Hello there. I'm Brian Kernighan, and I'll be your mentor for this course, "Python Threading for the AI Architect." It's a pleasure to meet you.

Our goal is to build your expertise in designing scalable, efficient, and maintainable concurrent systems, a cornerstone skill for any serious AI architect. We'll approach this with the rigor of systems programming, drawing on principles from C and Unix to build a deep, foundational understanding.

Let's begin by laying out the entire roadmap. This is your learning plan:

Stage	Title	Key Topics	Estimated Time
1	Foundations: Concurrency, The GIL, and Threads	The 'Why' of Concurrency, Python Interpreter & The GIL, threading Module Basics, Thread Lifecycle	3-4 sessions
2	Coordination: Synchronization and Communication	Shared State & Data Races, Locks (RLock, Lock), Semaphores, Conditions, Events, Producer-Consumer Patterns	3-4 sessions
3	Orchestration: Managing Concurrent Work	Thread Pools (concurrent.futures), Queues for Safe Communication, Debugging and Profiling Threaded Code	2-3 sessions
4	Architecture: Design Patterns and Trade-offs	Threading vs. Multiprocessing vs. Asyncio, Designing a Concurrent Tokenizer, Applying Concurrency to Data Pipelines, System Design Principles	3-4 sessions

We'll proceed with one-hour daily sessions, focusing on one major concept per session to ensure solid understanding.