AI-Assisted Coding

19 oktober, 2026 – Amsterdam, The Netherlands

1 dag
In Person
Data Engineering

Your AI assistant writes code quickly. It also guesses about your project, and it never tells you it guessed. This one-day course turns an AI coding assistant from unpredictable autocomplete into something you can direct, check and rely on. You work in Claude Code on a real Python codebase, and you leave with habits that hold up whichever assistant your team uses.

Book this training

Registreer je nu

Looking to upskill your team(s) or organization? 

Juanette will gladly help you further with custom training solutions.

Get in touch

Duur

1 dag

Tijd

09:00 – 17:00 (GMT +2:00)

Taal

Engels

Lunch

Included

Certificering

Nee

Level

Professional

What will you learn?

After the training, you will be able to:

Explain what an AI coding assistant can and cannot see in your project, and predict where it will quietly guess.

Review AI-generated code critically and verify it before you accept it.

Write prompts that scope the change, state the criteria and define what done means.

Automate repeated instructions and checks so your conventions are applied without anyone having to remember them.

Engineer the context an assistant works from, including a project instruction file your whole team can rely on.

Judge where AI genuinely speeds up delivery, using what the research measures rather than what the vendors claim.

Program

Short theory blocks alternate with hands-on exercises, four of them across the day. You work on a real Python project in your own editor, and every technique is practised before the block ends.

  • Foundations
  • Prompting that does not guess
  • Context engineering
  • Making it work your way

This training is for you if:

You already use an AI coding assistant on real work and keep finding it unreliable on your own codebase.

You want to move past autocomplete and start directing the assistant deliberately.

You work in Python and want habits that hold up on code other people depend on.

This training is not for you if:

You want to build AI agents or LLM applications rather than use an assistant on your own code (see LLMs & Agentic AI for Developers instead).

You want to learn how to transform notebook code into production-ready code (check out our Production-Ready Machine Learning course instead)

You cannot install and use an AI coding assistant on the machine you will bring.

Why should I follow this training?

Practise on real code, not slides. Four hands-on exercises in one day, all on a working Python project with real bugs in it.

Leave with something you keep. You write a project instruction file and build your own reusable commands and checks, and you take them back to your own repository.

Get an honest picture. We cover what the productivity research actually measures, so you can set realistic expectations with your team instead of quoting a vendor number.

What else
should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.

See you soon!

All literature and course materials are included in the price. 

After registering for this course, you will receive a confirmation email with practical information.  

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Frequently Asked Questions

Optimizing Apache Spark & Tuning Best Practices

19 oktober, 2026 – Amsterdam, The Netherlands

1 dag
In Person
Data Engineering

As data scales up, efficiently processing data becomes more crucial. Building on our experience as one of the world’s most significant Apache Spark users, this 2-day course provides an in-depth overview of the do’s and don’ts of one of the most popular analytics engines available. 

Book this training

Registreer je nu

Looking to upskill your team(s) or organization? 

Rozaliia will gladly help you further with custom training solutions. 

Get in touch

Duur

1 dag

Tijd

09:00 – 17:00 (GMT +2:00)

Taal

Engels

Lunch

Included

Certificering

Nee

Level

Professional

What will you learn?

After the training, you will be able to:

Explain what Apache Spark does under the hood.

Use best practices to write performant code.

Read and understand the query plans for your Spark applications.

Explain the Spark fundamentals, including the execution model: Driver/Executors.

Efficiently work with caching, shuffle service, and fair scheduling.

Troubleshoot optimization problems and memory issues.

Program

The trainer facilitates the content using notebooks hosted in a cloud environment. Each participant will have a Spark cluster to experiment with. 

  • Download & understand dataset used during training
  • Theory about various Spark basics and Spark UI
  • Apply optimisations in practice

This training is for you if:

You are comfortable using Spark but want to learn how optimizations can be applied to improve runtime

You want to learn how Spark works fundamentally – from text, to plan, to execution.

You are comfortable using Python.

This training is not for you if:

You don’t use Python with Spark (PySpark)

You want to learn how to transform notebook code into production-ready code (check out our Production-Ready Machine Learning course instead)

You want to learn how to use Databricks (this course is based on open-source Spark and is applicable to Databricks, but we are not covering Databricks concepts such as Jobs, Notebooks, Sharing, Repos, connectors, Databricks-Runtimes, etc.)

Why should I follow this training?

 Learn about Apache Spark, using best practices to write performant code and tweaking and debugging Spark applications. 

Grasp the Spark fundamentals, including the execution model: Driver/Executors, caching, shuffle service, and fair scheduling. 

Learn from and network with Apache Spark data experts. 

What else
should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.

See you soon!

All literature and course materials are included in the price. 

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