AWS Bedrock Tutorial for Beginners: Build Your First AI Assistant

BaldΓ© Tech

BaldΓ© Tech

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ChatGPT Plus costs $240/year. I built my own AI assistant for FREE using AWS Bedrock β€” running on Claude 3 Sonnet, Titan, and Nova. Full step-by-step tutorial with source code.

πŸ”— Get the code: https://github.com/Mamadoubalde/gen-a...
πŸ”— AWS Bedrock docs: https://aws.amazon.com/bedrock/
πŸ”— Free AWS account: https://aws.amazon.com/free/
πŸ”— AIP-C01 Exam Guide: https://aws.amazon.com/certification/...

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⏱️ TIMESTAMPS
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00:00 β€” Why I ditched ChatGPT Plus
00:45 β€” AWS Bedrock setup (free tier)
03:00 β€” Building the assistant in Python
07:00 β€” Streamlit UI walkthrough
10:00 β€” Testing, cost breakdown, results

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πŸ› οΈ WHAT YOU'LL LEARN
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βœ… AWS Bedrock fundamentals
βœ… Converse API vs InvokeModel (key exam topic)
βœ… Multi-model invocation (Claude, Titan, Nova)
βœ… Prompt engineering: zero-shot, few-shot, chain-of-thought
βœ… Token counting and cost estimation
βœ… Building a Streamlit chat app
βœ… IAM permissions for Bedrock

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πŸ’° REAL COST BREAKDOWN
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β€’ 12 requests in my demo: $0.03
β€’ Estimated annual cost: ~$6/year
β€’ ChatGPT Plus: $240/year
β€’ Savings: 97%

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πŸ“š ABOUT THIS SERIES
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I'm documenting my entire journey to the AWS Certified Generative AI Developer Professional exam. Every episode builds one real AI app and maps it to exam domains.

Episode 1: Free ChatGPT alternative (you are here)
Episode 2: ChatGPT for my PDFs (RAG)
Episode 3: AI that reads any document
Episode 4: AI that can't be hacked
Episode 5: Multi-tool AI agents
...and more.

Subscribe to follow the build.

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🎯 WHO THIS IS FOR
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β€’ Developers learning AWS GenAI
β€’ Anyone tired of ChatGPT Plus bills
β€’ AWS certification candidates (AIP-C01)
β€’ Indie hackers building AI products
β€’ Anyone curious how AI apps actually work

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πŸ”§ TOOLS I USED
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β€’ AWS Bedrock (Claude 3 Sonnet, Titan G1, Nova Pro)
β€’ Python 3.11 + boto3
β€’ Streamlit for the UI
β€’ AWS CLI for setup
β€’ VS Code

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πŸ“Œ EXAM CORNER NOTES (AIP-C01)
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Bedrock has two main APIs:
β€’ bedrock β€” manage, deploy, train models
β€’ bedrock-runtime β€” perform inference

Unified API: Converse (supports messages across models)
Native API: InvokeModel (model-specific payloads)

IAM policies:
β€’ AmazonBedrockFullAccess β€” full permissions
β€’ AmazonBedrockReadOnly β€” read-only access

Token counting:
β€’ CountTokens API β€” estimates cost without invoking
β€’ CloudWatch tracks InputTokenCount, OutputTokenCount

Comment below with what you want to see next.

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#AWS #GenAI #Bedrock #ChatGPT #AI #AWSBedrock #MachineLearning #AWSCertification #LLM #ArtificialIntelligence #Claude #Titan #Nova #Serverless #Python #Streamlit #AIP #CloudComputing #TechTutorial #FreeAI

Next episode, I'll secure the API with authentication and guardrails. What should I add after that β€” PDF chat, image generation, or voice?