview
What Is NLP?
Attention Is All You Need
Transforming NLP
Read more
Syllabus
Course Overview
What Is NLP?
Attention Is All You Need
Transforming NLP
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Useful for learners who come from a computer science background
Useful for learners who want to master existing capabilities and concepts related to technology
Save this course
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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 Microsoft Azure Fundamentals (AZ-900): Identity, Deployment, and Management with these
activities:
Review foundational knowledge in NLP
Show steps
Review key NLP concepts and techniques to prepare for this course's advanced topics.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read the first three chapters of the book.
-
Complete the practice exercises in the book.
Create a collection of NLP resources
Show steps
Enhance your learning experience by organizing and expanding your collection of NLP resources.
Browse courses on
Natural Language Processing
Show steps
-
Gather links to relevant articles, tutorials, and videos.
-
Organize the resources into categories.
Find a mentor in the NLP field
Show steps
Accelerate your learning by connecting with an experienced NLP practitioner.
Browse courses on
Natural Language Processing
Show steps
-
Attend NLP meetups or conferences.
-
Reach out to NLP professionals on LinkedIn.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Understand the attention mechanism
Show steps
Deepen your understanding of the attention mechanism, a key concept in Transformers and NLP.
Browse courses on
Attention Mechanism
Show steps
-
Follow the tutorial on the Attention Mechanism by Jay Alammar.
-
Complete the exercises in the tutorial.
Practice implementing Transformers
Show steps
Solidify your understanding of Transformers by implementing them from scratch.
Browse courses on
Transformers
Show steps
-
Follow a tutorial on implementing a Transformer from scratch.
-
Complete the code exercises in the tutorial.
Build a text classification model using Transformers
Show steps
Apply your knowledge of Transformers to a real-world problem by building a text classification model.
Browse courses on
Text Classification
Show steps
-
Choose a dataset for text classification.
-
Prepare the data for training.
-
Train a Transformer model on the data.
-
Evaluate the performance of the model.
Explore cutting-edge research in NLP
Show steps
Enhance your knowledge of NLP by staying up-to-date on the latest research.
Browse courses on
Natural Language Processing
Show steps
-
Read recent research papers in NLP.
-
Attend conferences or webinars on NLP research.
-
Discuss research ideas with other NLP enthusiasts.
Review foundational knowledge in NLP
Show steps
Review key NLP concepts and techniques to prepare for this course's advanced topics.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read the first three chapters of the book.
- Complete the practice exercises in the book.
Create a collection of NLP resources
Show steps
Enhance your learning experience by organizing and expanding your collection of NLP resources.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Gather links to relevant articles, tutorials, and videos.
- Organize the resources into categories.
Find a mentor in the NLP field
Show steps
Accelerate your learning by connecting with an experienced NLP practitioner.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Attend NLP meetups or conferences.
- Reach out to NLP professionals on LinkedIn.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Understand the attention mechanism
Show steps
Deepen your understanding of the attention mechanism, a key concept in Transformers and NLP.
Browse courses on
Attention Mechanism
Show steps
Show steps
Show steps
- Follow the tutorial on the Attention Mechanism by Jay Alammar.
- Complete the exercises in the tutorial.
Practice implementing Transformers
Show steps
Solidify your understanding of Transformers by implementing them from scratch.
Browse courses on
Transformers
Show steps
Show steps
Show steps
- Follow a tutorial on implementing a Transformer from scratch.
- Complete the code exercises in the tutorial.
Build a text classification model using Transformers
Show steps
Apply your knowledge of Transformers to a real-world problem by building a text classification model.
Browse courses on
Text Classification
Show steps
Show steps
Show steps
- Choose a dataset for text classification.
- Prepare the data for training.
- Train a Transformer model on the data.
- Evaluate the performance of the model.
Explore cutting-edge research in NLP
Show steps
Enhance your knowledge of NLP by staying up-to-date on the latest research.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Read recent research papers in NLP.
- Attend conferences or webinars on NLP research.
- Discuss research ideas with other NLP enthusiasts.
Career center
Learners who complete Microsoft Azure Fundamentals (AZ-900): Identity, Deployment, and Management will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Specialist
Natural Language Processing Specialist
A Natural Language Processing Specialist is responsible for developing and maintaining natural language processing (NLP) systems. NLP systems are used to understand and interpret human language. This course can help you build a foundation in NLP, which is essential for a successful career as a Natural Language Processing Specialist. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of techniques, including NLP, to extract insights from data. This course can help you build a foundation in NLP, which is a valuable skill for Data Scientists. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They use a variety of techniques, including NLP, to train models on data. This course can help you build a foundation in NLP, which is a valuable skill for Machine Learning Engineers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies, including NLP, to build software. This course can help you build a foundation in NLP, which is a valuable skill for Software Engineers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers, to bring products to market. This course can help you build a foundation in NLP, which is a valuable skill for Product Managers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Business Analyst
Business Analyst
Business Analysts use data to understand and improve business processes. They use a variety of techniques, including NLP, to extract insights from data. This course can help you build a foundation in NLP, which is a valuable skill for Business Analysts. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. They use a variety of techniques, including NLP, to reach target audiences. This course can help you build a foundation in NLP, which is a valuable skill for Marketing Managers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Sales Manager
Sales Manager
Sales Managers are responsible for the development and execution of sales strategies. They use a variety of techniques, including NLP, to reach target customers. This course can help you build a foundation in NLP, which is a valuable skill for Sales Managers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for the success of customers using a company's products or services. They use a variety of techniques, including NLP, to build relationships with customers and help them achieve their goals. This course can help you build a foundation in NLP, which is a valuable skill for Customer Success Managers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Journalist
Journalist
Journalists gather, analyze, and report on news and current events. They use a variety of writing styles, including NLP, to communicate information to a variety of audiences. This course can help you build a foundation in NLP, which is a valuable skill for Journalists. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Copywriter
Copywriter
Copywriters create and maintain marketing materials, such as advertisements, brochures, and website copy. They use a variety of writing styles, including NLP, to persuade audiences to take action. This course can help you build a foundation in NLP, which is a valuable skill for Copywriters. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Content Writer
Content Writer
Content Writers create and maintain content for websites, blogs, and other online platforms. They use a variety of writing styles, including NLP, to communicate information and engage audiences. This course can help you build a foundation in NLP, which is a valuable skill for Content Writers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Technical Writer
Technical Writer
Technical Writers create and maintain documentation for software and other technical products. They use a variety of writing styles, including NLP, to communicate complex technical information to a variety of audiences. This course can help you build a foundation in NLP, which is a valuable skill for Technical Writers. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Archivist
Archivist
Archivists preserve and manage historical documents and artifacts. They use a variety of techniques, including NLP, to organize and retrieve information. This course can help you build a foundation in NLP, which is a valuable skill for Archivists. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
Librarian
Librarian
Librarians help people find and use information. They use a variety of techniques, including NLP, to organize and retrieve information. This course can help you build a foundation in NLP, which is a valuable skill for Librarians. You will learn about the attention mechanism, Transformer architecture, and how to leverage Hugging Face to fine-tune or perform “transfer learning” on LLMs.
For more career information including salaries, visit:
OpenCourser.com/course/hk1xlr/microsoft
Reading list
We've selected three 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
Microsoft Azure Fundamentals (AZ-900): Identity, Deployment, and Management.
Provides a comprehensive overview of machine learning for text, covering a wide range of topics from foundational concepts to advanced applications. It valuable resource for anyone looking to learn more about machine learning for text.
This textbook provides a comprehensive overview of deep learning methods and their applications in NLP.
Provides a practical introduction to NLP with a focus on using the Python programming language. It valuable resource for anyone looking to get started with NLP in Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hk1xlr/microsoft
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Time
195 hours
Level
Intermediate
Via
Pluralsight
Instructor
Axel Sirota
Language
English
Good to know
Useful for learners who come from a computer science background
Useful for learners who want to master existing capabilities and concepts related to technology
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