Advanced Django: External APIs and Task Queuing

Codio addresses work that should not be handled entirely inside a page request. External API access leads into task queuing with Celery and Redis, followed by a capstone that combines the sequence’s Django skills. The provider estimates about nine hours.

What you will learn

• Request and handle data from an external API.
• Schedule background work using Celery and Redis.
• Combine API access and queued processing in a Django project.

Who this suits

Experienced Django learners who want to add integrations or background processing.

Before you enroll

The course is advanced and expects an existing Django foundation. Plan for the additional services used by the queue and consider retries when an upstream API fails.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Tool subscriptions, model API usage and cloud services may cost extra.

Put it into practice

Queue a fictional report-generation task. Test an unavailable upstream service, a duplicate request and a worker restart, then document how the user sees task progress.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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