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Generative AI with Large Language Models -- Amazon Web Services

Amazon Web Services × DeepLearning.AI

A hands-on course by DeepLearning.AI and AWS on the course platform that prepares data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying large language models for real-world applications. The course covers transformer architecture, training and inference methods, and includes practical labs hosted by AWS in a provided cloud environment.

Duration

16 hours

Level

Intermediate

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24
Enroll Now → Get Step-by-Step Guide — $9.99

📋 Prerequisites

This is an intermediate course. You should have experience coding in Python and be familiar with the basics of machine learning. Completion of the Machine Learning Specialization or Deep Learning Specialization is recommended.

👥 Who Should Take This Course

  • • Data scientists looking to specialize in generative AI and LLMs
  • • Machine learning engineers seeking hands-on LLM training experience
  • • Software developers wanting to integrate LLMs into applications
  • • AI practitioners interested in transformer architecture and fine-tuning techniques

📚 What You Will Learn

1

Introduction to Generative AI and the LLM Lifecycle

2

Transformer Architecture and Attention Mechanisms

3

Pre-training Large Language Models

4

Fine-Tuning with Instruction Tuning and RLHF

5

Model Evaluation and Benchmarking

6

Deploying LLMs for Real-World Applications

🏛️ About the Institution — Amazon Web Services

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 services from data centers globally. In partnership with DeepLearning.AI, founded by machine learning pioneer Andrew Ng, AWS delivers cutting-edge AI and machine learning education.

Founded

2006

Location

Seattle, Washington, USA

Recognition

#1 Cloud Services Provider — Gartner Magic Quadrant

❓ Frequently Asked Questions

Are the hands-on labs included for free? ▼
The hands-on labs are hosted by AWS Partner Vocareum and are included as part of the course. You will have access to an AWS environment provided with the course to apply techniques directly.
How long do I have to earn the certificate? ▼
There is a limit of 180 days of certificate eligibility from the time you enroll. The course content spans approximately 3 weeks with about 16 hours of videos, quizzes, labs, and readings.
Who created this course? ▼
The course was jointly created by DeepLearning.AI, founded by machine learning pioneer Andrew Ng, and Amazon Web Services (AWS). It combines DeepLearning.AI's educational expertise with AWS's cloud infrastructure and AI services.

🏷️ Topics

#generative-ai #llm #aws #deeplearning-ai #transformer #fine-tuning #machine-learning #nlp

📖 Get Step-by-Step Guide

Complete walkthrough with screenshots, tips, and troubleshooting

  • ✓ Step-by-step registration walkthrough
  • ✓ Screenshot tutorials for each step
  • ✓ Common mistakes to avoid
  • ✓ Tips to complete faster
  • ✓ Troubleshooting FAQ
$9.99 — Get Step-by-Step Guide

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