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

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
Access provided by Innovecs
128,189 already enrolled
1,317 reviews
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
Details to know

Add to your LinkedIn profile
1 assignment
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- 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 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
69.21%
- 4 stars
19.02%
- 3 stars
5.38%
- 2 stars
2.88%
- 1 star
3.48%
Showing 3 of 1317
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 Mar 18, 2025
My opinion is that after the completion of a course the awarding should be instant
Reviewed on Jun 30, 2024
Engaging and easy to follow content. Good resource materials provided for further reading.





