Personalized AI Experiences with RAG & Agents
Build AI that knows your users, remembers their history, and anticipates their needs.
Escape the generic chatbot trap. This course teaches you how to build AI systems that provide truly 'magical' experiences by deeply understanding user context, maintaining long-term memory, and adapting dynamically to individual vibes and needs.
Escape the Generic
Most AI wrappers perform exactly the same for every user. Learn how to create sticky products that feel "magical" because they truly know the user. Personalization directly correlates to lower churn and higher user satisfaction.
What You Will Master
Curriculum Syllabus
Hands-On Capstone Project
Project: "The Concierge"
Build a Personal Travel & Lifestyle Assistant that demonstrates onboarding, stateful memory across sessions, user-weighted RAG, and multi-agent tool usage in a variety of communication tones.
The Concierge
Build a Personal Travel & Lifestyle Assistant that remembers preferences and suggests tailored itineraries.
Dynamic Style Mirror
An AI agent that automatically adapts its communication style and format to match the user's vibe.
Safe Memory System
A memory architecture that automatically scrubs PII and supports 'Right to be Forgotten' requests.
Frequently Asked Questions
Celoris Designs
Celoris Designs
Pioneers in Agentic Personalization
Bridging the gap between generic AI and truly personalized user experiences. We focus on building systems that feel human-like and contextually aware.
Target Profile
- Proficiency in Python
- Familiarity with LLM APIs (OpenAI/Anthropic)
- Basic understanding of vector databases (Pinecone, Weaviate, etc.)
- Desire to build next-generation personalized AI products

