This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.



Introduction to Large Language Models
This course is part of Intro to Generative AI: A Beginner's Primer on Core Concepts Specialization

Instructor: Google Cloud Training
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What you'll learn
Define Large Language Models (LLMs)
Describe LLM Use Cases
Explain Prompt Tuning
Describe Google’s Gen AI Development tools
Skills you'll gain
- Category: Prompt Engineering
- Category: Large Language Modeling
- Category: Generative Model Architectures
- Category: Generative AI
- Category: Prompt Patterns
- Category: LLM Application
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There is 1 module in this course
This module explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
What's included
1 video1 reading1 assignment
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Reviewed on Oct 14, 2023
I believe that John Ewald did a great job at covering the basics for absolute beginners. I will recommend others to check out the course too before diving deep into more specific topics.
Reviewed on Jan 9, 2025
Great course with detailed info for people who are beginners, know a bit or know a lot.
Reviewed on Feb 13, 2025
The LLM course offers a comprehensive and practical understanding of large language models, equipping learners with essential skills for AI-driven text generation, analysis, and application.
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
