https://github.com/ksm26/serverless-llm-apps-with-amazon-bedrock
The course equips you with the skills to deploy Large Language Model (LLM)-based applications into production using serverless technology with Amazon Bedrock.
https://github.com/ksm26/serverless-llm-apps-with-amazon-bedrock
audio-analysis audio-analysis-tasks audio-processing automatic-speech-recognition aws-generative-ai aws-lambda-serverless-framework cloud-computing deep-learning-techniques event-driven-architecture event-driven-architectures natural-language-understanding serverless-technology transcription-services
Last synced: 6 months ago
JSON representation
The course equips you with the skills to deploy Large Language Model (LLM)-based applications into production using serverless technology with Amazon Bedrock.
- Host: GitHub
- URL: https://github.com/ksm26/serverless-llm-apps-with-amazon-bedrock
- Owner: ksm26
- Created: 2024-02-15T10:01:32.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-27T10:02:43.000Z (over 1 year ago)
- Last Synced: 2024-02-27T15:57:06.511Z (over 1 year ago)
- Topics: audio-analysis, audio-analysis-tasks, audio-processing, automatic-speech-recognition, aws-generative-ai, aws-lambda-serverless-framework, cloud-computing, deep-learning-techniques, event-driven-architecture, event-driven-architectures, natural-language-understanding, serverless-technology, transcription-services
- Language: Jupyter Notebook
- Homepage: https://www.deeplearning.ai/short-courses/serverless-llm-apps-amazon-bedrock/
- Size: 1.66 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚀 [Serverless LLM apps with Amazon Bedrock](https://www.deeplearning.ai/short-courses/serverless-llm-apps-amazon-bedrock/)
💻 Welcome to the "Serverless LLM apps with Amazon Bedrock" course! Instructed by Mike Chambers, Developer Advocate for Generative AI at AWS, this course will teach you how to deploy Large Language Model (LLM)-based applications into production using serverless technology with Amazon Bedrock.
**Course Website**: 📚[deeplearning.ai](https://www.deeplearning.ai/short-courses/serverless-llm-apps-amazon-bedrock/)
## Course Summary
In this course, you'll learn the ins and outs of deploying LLM-based applications using serverless technology. Here's what you can expect to learn and experience:
1. 🛠 **Prompting and Customizing LLM Responses**: Learn how to prompt and customize your LLM responses using Amazon Bedrock.
2. 🔊 **Summarizing Audio Conversations**: Summarize audio conversations by transcribing audio files and passing the transcription to an LLM.
3. ⚙️ **Deploying Event-driven Audio Summarizer**: Deploy an event-driven audio summarizer that runs as new audio files are uploaded using a serverless architecture.
## Key Points
- 🧠 Learn how to prompt and customize your LLM responses using Amazon Bedrock.
- 🎙 Summarize audio conversations by transcribing audio files and passing the transcription to an LLM.
- ⚡ Deploy an event-driven audio summarizer using a serverless architecture.
## About the Instructor
🌟 **Mike Chambers** is a Developer Advocate for Generative AI at AWS and co-instructor of Generative AI with Large Language Models. With extensive experience, Mike will guide you through deploying serverless LLM applications with Amazon Bedrock.
🔗 To enroll in the course or for further information, visit [deeplearning.ai](https://www.deeplearning.ai/short-courses/).