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Stop guessing at multipart parsing. Build FastAPI upload endpoints that validate content, stream to disk, and clean up after themselves when the LLM call fails at byte one million.
Message a mentor about fit, prerequisites, or where to start. Replies come on WhatsApp, usually within a day.
Engineers are learning here from
Accept audio, PDF, and image uploads with content-type and size validation, stream them to disk safely, and clean up when the LLM call fails.
Accept audio, PDF, and image uploads safely with FastAPI and clean up when the LLM call fails.
What you'll ship
What you'll learn
Curriculum
The upload problem
See what multipart actually sends and the security surface you inherit when you accept files.
FastAPI upload primitives
UploadFile, streaming bodies, and cleanup patterns. The building blocks for every endpoint.
Validation
Sniff real content types and reject oversized bodies before they hurt you.
Real-world pipelines
Wire validated uploads into Whisper, a vision LLM, and a Docling plus FAISS pipeline.
Ship it
Progress reporting, resumable uploads, and the final checkpoint before you deploy.
Who it's for
who have shipped FastAPI endpoints but never a file upload that stays clean under real traffic
wiring Whisper, vision LLMs, or Docling into production and tired of orphaned temp files
who copy upload code from Stack Overflow and hope the server survives a 50 MB PDF
FAQ
You should have run a FastAPI hello-world and understand async/await. We do not teach routing or Pydantic basics here. If you need the foundation first, take the Python for GenAI course.
The real-world pipeline scenes use them as the downstream consumer, but the upload patterns work with any heavy processor. You can follow along by stubbing the LLM call with time.sleep if you do not want to install the full stack.
The focus is on the FastAPI side: reading the request, validating it, writing to a temp path. Once the bytes are on disk, the upload to S3 or any object store is a one-liner with boto3. We cover that pattern briefly but do not build a full cloud pipeline.
The patterns work for files up to a few hundred MB without special infrastructure. For multi-GB files, you want resumable uploads with chunking, which we introduce at the end as a primer.
Pricing
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Still deciding? Ask Param a question
Upload plumbing is not glamorous. It is also where most AI apps quietly break.
Handling file uploads with FastAPI
$29 one-time