Courses
Learn AI engineering through simple, guided course paths.
Pick a path, follow the modules, use the diagrams, and practice with prompts. The goal is to make AI system design easier to understand, teach, and apply.
Start here
ActiveAI System Design Notes
A friendly course-style path for learning AI system design: interviews, RAG, agents, memory, evals, safety, infrastructure, and case studies.
- Level
- Beginner to intermediate
- Format
- Guided notes, diagrams, checklists, prompts
Mini course
ReadyProduction RAG Systems
A focused path for understanding RAG as a trust system with sources, metadata, retrieval quality, citations, freshness, and evaluation.
- Level
- Intermediate
- Format
- Concept note plus checklist
Mini course
ReadyAgentic Systems Foundations
Learn how to design agent workflows with goals, tools, boundaries, memory, human review, traces, and recovery paths.
- Level
- Intermediate
- Format
- Concept note plus workflow diagram
Choose your path
Where should I start?
I am preparing for interviews
Start with answer frameworks, then move to RAG, agents, evals, and reliability.
I want to build production AI systems
Start with RAG fundamentals, agent workflows, evaluation, observability, and safety.
I teach or mentor AI learners
Use the notes as classroom-friendly explanations with diagrams, prompts, and checklists.
Learning style
Built for people who want clarity.
- •Plain-English explanations before architecture jargon.
- •Diagrams and checklists so learners know what to do next.
- •Interview prompts for practice, not only reading.
- •Production mindset: evals, traces, safety, cost, and release readiness.