Train AI on your business data. Build a knowledge assistant that answers questions using your own FAQs, policies, and documents — not generic internet answers.
Each level builds on the previous one. Start where you are.
Learn what Retrieval-Augmented Generation (RAG) is, how to prepare your business data, and build your first no-code knowledge assistant that answers from your own documents.
What you'll learn:Build a structured business knowledge base in Notion, implement advanced RAG prompting, and create assistants that serve multiple use cases across your organisation.
What you'll learn:Go deep on RAG mechanics, build multi-source knowledge systems that draw from many data sources, and implement accuracy SLAs and a full Business Brain.
What you'll learn:The Knowledge AI Assistant series teaches you to build AI systems that are grounded in your own business data. Rather than relying on generic AI answers, you'll create assistants that know your specific products, policies, and processes — and can answer with accuracy.
Business owners, operations managers, customer service leads, and anyone who wants an AI assistant that gives accurate, company-specific answers rather than generic responses.
Self-paced, online learning. Work through interactive modules, exercises, and quizzes on your own schedule from any device.
Receive a PINC Courses certificate of completion for each level you complete.
Join our Facebook community — ask questions, share your work, and learn alongside other students.
No technical background needed for the Beginner level. The course uses no-code tools to get you started. Intermediate introduces some configuration, and Expert covers technical RAG concepts in accessible terms.
Yes — the Beginner level is free. Intermediate and Expert are each $20.00. Contact us about group or bundle discounts at pincinnovationcourses@gmail.com.
Lifetime access. Once you enrol, the course materials are yours to keep.
Refunds may be considered on a case-by-case basis at our sole discretion. Contact us within 7 days of purchase.