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
Access provided by DSC SRCASW
113,299 already enrolled
(1,139 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




Learner reviews
1,139 reviews
- 5 stars
67.53%
- 4 stars
20.06%
- 3 stars
5.84%
- 2 stars
3.05%
- 1 star
3.49%
Showing 3 of 1139
Reviewed on Oct 22, 2023
High level intro to LLM, in just 15 minutes you know how this technology breakthrough works.
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.
Reviewed on Jun 30, 2024
Engaging and easy to follow content. Good resource materials provided for further reading.
Explore more from Information Technology
H2O.ai
DeepLearning.AI
Duke University