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Generative AI with Large Language Models

Coursera · DeepLearning.AI · Updated March 2026

Platform rating

4.3/5

AI Tutor Rating

7.8/10

Duration

3 weeks

Classes

27

Deep dive into generative AI from DeepLearning.AI and AWS covering transformer architecture, training, fine-tuning, and deploying large language models.

What you'll get

Understand transformer architectures in depth

Train and fine-tune large foundation models

Evaluate and benchmark generative model quality

Course Curriculum

6 chapters

Fit

Best for

AI Researchers

PhD Students

Mathematicians

Frontier Scientists

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Python and basic ML

Pricing

Subscription

Certification

Certificate

Growth Leverage: Completing this course positions you for roles such as AI Engineer, Machine Learning Researcher, or Data Scientist specializing in NLP, potentially enhancing your eligibility for certifications like AWS Certified Machine Learning. It opens opportunities in sectors leveraging AI for content generation, chatbots, and automated systems.

Skills Value: The skills acquired can lead to salaries exceeding $120,000 annually, as expertise in training and fine-tuning large language models is in high demand. Employers value these skills for developing advanced AI applications that improve customer engagement and automate complex tasks.

LLM

Generative AI

Transformers

Fine-Tuning

AWS

Foundation Models

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