Module 1 Wrap-up: The Strategic Architect

You have moved from seeing "AI" as a buzzword to seeing AWS Bedrock as a professional toolbelt. You know that Bedrock is a serverless platform that allows you to swap brains (models) with a single line of code while keeping your enterprise data safe.

Hands-on Exercise: Selecting the Right Tool

Part 1: Scenario Analysis

For each of the following scenarios, identify the Model Family you would recommend and Why.

Scenario A: A law firm needs to summarize 5,000-page court transcripts with extreme accuracy and logic.
- Candidate: Anthropic Claude 3.5 Sonnet (Superior reasoning and huge context).
Scenario B: A high-speed social media app needs to generate short, funny captions in less than 200ms.
- Candidate: Meta Llama 3 8B (Speed and efficiency).
Scenario C: A marketing agency needs to generate highly stylized background images for a footwear campaign.
- Candidate: Stability AI SDXL.

Visualizing the Knowledge Flow

graph TD
    User[Developer] --> API[Bedrock API]
    API --> M1[Claude: Logic]
    API --> M2[Llama: Speed]
    API --> M3[Titan: Bedrock Native]
    M1 --> Res[Unified JSON Response]
    M2 --> Res
    M3 --> Res

Module 1 Summary

Managed Service: Bedrock removes the "Infrastructure Headache" of AI.
Model Diversity: You have access to Amazon, Anthropic, Meta, Mistral, and Stability.
Pricing: Usually pay-per-token (On-Demand) or Provisioned Throughput for high volume.
Regions: Bedrock is available globally, but model availability varies by region (e.g., US-East-1 vs. EU-Central-1).

Coming Up Next...

In Module 2, we will get our hands dirty with AWS Setup and Permissions. We will learn how to configure IAM Roles and safely enable model access so your code can start making "Intelligent" requests.

Module 1 Checklist

I can describe the difference between Bedrock and SageMaker.
I know at least 4 model providers available on Bedrock.
I understand that my data in Bedrock is not used for provider training.
I have identified the AWS regions near me that support Bedrock.

Module 1 Wrap-up: Foundations and Model Selection