Phase 1 MVP

Build career momentum with visible, repeatable progress.

Single-user private mode

Today

Welcome back, Alex Builder.

Stay in execution mode: deepen Python, ship an AI project, and turn each milestone into interview leverage.

Learning completion

0.0%

Practice attempts

0

Interview readiness

0/100

Next best step

Python for AI Engineers: Mental model

Build the conceptual frame for this topic and identify where your existing engineering skills transfer.

Open lesson

Progress

Momentum over the last month

Track learning depth and practice volume together.

Daily plan

What to focus on next

Use one concrete action per stream to keep the transition manageable.

Complete one lesson tied to a current portfolio project.
Finish a Python or evaluation exercise and note what felt slow.
Update one project note with architecture tradeoffs.

Practice

Python Refresh Drill 1

Keep the fundamentals active while you build.

Category: python-refresh · Difficulty: easy

Open practice hub

Projects

Active portfolio work

Keep one or two projects in motion and let them drive learning.

RAG Research Brief Assistant

active · Portfolio score 82

Agent Workflow Orchestrator

planned · Portfolio score 74

Evaluation Dashboard

active · Portfolio score 88

Recommendations

Rule-based guidance

Phase 1 personalization is deterministic and execution-focused.

Advance the next learning milestone

Your next lesson is Python for AI Engineers: Mental model and will keep momentum high.

Strengthen implementation fluency

Practice python-refresh through Python Refresh Drill 1.

Convert project work into interview leverage

Update one project with concrete architecture decisions and metrics.