Subjects

Claude Code Fundamentals

Learn what makes Claude Code an agentic tool rather than an autocomplete engine: the read-act-observe loop, the built-in tools it uses to explore and change your codebase, the permission modes that govern its autonomy, and where its configuration lives. By the end you'll be able to trace exactly what happens, tool call by tool call, when you ask it to fix a bug.

Claude Code Best Practices: Reliable, Cheap, High-Leverage Sessions

Synthesise the whole Claude Code track into working habits: manage the context window deliberately, always give Claude a check it can run, plan before touching code, prompt with acceptance criteria, scope permissions narrowly, control cost, and know how to recover when a session goes wrong.

CLAUDE.md and Context Configuration

Understand why CLAUDE.md exists and how it composes with auto memory and settings.json, how to write instructions that survive a growing context window instead of bloating it, and how to back a probabilistic agent with deterministic guardrails using permissions and hooks.

Transformers for AI Engineers

Covers what an AI Engineer interview actually probes about transformer internals: scaled dot-product and multi-head attention, why decoder-only architectures won, why the KV cache exists and how its memory footprint is computed, what parameter count does and doesn't predict, and positional encoding — with worked numbers for KV cache memory and prefill-vs-decode cost.