TimescaleDB Course – PostgreSQL for Time-Series Data — Opportunihub
Course Remote

TimescaleDB Course – PostgreSQL for Time-Series Data

Beau Carnes · Remote

At a glance

Type
Course
Organisation
Beau Carnes
Location
Remote
Work mode
Remote
Deadline
Rolling / not stated
Posted
24 Sep 2026

About this course

<p>Managing massive, rapidly growing datasets efficiently is a critical skill for modern developers. Whether you are tracking API request logs, monitoring IoT fleet telemetry, or building dashboards for AI agents, unoptimized time-series data can quickly slow standard PostgreSQL queries to a crawl. We just posted a new course on the freeCodeCamp.org YouTube channel that will teach you all about TimescaleDB</p> <p>You'll get hands-on experience with TimescaleDB in this course, discovering how to upgrade PostgreSQL into an optimized time-series database. You will learn to optimize query speeds, drastically reduce storage footprints, and ensure your dashboards stay fast at scale.</p> <p>Key concepts and hands-on projects include:</p> <ul> <li><p><strong>Hypertables &amp; Chunk Management</strong><br>Learn how TimescaleDB automatically partitions your data by time to speed up queries and streamline data retention without painful row deletions.</p> </li> <li><p><strong>Columnar Storage &amp; Compression</strong><br>Discover how converting older row data into column-oriented batches can shrink your database size by over 90% and massively speed up analytical queries.</p> </li> <li><p><strong>Continuous Aggregates</strong><br>Stop recalculating identical data! You'll build incremental, automatically updating materialized views (and aggregate "ladders") that keep dashboards returning results in milliseconds.</p> </li> <li><p><strong>Hyperfunctions &amp; Gap Filling</strong><br>Master specialized time-series functions for calculating percentiles, distinct counts, handling counter resets, and smoothing out data gaps for clean frontend charting.</p> </li> <li><p><strong>Data Tiering &amp; Vector Search</strong><br>Explore moving older, cold data out of expensive local SSDs into cheaper S3 object storage seamlessly, and see how to combine standard time-series queries with AI vector search.</p> </li> </ul> <p>The course walks you through building two complete, production-ready projects from scratch:</p> <ol> <li><p><strong>An AI Agent Flight Recorder</strong><br>Track millions of language model inferences, tool calls, costs, and latencies locally in Docker.</p> </li> <li><p><strong>An EV Charger Fleet Telemetry System</strong><br>Monitor 2,000 devices reporting every 10 seconds, deployed directly on the fully-managed Tiger Cloud platform.</p> </li> </ol> <p><a href="https://youtu.be/gYTA8nQN030?utm_source=gemini"><strong>Watch the full TimescaleDB Course on the freeCodeCamp.org YouTube channel</strong></a> <strong>(4-hour watch).</strong></p> <div class="embed-wrapper"><iframe width="560" height="315" src="https://www.youtube.com/embed/gYTA8nQN030" style="aspect-ratio: 16 / 9; width: 100%; height: auto;" title="YouTube video player" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen="" loading="lazy"></iframe></div>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Beau Carnes’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Frequently asked questions

How do I apply for TimescaleDB Course – PostgreSQL for Time-Series Data?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Beau Carnes’s official page.

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