Build an AI Chatbot with Amazon Bedrock
Build a multi-turn AI chatbot with conversation memory and safety guardrails using Amazon Bedrock and Python.
Difficulty
Beginner
Time to complete
60 minutes
Availability
Free
BUILD
What you'll build
Build an AI chatbot using Amazon Bedrock and Python. Explore foundation models, make your first API call, and create a multi-turn chatbot with system prompts and safety guardrails.
1. Explore Amazon Bedrock
Browse foundation models in the AWS Console catalog and chat with Amazon Nova Lite.
2. Write Your First API Call
Write a Python script in AWS CloudShell that sends a prompt to the Converse API using boto3.
3. Build a Conversational Chatbot
Add conversation history, a system prompt, and a continuous input loop to your script.
4. Tune Inference Parameters
Experiment with temperature, top-p, and max tokens to control chatbot creativity and length.
5. Add Safety Guardrails
Create a Bedrock guardrail with content filtering policies and attach it to your chatbot.
Your portfolio builds as you work.
Every project documents itself as you go. Finish the work, and your proof is ready to share.
PROJECT
Real world application
Skills you'll learn
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Cloud AI Services
Access foundation models through managed cloud APIs without provisioning infrastructure
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Python SDK Integration
Write scripts that call AI services using the boto3 SDK
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Conversational AI
Build multi-turn chatbots that maintain context across messages
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Inference Configuration
Tune temperature, token limits, and sampling to control AI output
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AWS CloudShell
Run Python scripts in a browser-based terminal with pre-configured credentials
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Responsible AI
Add content filtering guardrails to enforce safety policies on responses
Tech stack
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Amazon Bedrock
Managed AI service providing unified API access to foundation models from leading providers
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Python
Programming language with the boto3 SDK for building AWS cloud applications
OUTCOME
Where this leads.
Relevant Jobs
Roles where these skills matter:
- AI Engineer
- Cloud Developer
- Python Developer
- Solutions Architect
- Generative AI Developer
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Continue the JourneyFAQs
Everything you need to know
No coding experience is required. This NextWork project guides you through every line of Python code. AWS CloudShell comes with Python and boto3 pre-installed, so there is zero local setup. You will write a working chatbot in approximately 60 minutes.
Less than $0.01. Amazon Bedrock charges per API call, and Amazon Nova Lite costs $0.00006 per 1,000 input tokens. All coding runs in AWS CloudShell, which is free. There are no running servers or ongoing costs after you finish the project.
The Converse API is Amazon Bedrock's unified interface for communicating with any foundation model. The same Python code works with Amazon Nova, Anthropic Claude, or Meta Llama with no model-specific formatting required. This project uses it because it teaches a portable skill that transfers to any Bedrock model.
A foundation model is a large AI model pre-trained on massive datasets. Instead of training your own model from scratch, you access one through an API. Amazon Bedrock gives you access to models from Amazon, Anthropic, Meta, and other providers through a single managed service.
Bedrock Guardrails are configurable safety filters that block harmful content before it reaches users. You create a guardrail in the AWS Console, define content filtering policies, and attach it to your API calls with a guardrail ID. This project's Secret Mission teaches you to add responsible AI protections to your chatbot.
Yes. The Converse API works with any model available in Amazon Bedrock, including Anthropic Claude, Meta Llama, and Mistral. After completing this project, you can swap the model ID in your script to use a different provider. Amazon Nova Lite is used here because it requires no extra approvals and costs almost nothing to run.
One Project. Real Skills.
60 minutes from now, you'll have completed Build an AI Chatbot with Amazon Bedrock. No prior experience needed. Just step-by-step guidance and a real project for your portfolio.
Beginner-friendly