Skip to main content
We believe that every user should be able to self-educate at any point in time. That’s why we’ve uploaded all our workshops here with full recordings, so new users can get up to speed quickly and existing users can revisit sessions whenever they need clarity or want to refresh their knowledge. This way, you’re never stuck waiting for the next training session when you have a question. You can always reference the real examples and best practices we share in these workshops.

​
Workshop #1 - Let’s get started using AI

In this workshop, we cover the fundamentals of getting started with Langdock. You’ll discover your first practical AI use cases, explore the key Chat features that will boost your productivity, and learn how to save your best prompts in the prompt library so you can reuse them instantly. By the end, you’ll have a solid foundation for using AI effectively in your daily work.
You can also open the workshop video here:

​
Workshop #2 - How to build AI agents

In this workshop, we’ll dive into building effective AI agents. We’ll start by breaking down the key elements of a well-crafted prompt, then show you how to apply these principles as instructions for your AI agents to get consistent, high-quality results. By the end, you’ll know how to create agents that work reliably for your specific use cases.
You can also open the workshop video here:

​
Workshop #3 - How to find your AI Use Cases

This workshop helps you identify the right use cases for AI in your daily work. Sometimes it’s challenging to spot which tasks can be automated or enhanced by AI, especially when you’re deep in your routine processes. We’ll walk you through a practical framework for evaluating your workflows and show you real examples of how others have successfully integrated AI into similar roles.
You can also open the workshop video here:

​
Workshop #4 - Prompt Engineering 101

This workshop focuses on advanced prompting techniques. Once you’ve built your first agents, saved your initial prompts, and identified your use cases, the next step is improving their output quality. This is where prompt engineering becomes crucial. You’ll learn proven techniques for better prompting, specific methods to enhance output quality, and get a behind-the-scenes look at how your prompts are actually processed by the AI models.
You can also open the workshop video here: