Opleiding Local large language model specialist (online AB English)
Become the AI professional who can design, deploy and govern secure AI systems inside real organisations.
Build private AI systems with Local LLMs, RAG & AI Agents. Without sending your company data to the cloud. This hands-on online training teaches you how to build production-ready AI solutions using local Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent workflows and hybrid AI architectures — fully aligned with GDPR and the EU AI Act.
You will not build toy demos. You will build a realistic enterprise AI project step by step throughout the course.
Based on a complete end-to-end onboarding automation scenario (“WelcomeFlow”), you learn how modern AI systems are actually designed inside SMEs and enterprise environments today. For more information and registrations please contact our colleagues at Syntra AB: Local large language model specialist.
Programma
Online learning experience: This is a fully online, instructor-led training. The first and final lesson take place physically on campus in Antwerp. The campus is easily accessible by public transport and is located right next to Antwerpen-Berchem railway station.
- Module 1 — Foundations of Local & Hybrid AI Learn: The AI landscape in 2026 Local vs cloud vs hybrid AI GDPR-first AI decision making AI model evaluation LM Studio Docker fundamentals AI infrastructure concepts ROI-driven AI architecture decisions You will understand: Why fully local AI is not always optimal Why fully cloud AI is often risky How modern organisations combine both.
- Module 2 — RAG & AI Agent Orchestration Learn: Retrieval-Augmented Generation (RAG) Vector databases with Qdrant Embeddings and semantic search Dify workflows MCP (Model Context Protocol) AI agents and tool calling Multi-agent systems Human-in-the-loop approvals AI workflow debugging Retrieval quality optimisation You build: A complete multi-agent onboarding platform Connected AI systems with external tools Production-style AI pipelines.
- Module 3 — Compliance, Fine-Tuning & AI Governance Learn: EU AI Act risk classification AI System Cards DPIA creation Audit trails AI governance workflows Local model fine-tuning LoRA and QLoRA concepts Operational AI responsibility inside organisations You finish with: A defendable enterprise AI project Full compliance documentation A realistic deployment architecture Technology Stack You work hands-on with: LM Studio Dify Qdrant Docker Desktop bge-m3 embedding models Unsloth Studio (fine-tuning) The course focuses on practical understanding instead of theory overload.
- Final Project & Defence: At the end of the course, you present your own AI implementation project. You apply the same architecture principles to: Your company Your department Your own operational use case The final defence includes: Technical architecture Compliance reasoning AI governance decisions Deployment strategy Human oversight design.
For more information and registrations please contact our colleagues at Syntra AB: Local large language model specialist.
Voor wie
This course is ideal for:
- IT professionals
- AI project leads
- Technical consultants
- Innovation managers Data & automation professionals
- Internal AI champions Solution architects SME technology decision makers
Especially valuable for organisations that:
- Cannot send sensitive data to public AI platforms
- Need GDPR-compliant AI workflows
- Want to deploy private AI internally
- Need practical AI governance knowledge
- Want to understand local AI infrastructure
Prerequisites:
You do not need programming experience.
You should:
- Be comfortable with IT concepts
- Be willing to work hands-on
- Have a modern laptop capable of running Docker and local models
Extra info
The online edition was specifically redesigned for remote learning with:
- Guided setup sessions
- Interactive checkpoints
- Live troubleshooting
- Prebuilt training environments
- Recorded sessions
- Structured peer feedback
- Incremental project milestones
During your training, you are free to use AI tools as support for learning and practice. We believe it is important that you learn how to work with AI in the same way it is used in the professional field, especially within IT-related programmes where it has become an essential part of the workflow.
You are expected to use your own AI subscription. Any additional costs, such as AI credits required by certain tools, are at your own expense. Please refer to our AI policy for full details.
The course itself is taught in English. However, administrative communication such as emails, official letters and certificates will be provided in Dutch.
Our online classes are delivered as live sessions only — no recordings are made, including in cases of absence or illness. This is a deliberate choice, as active participation and interaction are essential for properly understanding and applying the course material.
Attendance during lessons is therefore important and has a direct impact on both your learning progress and your final project.
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