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*Title:* Getting Started with AWS Bedrock | Practical Hands-On Tutorial
*Description:*
Welcome back to Total Technology Zone! In this series, we dive into AWS Bedrock, starting with an introduction and practical hands-on tutorial. This video is perfect for those looking to integrate AWS Bedrock into their LLM applications using LangChain.
In This Tutorial:
1. **Introduction to AWS Bedrock**:
- What is AWS Bedrock?
- Overview of available models.
2. **Setting Up AWS Access**:
- Creating an IAM user.
- Setting up security credentials.
3. **AWS CLI Configuration**:
- Installing and configuring AWS CLI.
- Setting up access keys and region.
4. **Accessing AWS Bedrock**:
- Navigating the AWS Console.
- Selecting and accessing models in Bedrock.
5. **Coding with AWS Bedrock**:
- Writing Python code to integrate AWS Bedrock with LangChain.
- Example code to invoke models and generate responses.
Key Highlights:
- Step-by-step AWS IAM user creation and credential setup.
- Detailed instructions for configuring AWS CLI on your machine.
- Hands-on coding examples for interacting with AWS Bedrock models.
- Tips for troubleshooting common issues and optimizing performance.
*Prerequisites:*
- Basic knowledge of AWS services.
- Familiarity with Python programming.
Resources:
- [AWS Bedrock Documentation](aws.amazon.com/bedrock)
- [LangChain Documentation](python.langchain.com)
- [AWS CLI Installation Guide](docs.aws.amazon.com/cli/lates...)
Subscribe for More:
If you found this tutorial helpful, please like, subscribe, and share! Your support helps us create more educational content. Stay tuned for more in-depth tutorials on AWS Bedrock and other exciting technologies.
*Tags:*
AWS Bedrock, AWS Tutorial, LangChain, Python, LLM Integration, AI, Machine Learning, AWS CLI, IAM Setup, Total Technology Zone, Hands-On Tutorial, Cloud Computing, AWS Models
*Chapters:*
0:00 Introduction
1:00 What is AWS Bedrock?
2:30 Setting Up AWS Access
5:00 AWS CLI Configuration
7:30 Accessing AWS Bedrock
10:00 Coding with AWS Bedrock
15:00 Example: AI in Healthcare
18:00 Conclusion and Next Steps
Thank you for watching! Happy Learning! 🚀
*Disclaimer:*
This video is for educational purposes only. The opinions expressed are our own and do not reflect the official stance of AWS or any other entity.
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