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LLMs in Action

Real-world Applications

Amber Israelsen

Large language models (LLMs) are all the rage these days. But beyond writing essays, jokes, and code, what are some other ways to use them? This course will teach you real-world applications for LLMs across a variety of industries.

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Large language models (LLMs) are all the rage these days. But beyond writing essays, jokes, and code, what are some other ways to use them? This course will teach you real-world applications for LLMs across a variety of industries.

By now, you’ve probably used large language models (LLMs) like ChatGPT, Bing, or Bard to write emails, generate code, and maybe even do some creative writing. But beyond those obvious examples, what are some other practical use cases for LLMs?

In this course, LLMs in Action: Real-world Applications, you’ll gain an understanding of how LLMs are being used today across a variety of industries.

First, you’ll explore applications of LLMs in healthcare, the financial sector, e-commerce and retail, and media and entertainment.

Next, you’ll discover innovative and novel ways that LLMs are being used, and how cross-industry adoption can facilitate creative problem-solving.

Finally, you’ll explore recent success stories and the impacts of this transformative technology.

When you’re finished with this course, you’ll have the skills and knowledge of LLMs needed to apply them in a practical way across a variety of fields.

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What's inside

Syllabus

Course Overview
Using Large Language Models (LLMs) across Different Industries
Exploring Innovative Use Cases and Success Stories for LLMs

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge in using large language models (LLMs), which are highly relevant to a variety of industries
Explores practical applications of LLMs in healthcare, finance, e-commerce, and media
Taught by Amber Israelsen, a recognized expert in the field of LLMs
Covers innovative and novel use cases for LLMs, which may foster creative problem-solving
Provides an overview of the transformative impacts of LLMs

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Activities

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Career center

Learners who complete LLMs in Action: Real-world Applications will develop knowledge and skills that may be useful to these careers:
AI Research Scientist
Large language models are a type of artificial intelligence (AI), and AI research scientists are responsible for developing and improving AI models. This course can help you build a foundation in LLMs and their applications, which may be helpful for a career as an AI research scientist. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved AI models for a variety of applications.
Data Scientist
Data scientists use data to solve problems and make predictions. LLMs can be used to process and analyze large amounts of data, which can be helpful for data scientists. This course can help you learn how to use LLMs to clean, process, and analyze data. You will also learn about the different ways that LLMs are being used in different industries, which can help you to identify opportunities to use LLMs in your own work.
Machine Learning Engineer
Machine learning engineers build and deploy machine learning models. LLMs can be used to build and improve machine learning models, and this course can help you learn how to do this. You will learn about the different types of LLMs and how they can be used to solve different problems. You will also learn about the different ways that LLMs are being used in different industries, which can help you to identify opportunities to use LLMs in your own work.
Software Engineer
Software engineers design, develop, and maintain software applications. LLMs can be used to automate parts of the software development process, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved software applications for a variety of applications.
Marketing Manager
Marketing managers are responsible for developing and executing marketing campaigns. LLMs can be used to automate parts of the marketing process, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved marketing campaigns for a variety of products and services.
Product Manager
Product managers are responsible for the development and launch of new products. LLMs can be used to gather feedback from customers and to identify new product opportunities. This course can help you learn how to use LLMs to improve your product development process. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved products for a variety of markets.
Consultant
Consultants provide advice to businesses on a variety of topics. LLMs can be used to gather information and generate reports, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved consulting services for a variety of businesses.
Technical Writer
Technical writers are responsible for writing technical documentation. LLMs can be used to generate text and code, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved technical writing strategies for a variety of businesses.
Customer Success Manager
Customer success managers are responsible for ensuring that customers are satisfied with a company's products and services. LLMs can be used to automate parts of the customer success process, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved customer success strategies for a variety of products and services.
Market Researcher
Market researchers are responsible for conducting research on consumer behavior and trends. LLMs can be used to analyze data and identify trends, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved market research strategies for a variety of businesses.
Healthcare Analyst
Healthcare analysts are responsible for analyzing healthcare data and making recommendations on how to improve the quality and efficiency of healthcare services. LLMs can be used to analyze data and identify trends, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved healthcare analysis strategies for a variety of healthcare providers.
Financial Analyst
Financial analysts are responsible for analyzing financial data and making investment recommendations. LLMs can be used to analyze data and identify trends, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved financial analysis strategies for a variety of businesses.
Project Manager
Project managers are responsible for planning, organizing, and executing projects. LLMs can be used to automate parts of the project management process, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved project management strategies for a variety of projects.
Sales Manager
Sales managers are responsible for leading and motivating sales teams. LLMs can be used to automate parts of the sales process, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved sales strategies for a variety of products and services.
Business Analyst
Business analysts are responsible for identifying and solving business problems. LLMs can be used to analyze data and identify trends, and this course can help you learn how to do this. You will learn about the different ways that LLMs are being used in different industries, as well as innovative and novel ways that LLMs are being used. This knowledge can help you to develop new and improved business analysis strategies for a variety of businesses.

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 LLMs in Action: Real-world Applications.
This practical guide to deep learning great resource for those interested in understanding the nuts and bolts of how LLMs work.
This practical guide to TensorFlow valuable resource for those looking to implement and train their own LLMs using this popular deep learning framework.
This specific guide focuses on the Python NLTK library, a popular tool for working with LLMs and other natural language processing tasks. It valuable resource for those interested in programming LLMs.
Explores the ethical and societal implications of AI and machine learning, including the potential risks and benefits of LLMs. It's important to consider the broader implications of the technology discussed in this course.
Provides a practical introduction to deep learning, which is the foundation of LLM technology. While the course does not require prior knowledge of deep learning, this book can provide valuable background information.

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