We firmly believe that data and AI will have a positive impact on our lives when core competencies are widely accessible and not limited to just a few organizations. To promote self-directed learning, key contents of our courses are made available in the form of tutorials, open webinars, and masterclasses - in line with our mission to democratize modern technologies, promote open source, and contribute to a world where technology aligns with our values and the benefit of all.
AI & Automation
Foundation Level
Many AI tasks do not require superintelligence; on the contrary, they can be performed by a simple AI that you can download for free onto your computer. Using a local chatbot is an excellent solution for working securely with confidential information or documents containing personal data; it’s the most cost-effective way to use AI and protects your digital independence. Furthermore, it’s the first step toward creating customized AI solutions for increasingly complex tasks.
Developer Level
This tutorial is part of the Data & Cloud Academy AI-Automation Curriculum. It is designed for Python developers looking to build LLM workflows using LangChain (the industry-standard orchestration framework) and Ollama (for local model deployment). It demonstrates step by step the configuration of an Intelligent Document Processing (IDP) Pipeline. The workflow is divided into four notebooks, which explain architectural decisions and technologies and provide students with hands-on tasks for configuring and optimizing an IDP extractor.
Cloud Engineering (AWS & STACKIT)
Foundation Level
In this tutorial you will configurate step by step a virtual machine with a webserver that displays a internet accesible test_website. If you are familiar with other cloud providers like AWS or Azure, this standard task provides a good way to compare basic caracteristics. For audience without cloud competence, it is a perfect way to start the journey. The tutorial provides a detailed console walkthough, explaining every click on the way, and introducing or refreshing by the way some basic concepts for cloud computing.
Developer Level
This tutorial recreates the configuration of a serverless ETL pipeline to validate, transform, compress, and partition large csv dataset for performance and cost optimization, offered by AWS in their prescriptive-guidance section.he oficial AWS Tutorial deploys the pipeline with AWS Cloud Formation as Infrastructure as Code (Ioc).This is great for production, but not for learning. In this tutorial, the pipeline is build step by step in order to get to know how the related services work. To facilitate the build, elements like lambda functions and IAM Roles are simplified.