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 VodafoneZiggo
114,197 already enrolled
Gain insight into a topic and learn the fundamentals.
4.4
(1,153 reviews)
Beginner level
No prior experience required
Flexible schedule
1 hour to complete
Learn at your own pace
96%
Most learners liked this course
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
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Intro to Generative AI: A Beginner's Primer on Core Concepts 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 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
Instructor ratings
4.3 (287 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.4
1,153 reviews
- 5 stars
67.38%
- 4 stars
20.18%
- 3 stars
5.86%
- 2 stars
3.01%
- 1 star
3.53%
Showing 3 of 1153
MS
4
Reviewed on Sep 6, 2023
Very elementary and short course. It is biased towards Google products, but that's expected. Overall a good course!
FA
5
Reviewed on Mar 17, 2024
Quick way to learn about large language models. Helped me understood the basic concepts.
NM
5
Reviewed on Sep 7, 2024
The instructor was great and the transcripts, graphs, and reading material were invaluable. Thank you for this opportunity!
Explore more from Information Technology
H2O.ai
DeepLearning.AI
Duke University
