A free 5-day email course that teaches you how to make AI agents that learn and remember
Whether you're building your first AI agent or scaling systems in production, this course teaches you the memory patterns that separate working agents from expensive AI slop. You'll learn to build agents that learn, adapt, and improve over time.
If you're just getting started with AI agents, this course breaks down memory concepts into practical steps anyone can follow. No prior agent experience required.
If you're creating AI agents but they feel brittle and unreliable, this course shows you how memory transforms basic chatbots into intelligent systems.
If you're moving beyond prototypes and need agents that handle real users and edge cases, you'll learn the memory architectures that make agents robust.
Each day focuses on one core memory concept that makes agents more reliable and autonomous.
Understand how current agents lose context and why that makes them unreliable. Learn what memory actually means for AI systems.
Build agents that remember the current conversation and can reference what happened earlier without losing track.
Create persistent memory so agents remember insights, preferences, and successful approaches across different conversations.
Implement feedback loops so agents remember what doesn't work and avoid repeating the same errors.
Design memory architectures that work in production with multiple users and don't slow down over time.
If you've ever felt:
Your agents can only handle simple tasks and break when users do anything unexpected.
Every new requirement means starting over because your agents can't adapt or learn.
You see impressive agent demos but can't figure out how to build anything that reliable.
You want to deploy agents that actually work with real users, not just in controlled tests.
Cut through the hype and learn what actually works in production.
Every lesson includes practical examples you can use immediately in your existing projects.
Learn principles that work across all AI tools, frameworks, and platforms.
Acquire concepts that will serve you as AI continues to evolve and new models emerge.
Just pure, practical knowledge you can apply today. No theory without implementation.
No hidden costs. Just valuable knowledge delivered to your inbox.
Here is the curriculum of the course:
• What makes agent memory different (and why it matters)
• How current agents lose context and become unreliable
• Essential memory concepts to get you started
• Choose the perfect memory approach for any task
• Implement conversation memory that actually works
• Transform forgetful agents into context-aware systems
• Memory preprocessing and storage approaches
• How to store and retrieve agent insights across sessions
• 3 real-world examples you can copy and modify
• How to turn agent failures into learning opportunities
• The secret to reducing agent errors by 80% using self-reflection
• 3 practical examples of agent learning you can apply in your agents
• How to scale memory systems for multiple users and sessions
• The exact process I use to deploy memory-enabled agents
• Real examples of what works (and what breaks) in production
• Advanced patterns for when you're ready for more
Join thousands of other AI engineers building production-ready agents