Beschreibung
This new hands-on course shows you how Large Language Models can be used and combined with Tools and Patterns to build AI Agents.
Learning Goals:
- LLMs
- Retrieval Augmented Generation
- Workflows
- Agents
What you get
Ramp-up course for the new fascinating capabilities of LLMs and the emerging applications of AI Agents with LLMs as the control center.
Paths
Throughout the course we will build multiple different applications on different levels of difficulty.
There are severel tracks depending on your level of expertise:
"Taster" : You take the course only to get an overview grasp of the concepts
"Beginner": You do not have a lot of experience but want to build first prototypes
"Intermediate": You want to level up your already existing skills and knowledge
"Expert": You really want to deep dive in the materials both from practical as from a theoretical perspective
You can choose the path you want to take, so that the course is open for everybody interested in the topic. We achieve those different paths with more and more in depth learning materials and tasks for the more advanced paths. You are free to choose your path and change it during the semester
About the course instructor
Henrik Horst teaches Machine Learning courses at opencampus.sh since 5 years. Also he is a Generative AI course instructor at the Helmholtz Gesellschaft and the Wirtschaftsakademie Schleswig-Holstein. He works as CEO at WikiMind GmbH, an AI-Software company, and has carried out multiple AI projects there.
Guest speakers
There will be during the course some guest speakers invited to talk about their life as an AI engineer
What you should bring
Basic Programming Knowledge in Python!!
A prequisite is Python skills, if you are lacking those first take the course: Python Programming: Beginner to Practitionier
Otherwise that is all for the "Taster" and "Beginner" path. For the more advanced paths more programming and project experience is necessary and also familiarity with different software tools like git and docker.