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.
π Get the code: https://github.com/Mamadoubalde/gen-a...
π AWS Bedrock docs: https://aws.amazon.com/bedrock/
π Free AWS account: https://aws.amazon.com/free/
π AIP-C01 Exam Guide: https://aws.amazon.com/certification/...
ββββββββββββββββββββββββββββββ
β±οΈ TIMESTAMPS
ββββββββββββββββββββββββββββββ
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
ββββββββββββββββββββββββββββββ
π οΈ WHAT YOU'LL LEARN
ββββββββββββββββββββββββββββββ
β
AWS Bedrock fundamentals
β
Converse API vs InvokeModel (key exam topic)
β
Multi-model invocation (Claude, Titan, Nova)
β
Prompt engineering: zero-shot, few-shot, chain-of-thought
β
Token counting and cost estimation
β
Building a Streamlit chat app
β
IAM permissions for Bedrock
ββββββββββββββββββββββββββββββ
π° REAL COST BREAKDOWN
ββββββββββββββββββββββββββββββ
β’ 12 requests in my demo: $0.03
β’ Estimated annual cost: ~$6/year
β’ ChatGPT Plus: $240/year
β’ Savings: 97%
ββββββββββββββββββββββββββββββ
π ABOUT THIS SERIES
ββββββββββββββββββββββββββββββ
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.
ββββββββββββββββββββββββββββββ
π― WHO THIS IS FOR
ββββββββββββββββββββββββββββββ
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
ββββββββββββββββββββββββββββββ
π§ TOOLS I USED
ββββββββββββββββββββββββββββββ
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
ββββββββββββββββββββββββββββββ
π EXAM CORNER NOTES (AIP-C01)
ββββββββββββββββββββββββββββββ
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.
ββββββββββββββββββββββββββββββ
#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?
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.
π Get the code: https://github.com/Mamadoubalde/gen-a...
π AWS Bedrock docs: https://aws.amazon.com/bedrock/
π Free AWS account: https://aws.amazon.com/free/
π AIP-C01 Exam Guide: https://aws.amazon.com/certification/...
ββββββββββββββββββββββββββββββ
β±οΈ TIMESTAMPS
ββββββββββββββββββββββββββββββ
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
ββββββββββββββββββββββββββββββ
π οΈ WHAT YOU'LL LEARN
ββββββββββββββββββββββββββββββ
β
AWS Bedrock fundamentals
β
Converse API vs InvokeModel (key exam topic)
β
Multi-model invocation (Claude, Titan, Nova)
β
Prompt engineering: zero-shot, few-shot, chain-of-thought
β
Token counting and cost estimation
β
Building a Streamlit chat app
β
IAM permissions for Bedrock
ββββββββββββββββββββββββββββββ
π° REAL COST BREAKDOWN
ββββββββββββββββββββββββββββββ
β’ 12 requests in my demo: $0.03
β’ Estimated annual cost: ~$6/year
β’ ChatGPT Plus: $240/year
β’ Savings: 97%
ββββββββββββββββββββββββββββββ
π ABOUT THIS SERIES
ββββββββββββββββββββββββββββββ
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.
ββββββββββββββββββββββββββββββ
π― WHO THIS IS FOR
ββββββββββββββββββββββββββββββ
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
ββββββββββββββββββββββββββββββ
π§ TOOLS I USED
ββββββββββββββββββββββββββββββ
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
ββββββββββββββββββββββββββββββ
π EXAM CORNER NOTES (AIP-C01)
ββββββββββββββββββββββββββββββ
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.
ββββββββββββββββββββββββββββββ
#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?