Free course

Cloudflare Workers Course

Build and operate a Worker application with Hono, static assets, bindings, D1, KV, R2, Queues, scheduled work, Durable Objects, tests, logs, and safe deployments.

5 modules · 25 lessons · No signup

Prerequisites: JavaScript, TypeScript, HTTP and Web APIs

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What you'll learn

Build, test, deploy, observe, and recover Link Vault, a full Worker application using the right Cloudflare capability for each job.

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Course contents

  1. Workers foundations

    Understand isolates, create the project, handle requests, and use Wrangler deliberately.

    1. ✓ Understand the Workers runtime
    2. ✓ Create the Link Vault project
    3. ✓ Handle the first request
    4. ✓ Use Wrangler development tools
    5. ✓ Check your understanding: workers foundations

  2. Routing and configuration

    Reuse Hono, configure typed bindings, separate secrets, and serve static assets.

    1. ✓ Reuse Hono routes
    2. ✓ Configure bindings and types
    3. ✓ Separate variables and secrets
    4. ✓ Serve static assets
    5. ✓ Check your understanding: routing and configuration

  3. Storage bindings

    Store relational data in D1, cache with KV, export to R2, and choose storage well.

    1. ✓ Store links in D1
    2. ✓ Cache read-heavy data in KV
    3. ✓ Store exports in R2
    4. ✓ Choose the right storage product
    5. ✓ Check your understanding: storage bindings

  4. State and background work

    Use waitUntil, Queues, Cron Triggers, and Durable Objects for the jobs they fit.

    1. ✓ Defer small work with waitUntil
    2. ✓ Process exports with Queues
    3. ✓ Run scheduled maintenance
    4. ✓ Coordinate with Durable Objects
    5. ✓ Check your understanding: state and background work

  5. Production and deployment

    Test the runtime, add observability, deploy compatibly, roll back, and review production.

    1. ✓ Test with the Workers runtime
    2. ✓ Add observability
    3. ✓ Deploy, migrate, and roll back
    4. ✓ Complete the production review
    5. ✓ Check your understanding: production and deployment