Generative AI
Building AI Assistants & RAG Systems
A technical course building an AI assistant that answers from a private knowledge base, with accuracy measurement and hallucination control.
IntermediateOn campusHybrid4.9(64)
4,200SAR
- Start date
- 14 December 2026
- Duration
- 5 days · 30 training hours
- Seats
- 7 / 18
7 seats left
A one-minute introduction from the trainer
Added after the recording session
Your trainer
Eng. Abdullah Alzahrani
Large Language Models & RAG Systems
Built Arabic AI assistants for government entities and service companies; focused on rigorous output evaluation rather than demos.
8 years of experience
Course outline
day by day
1
Days 1–2: Retrieval foundations
- Vector databases
- Chunking Arabic documents
- Measuring retrieval quality
2
Days 3–4: Generation and controls
- Wiring retrieval into generation
- Source citation
- Guardrails
3
Day 5: Deployment and evaluation
- Deploying the assistant
- A real test set
- Cost monitoring
What will you build?
- A deployed assistant answering from your documents
- An accuracy evaluation report
- A cost monitoring view
Who is this course for?
- Developers building AI features
- Technical teams in the AI adoption phase
And who it is not for
- Non-programmers
Prerequisites
- • Strong Python
- • Basic understanding of APIs
Completion certificate
An accredited certificate with a QR verification code linking to your Thinkers Club profile.
INVEX
Accredited completion certificate
QRThe course includes
- 30 training hours
- Model usage credit
- An architecture review of your project
- An accredited certificate
Trainee reviews
We built an internal prototype the very next week, and the accuracy was measurable rather than guessed.
Yasser Aldosari
Tech Team Lead
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