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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
Show info about module content
1 video•Total 15 minutes
Introduction to Large Language Models•15 minutes
1 reading•Total 30 minutes
Introduction to Large Language Models: Reading•30 minutes
1 assignment•Total 8 minutes
Introduction to Large Language Models: Quiz•8 minutes
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Learner reviews
4.5
1,451 reviews
5 stars
70.19%
4 stars
18.26%
3 stars
5.08%
2 stars
2.95%
1 star
3.50%
Showing 3 of 1451
S
SM
5·
Reviewed on Jan 9, 2025
Great course with detailed info for people who are beginners, know a bit or know a lot.
C
CB
5·
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.
R
RK
4·
Reviewed on Nov 28, 2024
it is good course if you want to understand about Large language model and also good intro to prompt engineer
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What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.