☕ Learning path
Learn to Get Hired.
The free version of what a bootcamp charges five figures for: build real proof, refresh the concepts a screen will probe, and learn to present your work well. No job promised, just the parts you control.
0 of 7 steps
- ReadThe Get Hired guide Build real proof, drill the concepts interviews test, and present your work well. Practice plus a portfolio capstone.
- ReadWhat is a context window? The model's working memory, tokens, what fills it, why it runs out, and how to manage it.
- ReadWhat is RAG (Retrieval-Augmented Generation)? Grounding a model in your own documents at query time, embeddings, retrieval, and why it beats fine-tuning for facts.
- ReadWhat is tool calling (function calling)? How a model decides to call a function, returns structured arguments, and your code runs it, the basis of agents.
- ReadWhat are AI evals? How to measure whether AI output is good enough: the dataset, the scorer, the metric, and the four ways to score (exact match, rubric, LLM-as-judge, human). The verify gate at scale.
- Trynext-word sampler Watch a model pick the next token, and what temperature does.
- ReadYour proof of doing Turn the work you have done here into a shareable record: XP, streak, practice, and capstones.
Capstone · build it
Run one honest mock interview
A finished project is your best proof, but a dry run beats walking in cold. Use the AI you already have as a tireless interviewer, and keep yourself honest. Progress saves on this device.
0/5
Tools for the job: Get Hired guidePrompt OptimizerYour proof of doing
🎉 Capstone complete. You didn’t just read it, you did it.
More routes: all learning paths, the skill tree, or the knowledge map.