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Courses

Learn the engineering behind production AI and data platforms.

Three complete courses written by our engineers. Each lesson has a reading, a diagram, a knowledge check and a hands-on lab, and every course ends with a final project.

Browse the coursesSee the learning paths

01 / Courses

Choose a course

Start anywhere. Each course lists what it assumes, so you can pick the one that fits where you are.

  • Advanced
  • about 6 h
  • 8 lessons

AI agents in production

Tools, memory, evaluation, guardrails, cost and operations, with the model of your choice

You will learn to

  • Design a bounded agent loop with scoped tools and human approval
  • Separate session state from long-term memory and delete both on request
  • Build an evaluation set, check LLM judges against people and gate releases on it
  • Defend against prompt injection in layers and test the attacks

Start courseView course: AI agents in production

8 knowledge checks · 8 labs

  • Intermediate
  • about 6 h
  • 7 lessons

Databricks data engineering foundations

From the lakehouse to governed pipelines you deploy as code

You will learn to

  • Design bronze, silver and gold layers and map them to Unity Catalog names
  • Choose Auto Loader or Lakeflow Connect per source and handle schema changes
  • Build a declarative pipeline with expectations that warn, drop or fail
  • Orchestrate it with a job that has triggers, dependencies and a reconciliation gate

Start courseView course: Databricks data engineering foundations

7 knowledge checks · 7 labs

  • Intermediate
  • about 5 h
  • 7 lessons

Governance with Unity Catalog

Identity, privileges, policies, evidence, sharing and governance as code

You will learn to

  • Model assets as securable objects in a catalog.schema.object namespace with group owners
  • Set up identity with Entra ID groups, service principals and eligible admin roles
  • Apply the reader and contributor group per schema pattern with the right privileges
  • Use row filters, column masks and ABAC policies and know their limits

Start courseView course: Governance with Unity Catalog

7 knowledge checks · 7 labs

02 / How it works

How a course works

Every lesson follows the same rhythm, so you always know what comes next.

  1. 01

    Read

    A focused lesson of about 20 minutes of reading, with a diagram of the idea.

  2. 02

    Check

    A knowledge check with feedback on every answer, so you find the gaps while the lesson is fresh.

  3. 03

    Build

    A hands-on lab you can run on Databricks Free Edition or on your own machine, with the expected result.

  4. 04

    Go deeper

    Official documentation, recommended external courses and related NexOps articles.

  5. 05

    Finish

    A final project that applies the whole course, with a list of what good looks like.

Learn with your team

Next step

Want your team to learn this together?

We give workshops to company teams and students, on-site or online. Tell us who the participants are and what they should be able to do afterwards.

Book a callSend a messageor email info@nexops.nl directly

Accepting projects for Q4 2026