AWS Bedrock Tutorial for Beginners: Build Your First AI Assistant

ChatGPT Plus costs $240/year. I built my own AI assistant for FREE using AWS Bedrock — running on Claude 3 Sonnet, Titan, and Nova. Full step-by-step tutorial with source code. 🔗 Get the code: https://github.com/Mamadoubalde/gen-a... 🔗 AWS Bedrock docs: https://aws.amazon.com/bedrock/ 🔗 Free AWS account: https://aws.amazon.com/free/ 🔗 AIP-C01 Exam Guide: https://aws.amazon.com/certification/... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏱️ TIMESTAMPS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 00:00 — Why I ditched ChatGPT Plus 00:45 — AWS Bedrock setup (free tier) 03:00 — Building the assistant in Python 07:00 — Streamlit UI walkthrough 10:00 — Testing, cost breakdown, results ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ WHAT YOU'LL LEARN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ AWS Bedrock fundamentals ✅ Converse API vs InvokeModel (key exam topic) ✅ Multi-model invocation (Claude, Titan, Nova) ✅ Prompt engineering: zero-shot, few-shot, chain-of-thought ✅ Token counting and cost estimation ✅ Building a Streamlit chat app ✅ IAM permissions for Bedrock ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💰 REAL COST BREAKDOWN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • 12 requests in my demo: $0.03 • Estimated annual cost: ~$6/year • ChatGPT Plus: $240/year • Savings: 97% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 ABOUT THIS SERIES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 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. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 WHO THIS IS FOR ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Developers learning AWS GenAI • Anyone tired of ChatGPT Plus bills • AWS certification candidates (AIP-C01) • Indie hackers building AI products • Anyone curious how AI apps actually work ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 TOOLS I USED ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AWS Bedrock (Claude 3 Sonnet, Titan G1, Nova Pro) • Python 3.11 + boto3 • Streamlit for the UI • AWS CLI for setup • VS Code ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 EXAM CORNER NOTES (AIP-C01) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Bedrock has two main APIs: • bedrock — manage, deploy, train models • bedrock-runtime — perform inference Unified API: Converse (supports messages across models) Native API: InvokeModel (model-specific payloads) IAM policies: • AmazonBedrockFullAccess — full permissions • AmazonBedrockReadOnly — read-only access Token counting: • CountTokens API — estimates cost without invoking • CloudWatch tracks InputTokenCount, OutputTokenCount Comment below with what you want to see next. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ #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 — PDF chat, image generation, or voice?