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https://github.com/sondosaabed/introducing-generative-ai-with-aws
Prequalification course to a scholarship from AWS for AI programming
https://github.com/sondosaabed/introducing-generative-ai-with-aws
aws generative-ai jupyter-notebook python
Last synced: 3 days ago
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Prequalification course to a scholarship from AWS for AI programming
- Host: GitHub
- URL: https://github.com/sondosaabed/introducing-generative-ai-with-aws
- Owner: sondosaabed
- License: mit
- Created: 2024-04-06T00:41:39.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-04-13T00:07:39.000Z (9 months ago)
- Last Synced: 2024-11-06T15:40:11.544Z (about 2 months ago)
- Topics: aws, generative-ai, jupyter-notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 482 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Introducing-Generative-AI-with-AWS
A udacity course.
# Skills
Convolutional neural networks • Amazon sagemaker • Generative AI Fluency • Prompt Engineering • supervised machine learning# Lessons
### Lesson 1
Artificial Intelligence in ContextExplored AI's evolution and everyday impact, covering its history, societal prevalence, and industry applications.
### Lesson 2
Fundamentals of AI and MLIntroduction to AI and ML basics, covering their relationship, machine learning models, types, and approaches, plus generative AI.
### Lesson 3
Using Large Language Models (LLMs)This lesson covers LLMs, focusing on their evolution, transformer architectures, training methods, prompt engineering, and fine-tuning.
### Lesson 4
Real-world Applications of Generative AIExamined generative AI's societal impact, focusing on creative applications, ethical use, diversity in AI, and policy implications.
### Lesson 5 • Project
Project: Building a Domain Expert ModelIn this project, fine-tune a text generation large language foundation model for domain adaptation to be a domain expert using AWS Sagemaker