AI Programming for Experts

Master the latest AI technologies and become an architect of autonomous systems! This intensive AI training course for experts will bring you up to date with the latest developments in AI. From transformer architecture and fine-tuning large language models to autonomous multi-agent systems, we cover current use cases and AI implementations.

You will not only implement modern LLMs with PyTorch, but also specialize them with LoRA/QLoRA, build production-ready RAG pipelines and finally develop autonomous agent systems. With numerous hands-on exercises and real use cases, you will become fit for the conception and implementation of advanced AI solutions in your company. Actively shape the AI-driven future of your organization!

This practice-oriented AI workshop provides practical examples of how to implement modern AI projects, giving you the opportunity to familiarize yourself with this exciting topic.

• Understanding and implementing AI architecture
• Transformers, self-attention, and comparing classic ML vs. LLMs in practice
• Mastering open-source LLMs
• Hands-on with Llama, Qwen, Mistral, and Mixtral; deployment with Ollama and vLLM
• Understanding license models and building core components yourself with PyTorch
• Specializing models in a targeted manner – parameter-efficient fine-tuning with LoRA & QLoRA
• Behavior control through RLHF and DPO, MLOps with Hugging Face & MLflow
• Intelligent knowledge integration – production-ready RAG pipelines with LangGraph and LlamaIndex
• Hybrid search with vector databases
• Graph RAG with Neo4j and modern graph databases
• Systematic evaluation with RAGAs
• Developing agents with Langchain and N8n
• Multi-agent architectures with LangGraph/Autogen/CrewAITool usage
• Developing hierarchical teams
• Model Control Protocol (MCP)

This AI training course is designed for developers and data scientists who want to master the leap to modern AI technologies. It is also perfect for anyone who wants to drive forward the next generation of AI solutions in their company as an AI expert and needs a sound technical understanding to do so.

You are confident in programming in Python and have already had your first contact with machine learning. You can acquire this knowledge in the following courses:

Machine Learning - Data Science and Artificial Intelligence

Applied AI - Industry Use Cases

Advanced ChatGPT - Programming agentic AI and API use cases

First experience with deep learning (e.g. through PyTorch, Tensorflow or with Hugging Face) is recommended. You don't have to be an expert, but you should be familiar with how machine learning works

A basic understanding of the special features of large language models is helpful and can be acquired in the following courses, for example:

Large Language Models - ChatGPT, Gemini, Llama & Co.

ChatGPT - Programming & problem solving with AI support

Advanced ChatGPT - Programming agentic AI and API use cases

You will gain a deep understanding of the latest AI technologies and become an architect of autonomous AI systems. You will master the basics of Transformer architecture as well as the principles of fine-tuning large language models and developing multi-agent systems.

You will acquire the skills to implement modern LLMs with PyTorch, operate them with vLLM and Ollama and optimize them with LoRA/QLoRA. You will be able to develop production-ready RAG pipelines and autonomous multi-agent systems.

In addition, you will gain the skills to analyze, structure and solve more complex AI problems in practice.