7. Local AWS Developer Setup – CLI, User & Profiles

Описание: 🚀 Building a Production-Grade Agentic AI Compliance System on AWS:

This is introduction video of a multi-video series where we build a real-world Agentic AI Compliance Workflow using:
Amazon S3 (Event Trigger)
AWS Lambda (Agent Execution)
AWS Step Functions (Orchestration)
Amazon Bedrock (GenAI Processing)
IAM (Secure Role-Based Access)
Terraform (Infrastructure as Code)

Link for the series tutorial:
   • Production-Ready Multi Agent Agentic AI Wo...  

In this video:
We prepare local development:
AWS CLI configuration
Named profiles
local user permissions
Credential management
Terraform CLI setup
Secure local workflow
Professional local setup matters.

🏗️ Architecture Overview:
Event-Driven Flow:
1️⃣ Contract uploaded to Amazon S3
2️⃣ S3 triggers a Lambda (Trigger Lambda)
3️⃣ Lambda starts an AWS Step Functions execution
4️⃣ Step Functions orchestrates:
Ingestion Agent (Lambda + Bedrock)
Compliance Agent (Lambda + Bedrock)
5️⃣ Final structured compliance output returned via Step Functions

Fully serverless.
Horizontally scalable.
Enterprise extensible.

📂 Project Structure
agentic-ai-system/
├── infra/
├── agents/
│ ├── ingestion/
│ ├── compliance/
├── step_functions/
├── shared/
├── ci/
└── README.md

We’ll build this step-by-step in the series.

👨‍💼 About Me:
I am an AWS Certified Developer and AWS Certified Solutions Architect with around 2 decades of software development experience, building production-grade cloud AI systems and agentic architectures.

This channel focuses on:
Enterprise AI on AWS
Agentic AI systems
Bedrock production patterns
Serverless architecture design
Cloud-native GenAI workflows

📅 Business & Architecture Consulting
If you're building enterprise AI systems or need architecture guidance:
👉 Book a consultation call:
https://calendly.com/romitbhandari17/...

📂 GitHub Repository:
Full codebase for this series:
👉 https://github.com/romitbhandari17/ag...

Prompt cheatsheet:
https://github.com/romitbhandari17/ag...

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