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Introduction to Large Language Models

Beginner 2 hours English Completion CertificateFREE

About this course

Introduction to Large Language Models is Google Cloud's bite-sized primer on what an LLM actually is, the situations where one is the right tool, and how prompt tuning changes what it outputs. It closes with a tour of Google's own generative AI development tooling, so it doubles as an orientation for anyone planning to build on Google Cloud's AI stack specifically.

At roughly 2 hours, it's deliberately short — a concept primer, not a hands-on building course. The honest take: it's the right pick if you need to understand LLMs well enough to talk about them confidently or evaluate vendor claims, but it won't teach you to build anything. For hands-on LLM development, pair it with a project-based course.

What you'll learn

Define what a large language model is
Identify use cases where an LLM is the right tool
Explain prompt tuning and why it changes outputs
Describe Google's Gen AI development tools
Evaluate basic LLM vendor claims with more confidence
Recognize the limits of a concept-only introduction

This course includes

2h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

GC
Google Cloud Training
Coursera instructor
learners courses instructor rating

Taught by Google Cloud Training, the team behind Google Cloud's official certification and skills curriculum.

Requirements

  • No prior AI or programming experience required

Who this course is for

  • Non-technical professionals who need LLM literacy
  • Anyone evaluating AI vendor tools or claims
  • Learners considering Google Cloud's AI stack

About this provider

CO
Coursera
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Frequently asked questions

It's concept-focused — it explains what LLMs are and how they're used, but doesn't walk through building an application.
Yes, free to audit, with a certificate available on Coursera's paid plans.
About 2 hours — it's intentionally short.
The LLM concepts are general, but the final section covers Google Cloud's own Gen AI development tools specifically.
Yes, for non-technical learners who want to understand LLMs well enough to discuss or evaluate them, rather than build with them.
Free
to audit
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