AI SoftwareNew course
RAG & LLM Applications in Production
Build retrieval-augmented AI systems that are accurate, observable and ready for real users.
- Level
- Advanced
- Duration
- 6 weeks · ~40 hours
Self-pacedLive cohort
$549View course
Supporting skill
Data Engineering for AI
AI is only as good as the data behind it.
Overview
Every reliable AI system rests on good data: documents that are collected, cleaned, organised and kept up to date. Data is at the heart of Daniel's career — from data engineering to business data analysis.
This area covers the data skills that make your AI builds work better — from preparing documents for chatbots to building simple, dependable data pipelines.
Tools & technologies
- Python
- SQL
- pandas
- Airflow
- dbt
- Postgres
- pgvector
- Supabase
What you can build & sell
What businesses use Data for AI for
Chatbot knowledge base
Turning a business's documents into a clean, searchable knowledge base.
Automatic data refresh
Pipelines that keep AI knowledge current without manual work.
Data clean-up
Fixing messy spreadsheets and records so automations run smoothly.
Learn it
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Book a free discovery call — we'll map the fastest path from where you are now to your first paying client.