AI Workshop:
Hosting and Understanding LLMs Yourself
In our hands-on AI workshop, learn how a modern LLM stack is structured—from the chat interface to model operation to integrating your own data. You’ll understand all the components needed to host AI language models yourself securely and in compliance with the GDPR.
- NEW to the portfolio
- Nuremberg
- Open Source Experts
Location & Duration
2 days | Nuremberg
In-House Training
Bring NETWAYS open-source experts right into your company.
Here’s what you’ll take away from this AI workshop
After the AI workshop, you’ll be familiar with the key terms and building blocks of AI infrastructure and know how to build your own stack without your data ever leaving your organization.
- NThe LLM Roadmap: You'll understand which components make up an LLM stack and how they work together.
- NHow to Run AI Locally: With Ollama, you can load and test models in just a few minutes—without any cloud connection.
- NProductive Model Deployment: You determine when vLLM is a better choice than Ollama and what hardware is required.
- NOpen WebUI as the central interface: You're surely familiar with users, permissions, and model access for teams.
- NIntegrate Your Own Knowledge with RAG: You incorporate internal documents into the model using embeddings and a vector database.
- NTools & Web Search via MCP: You know how models use external systems and web search via the Model Context Protocol.
Who is this AI workshop intended for?
Our AI workshop is for you if you want to implement AI in your company or evaluate it thoroughly—whether you want to host an LLM yourself or simply want to understand what options are available.
Typical Participants
- Head of IT
- System Administrators
- Developer
- DevOps Engineer
- Data Protection and Security Officers
Requirements
AI Workshop
- Basic IT skills and confidence using a computer
- Knowledge of the command line and containers (Docker) is helpful
- No prior knowledge of AI or LLMs is required. This AI workshop starts with the basics.
The AI workshop is right for you if …
… you want to use AI without sharing your data
Instead of sending sensitive information to external providers, you’ll learn how to run an LLM on-premises.
… you want to understand the jungle of terms—
, Ollama, vLLM, RAG, MCP, embeddings—you know what these terms mean and how to use them.
… you’re looking for information to help you make a decision
You can then make an informed assessment of which stack is right for your company and how much it costs.
Content and Practical Examples for Your AI Workshop
Fundamentals & Model
- On-Premises vs. the Cloud: Data Protection, GDPR, Cost Control
- LLM Basics: Tokens, Context Window, Parameters, Quantization
- The Stack Map: Interface, Model Serving, Data Integration
- Running an LLM Locally with Ollama
- Scaling with vLLM: GPU Requirements and Throughput
- Model Selection: Open-Weight Models and Licenses
User Interface, Custom Data & Tools
- Open WebUI: Users, Permissions, Model Access
- RAG: Incorporating Your Own Knowledge Using Embeddings and Vector Databases
- MCP (Model Context Protocol): Integrating Tools and Context
- Effectively Combining Web Search and Online Models
- Planning Your Own Stack: Architecture and Hardware
- Outlook: Security and Production Operations
Dates
Preferred Date
Unfortunately, you’re not available on those dates, but would you still like to attend our AI workshop? Then just let us know which date would work best for you. Let us know your preferred date!
Investing in Your Professional Development
Your AI workshop includes workshop materials and many hands-on exercises using virtual machines and central AI models.
Attractive group discounts for teams
You can start saving big with as few as 2 participants. Savings of up to 25% per person are possible.
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Just the Two of Us
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The Three of Us
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The Four of Us
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The Five of Us
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Six and Up
Learn from experienced open-source experts
Our trainers regularly work on software and client projects involving AI infrastructure, Open WebUI, and local LLMs.
Learn open source hands-on with BerndIn our training courses, you learn from experienced professionals and put your new skills into practice right away.FAQ ABOUT THE AI WORKSHOP
Do you have any questions? Here are the most common answers.
What will I learn in the AI workshop?
You'll learn about the entire LLM stack, from the Open WebUI chat interface to model deployment with Ollama and vLLM, all the way to integrating your own data via RAG and external tools via MCP. By the end, you'll know how to host AI language models yourself securely and in compliance with the GDPR.
Do I need any prior knowledge of AI or programming to participate in the AI workshop?
No. The workshop is intentionally open to participants with less technical background as well. Basic IT knowledge is sufficient; we'll explain all the terms from the ground up.
Do I need to have my own GPU or hardware for the AI workshop?
No. The hands-on exercises run on preconfigured virtual machines in the NETWAYS training environment. The use of GPUs, for example in vLLM, is discussed from a theoretical perspective.
How are the hands-on exercises conducted in the AI workshop?
On dedicated virtual machines in the NETWAYS training environment. The instructor introduces the topic, you work on practical exercises, and then you discuss the results together. There is a sample solution for each exercise in the handout. In addition, you'll use central models from NETWAYS Web Services to integrate even larger models.
What should I know about the AI workshop in Nuremberg?
After registering, you'll receive two hotel recommendations with special rates, as well as all the important information about getting there and parking options. The price includes:
- Daily Lunch
- Morning and afternoon breaks with a variety of food options
- A group dinner on the first day
How many participants are there per AI workshop?
The workshop is limited to a maximum of 14 participants to ensure personalized attention and ample opportunity for individual questions.
Can I continue to use the practice environment after the AI workshop?
No, the practice environment is available only during the workshop.
What prior knowledge is required for the AI workshop?
The recommended prerequisites are listed in the respective course description under “Who is this AI workshop intended for?”—it’s best to take a quick look at this before registering.
What materials will I receive after the AI workshop?
You will receive a certificate of participation via email, along with the workshop materials as a PDF, including all sample solutions.
Can I cancel, reschedule, or send a substitute participant for the AI workshop?
Cancellations are accepted up to 60 days before the workshop begins, subject to a cancellation fee of €100 plus VAT may apply. After that, unfortunately, cancellations are not permitted. Prevented in the short term? No problem—you can send a substitute to the workshop at any time.
Ready to get started with AI infrastructure?
Sign up today—the upcoming sessions are filling up fast.
