AI Engineer Portal

Career transition, organized like a product.

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Focus the portal on Python depth, shipping projects, evaluation, and portfolio readiness.

Phase 1 MVP

Build career momentum with visible, repeatable progress.

Single-user private mode

Learning Path

LLM App Foundations

Learn the product and systems primitives behind useful LLM applications.

0% complete

intermediate · 16 hours

Lesson 1

Prompt, context, tools, and memory

Map the core components of an LLM application before choosing frameworks.

Lesson 2

Request lifecycle of an LLM feature

Trace a user request from UI input to final response and logging.

Lesson 3

Guardrails and structured outputs

Constrain outputs with schemas, system prompts, and approval boundaries.

Lesson 4

Cost, latency, and failure budgets

Make tradeoffs visible instead of treating providers like magical black boxes.

Lesson 5

Portfolio slice: ship one narrow assistant well

Design a focused feature instead of a vague chatbot.