Generative AI App In 10 Minutes ! | Python Streamlit | AWS | Amazon Bedrock

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🚀 Generative AI App In 10 Minutes! | Python Streamlit | AWS | Amazon Bedrock

In this hands-on tutorial, you’ll learn how to build a fully functional Generative AI application using Python, Streamlit, and Amazon Bedrock — in just 10 minutes!
Whether you're a beginner exploring AI or a cloud engineer looking to integrate GenAI into real-world applications, this step-by-step guide will help you build fast, clean, and production-ready code.

🔥 What You Will Learn

In this video, you will explore:

✅ How to set up Amazon Bedrock for text generation
✅ How to configure AWS credentials for secure model access
✅ How to integrate Bedrock models with Python
✅ Building a responsive UI using Streamlit
✅ Creating a text generative interface with prompts
✅ Deploying a simple GenAI application end-to-end
✅ Best practices for clean and modular Python code

🧠 Technologies Used

Python 3.x

Streamlit (UI framework for ML/AI apps)

Amazon Bedrock (Foundational model service on AWS)

AWS SDK for Python (boto3 / bedrock-runtime client)

📌 Why This Matters

Generative AI is transforming modern applications. Amazon Bedrock provides enterprise-grade foundation models like Anthropic Claude, Amazon Titan, and Meta Llama — giving developers the power to integrate AI quickly and securely.

With Streamlit, you can turn your Python script into a beautiful web app effortlessly.

This video helps you master the workflow from model → API → UI in the simplest possible way.

📁 Source Code & Commands

https://github.com/RekhuGopal/PythonH...

⭐ If You Found This Helpful

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🔖 Hashtags (SEO Optimized)

#GenerativeAI #AmazonBedrock #AWS #Python #Streamlit #AIApplication #CloudQuickLabs #Bedrock #AIApp #MachineLearning #PythonTutorial #AITutorial


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