Course Format
14 modules covering memory fundamentals through advanced retrieval, graphs, protocols, and a capstone build. Full lesson content, code examples, and checkpoint questions.
Welcome to the Course
A structured 14-module course on agentic memory — from embeddings and RAG through memory operations, graphs, hybrid retrieval, and a hands-on capstone build.
Modules
14
0–13 structured
Completed
0
of 14 modules
Duration
10–12
weeks suggested
Prerequisites
- Comfortable with Python and basic API calls
- No ML background required — everything explained from scratch
Suggested Pace
~10–12 weeks at a steady pace (Modules 1–3 in weeks 1–2, one module per week after, Module 12 gets 2–3 weeks).
Learning Path
Explore by Level
All Modules
0→1→2→3→4→5→6→7→8→9→10→11→12→13→
Setup
Why Memory Is a Problem
Embeddings & Vector Search
RAG (Retrieval Augmented Generation)
Agent Memory Fundamentals
Memory Operations & Fact Extraction
Knowledge Graphs for Memory
Hybrid Retrieval
Protocols & Integration
Studying Production Systems
Advanced & Unsolved Problems
Research Paper Deep Dive
CAPSTONE: End-to-End Memory System
Production Patterns & Integration