Local Large Language Model Specialist (e-learning and in English)
Andere beschikbare opleidingsvormen
Local Large Language Model Specialist (e-learning and in English): waarom zou je deze avondopleiding volgen?
Become the AI professional who can design, deploy and govern secure AI systems inside real organisations.
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.
Why this course is different
Most AI courses focus on prompting ChatGPT.
This course focuses on AI architecture, deployment and governance.
You learn:
- How to run local LLMs securely
- When hybrid AI is better than cloud-only AI
- How RAG systems actually work in production
- How AI agents connect to external tools
- How to comply with GDPR and the EU AI Act
- How to build AI workflows that companies can really use
The course combines:
- Technical implementation
- AI strategy
- Compliance
- Architecture decisions
- Real-world operational thinking
No programming background is required, do bring your own modern laptop (strong gpu and cpu and no less than 16gig ram please, more is better).
Programma Local Large Language Model Specialist (e-learning and in English) in avondschool
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.
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.
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
Students never start from scratch during lessons.
Every session builds on a prepared environment to maximise learning efficiency.
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
Voor wie is deze opleiding Local Large Language Model Specialist (e-learning and in English)?
Doelgroep
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
A complete setup session is included before the first lesson.
Extra info
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.
Wat na de opleiding Local Large Language Model Specialist (e-learning and in English)
Prijs
| Excl | Incl | |
|---|---|---|
| Kostprijs voor deze opleiding | €1363.64 | €1650.00 |
Bespaar op je opleiding
We hebben alle kortingen en voordelen gebundeld op één handige pagina. Ga naar overzicht.
Kmo-portefeuille
Erkend dienstverlener
| MO* | KO** |
|---|---|
| €1090.91 | €954.55 |
* Middelgrote onderneming
** Kleine onderneming
Meer info vind je op onze pagina van de kmo-portefeuille.
Locatie & lesdata
De opleiding (of intake) zal doorgaan via virtuele klassen of webinars.
| Eerste jaar | Start | Einde | Duur | |
|---|---|---|---|---|
| maandag | 18:45 | 22:15 | 1 jaar |
Deze gegevens zijn informatief en wijzigen in uitzonderlijke gevallen. Neem contact met jouw campus bij vragen.
- € 1650,00
- 1 jaar (totaal 89u)
Heb je een vraag over deze opleiding?
De opleiding "Local Large Language Model Specialist (e-learning and in English)" is met zorg samengesteld door productmanager Stefan Van de Velde.
Heb je een vraag? Het klantencentrum helpt je verder.
Jobat info
Gemiddeld brutoloon
* afhankelijk van opleiding en ervaring
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Verschillende formules
Van 1 tot 3 jaar, avondschool, overdag of online, vrijstellingen op basis van voorkennis en ondersteuning voor (startende) ondernemers.
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Praktijkgericht
Hands-on met focus op praktijk, direct toepasbaar, les van vakexperten uit het bedrijfsleven, eigen praktijkateliers, eindproeven & stages.
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Erkend door Vlaamse overheid
Getuigschrift of diploma, Vlaams opleidingsverlof, opleidingscheques, betaald, educatief verlof en gratis opleidingen voor werkzoekenden i.s.m. VDAB.
