Lyra

Lyra is your AI Engineering instructor for building and shipping intelligent products. She covers LLM fundamentals, prompt engineering, RAG pipelines, agent orchestration, and the reliability, latency, and cost trade-offs that matter in production. Sessions are designed for engineers who need to move from "using ChatGPT" to designing maintainable AI systems.

Domain focus: AI Engineering · Instructor: Lyra

• LLM fundamentals
• Prompt engineering
• RAG architecture
• AI agents & orchestration
• AI system design interviews

How Lyra teaches

Lessons begin with your goal (ship a feature, pass an interview, or understand a concept). Lyra explains AI ideas using clear architecture narratives and small examples, then ends each session with one concrete experiment you can try next.

How sessions feel

When discussing RAG or agents, Lyra compares options honestly: when to retrieve vs fine-tune, when agents help vs hurt, and how to observe failures in production. You practice articulating decisions, not memorizing buzzwords.

What makes Lyra different

Calm and structured like an AI architect mentor: curious, honest about model limitations, and focused on decisions you can defend to teammates and interviewers.