AWS is where AI runs at scale. This course teaches you Bedrock, Lambda, and Knowledge Bases — the three AWS services every AI developer needs to know. Go from zero to deployed AI app.
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import boto3 import json # Call Claude via AWS Bedrock client = boto3.client("bedrock-runtime", region_name="us-east-1") response = client.invoke_model( modelId="anthropic.claude-opus-4-5-20251101-v1:0", body=json.dumps({ "anthropic_version": "bedrock-2023-05-31", "max_tokens": 512, "messages": [{"role": "user", "content": "Hello!"}] }) ) result = json.loads(response["body"].read()) print(result["content"][0]["text"])
We cut straight to the services that matter for AI development. No networking deep dives. No certification prep. Just the path from API call to deployed app.
Build AI systems that scale automatically. AWS handles the servers — you focus on the logic.
Lambda means zero infrastructure to manage. Your AI pipeline runs on demand and costs nothing when idle.
Bedrock and Knowledge Bases are what Fortune 500 companies are actually deploying. Learn what's in production.
Every day builds on the previous one. By Day 5 you have a real app running in the cloud.
Set up your AWS account, create IAM roles with least-privilege permissions, and navigate the console. Understand regions and the billing model so you don't get surprised.
Enable Bedrock access, call Claude via the boto3 SDK, and compare it to calling the Anthropic API directly. Understand when to use Bedrock vs. direct API calls.
Store files in S3, trigger a Lambda function when new files arrive, and run Bedrock inference inside the Lambda. A fully serverless event-driven AI pipeline.
Upload documents to S3, create a Knowledge Base in Bedrock, and query it with natural language. Managed RAG without building your own vector database.
Containerize a FastAPI app that calls Bedrock, push it to ECR, and deploy it on App Runner. A real URL, a real app, running in production on AWS.
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Two days of hands-on building with a cohort of peers and direct expert feedback. The people who go furthest fastest take the live bootcamp after completing the free course.
No. Day 1 starts from creating an AWS account. If you can write Python, you can take this course.
Most of this course runs within AWS Free Tier limits. Days 4-5 may cost a few cents. We show you how to stay cheap and clean up resources after each lesson.
You need basic Python to follow along. If you're new to Python, take our free Python for AI course first.
Bedrock keeps your data within AWS (important for enterprise compliance), integrates with other AWS services natively, and lets you use multiple model providers through one API. We cover this in depth on Day 2.
Yes. All 5 days. No paywall.