AI-Driven Fraud Claims Predictions
Ideal for Insurance & claims Professionals
WAIG Foundation X AIforAll Global Bootcam
Only for € 250 € 25
March 14, 2026 9:00 am
March 15, 2026 5:00 pm
Mode
Online on Zoom
Language
English
Limited Seats - Hurry Up
Is This Bootcamp For You?
This bootcamp is designed for people who are tired of just chatting with AI and want to start building with it:
Insurance & claims professionals
who want to use AI
Fraud analytics teams
who want to use AI
Risk & compliance officers
who want to use AI
InsurTech founders
who want to use AI
What You'll Be Able to Do After Three Hours
By the end of this bootcamp, you won’t just “understand” AI — you’ll have built with it.
Master AI Essentials
Understand how models, embeddings, and VectorDBs actually work together to power modern AI apps.
Run powerful local LLMs
Use Docker, Ollama, and DeepSeek-R1 to run models locally so you’re not fully dependent on cloud APIs.
Create a RAG demo from your own data
Build an RAG pipeline that can answer questions from your PDFs / documents.
Unlock agentic AI workflows
Use frameworks like Agno, CrewAI and MCP to orchestrate multi-step, tool-using agents.
Walk away with a finished project
You’ll have a working AI project that you can improve, show to clients, or use as a portfolio piece.
Only for € 250 € 25
Bootcamp Schedule (3 Hours, Live)
Part 1 – Fraud Risk Detection
- Fraud Risk Landscape in Auto Insurance
- AI Model Development
- Digital Transformation Architecture
Part 2 – Fraud Prediction
- Responsible & Governed AI
- Practical Implementation Lab
Hour 1 – Foundations & Setup
- AI essentials: models, tokens, embeddings, VectorDBs (no fluff, just what you need)
- Local LLMs with Docker & Ollama
- Getting DeepSeek-R1 running locally
- Quick checks so everyone is set up
How This Bootcamp Is Different
Two-Part Live Experience
No pre-recorded content. You work live with guidance from leading global industry experts.
No-Code, Business-Ready Approach
Designed for technical as well as non-technical professionals — focused on outcomes, not tools for tools’ sake.
Hands-On Creation
Hands-on fraud prediction case studies
Real-world Scenarios
Examples you can adapt to your job, freelancing, or startup.
Clear Roadmap
You leave with a next-step learning & project plan, not confusion.
What You Will Walk Away With
Deliverables
AI-augmented insight brief and executive-ready deck
Professional portfolio website and branding assets
Explainer video and LinkedIn thought content
Case study toolkit & reference materials
Certificate of Completion
You’ll also get a checklist of all tools & commands used during the session so you can redo everything on your own later.
FAQs.
A basic level of technical comfort helps (running commands, editing config files, etc.), but you don’t need to be a senior developer. If you’ve ever followed a tech tutorial before, you’ll be okay.
We’ll primarily work with:
Ollama & Docker (for running local LLMs)
DeepSeek-R1 (as a model example)
A VectorDB setup (for embeddings & retrieval)
Agno, CrewAI & MCP (for agent workflows)
You’ll receive a tool checklist before the session so you can install things in advance.
A modern laptop with at least 16GB RAM is recommended. For heavier models, we’ll also show options to run smaller models or use cloud setups.
Yes, the session will be recorded and made available for 45 days after the bootcamp.
You’ll get the code snippets / commands / structure so you can rebuild the project at your own pace.
Tickets are non-refundable, but you can transfer your seat to another person.
Ready to Turn Claims Into Verified Decisions?
Fraud detection is no longer a manual review function, it is a data science and governance challenge. Organizations that combine predictive analytics with structured AI governance frameworks gain measurable advantage in operational efficiency, compliance readiness, and trust building.
Click The Registration & Payment Link Below
