Tier 1 — Foundations of AI Systems

Who This Is For

Developers new to AI infrastructure, students transitioning into AI careers, and engineers who want a strong systems foundation.

Core Tracks

• Python for AI Systems
• Linear Algebra & Tensor Fundamentals
• GPU & Hardware Basics
• Transformer Architecture Fundamentals
• Data Pipelines & Tokenization
• Introduction to Model Serving

Skills Gained

• Understand how LLM inference works
• Identify GPU bottlenecks
• Read model telemetry
• Work with real datasets

Example Courses

• AI Systems Literacy I
• Neural Networks for Engineers
• Hardware & Memory Movement Fundamentals
• Tokenization & Data Integrity

Outcome

Students graduate Tier 1 ready to deploy and test small-scale models.