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⇱ Introduction to Large Language Models | Coursera


Introduction to Large Language Models

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Introduction to Large Language Models

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Gain insight into a topic and learn the fundamentals.
4.5

1,482 reviews

Beginner level
No prior experience required
Flexible schedule
1 hour to complete
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.5

1,482 reviews

Beginner level
No prior experience required
Flexible schedule
1 hour to complete
Learn at your own pace

What you'll learn

  • Define Large Language Models (LLMs)

  • Describe LLM Use Cases

  • Explain Prompt Tuning

  • Describe Google’s Gen AI Development tools

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English
96%
Most learners liked this course

Build your subject-matter expertise

This course is part of the Introduction to Generative AI Learning Path Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

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.

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

1 videoβ€’Total 15 minutes
  • Introduction to Large Language Modelsβ€’15 minutes
1 readingβ€’Total 30 minutes
  • Introduction to Large Language Models: Readingβ€’30 minutes
1 assignmentβ€’Total 8 minutes
  • Introduction to Large Language Models: Quizβ€’8 minutes

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Instructor

Instructor ratings
4.3 (345 ratings)
Google Cloud
2,269 Coursesβ€’4,431,051 learners

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Learner reviews

  • 5 stars

    70.16%

  • 4 stars

    18.18%

  • 3 stars

    5.11%

  • 2 stars

    3.03%

  • 1 star

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Showing 3 of 1482

KS
Β·

Reviewed on Mar 28, 2025

I was really happy with the course, I understood the concepts really well. Thank you so much

SJ
Β·

Reviewed on Mar 2, 2026

I love how each section is broken down and explained into bite size lessons so that you do not get overwhelmed.

DG
Β·

Reviewed on Dec 23, 2023

Basic foundation about terminology and concept if LLms. Builds foundation for further course

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.

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