Current

Intermediate

Generative AI with Large Language Models

Coursera · DeepLearning.AI · Updated March 2026

Platform rating

4.3/5

Champ 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

LLM

Generative AI

Transformers

Fine-Tuning

AWS

Foundation Models

ShareCompare

Add to StackGo to Course

Alternatives to Generative AI with Large Language Models

Compare

Current

Deep Learning & Modern AI Architectures

Coursera · Packt

4.3

7.8/10

1-3 months

Master modern deep learning architectures including RNNs, CNNs, transfer learning, and Vision Transformers for practical applications.

Subscription

ViewAddCompare

Andrew Ng's comprehensive deep learning specialization covering neural networks, CNNs, RNNs, transformers, and generative models.

Master generative AI architectures including GPT, BERT, diffusion models, and multimodal systems with hands-on implementation.

Master the mathematics behind machine learning including linear algebra, calculus, probability, and statistics from DeepLearning.AI.