Backend
Async AI Job Queue
Build a queue where users submit long AI tasks — document analysis, batch summarization — and poll for results. Handle failures, retries, dead letters, and status webhooks.
365 days access
Intermediate
Total Fee₹149
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Project Overview
Build a queue where users submit long AI tasks — document analysis, batch summarization — and poll for results. Handle failures, retries, dead letters, and status webhooks.
You will learn to:
- Understand the job queue pattern and when to use async processing
- Set up and connect Celery with Redis as a message broker
- Build APIs for job submission, status polling, and result retrieval
- Implement automatic retries with exponential backoff for failed tasks
- Diagnose and handle edge cases: stale running jobs, partial failures
Technologies You'll Use
pythoncssjavascript
What's Included
- Detailed Project Requirements
- Implementation Milestones
- Submission Checklist
- Review Guidance
- Certificate of Completion