RRoadmap OSApplied AI/ML

Workspace

Roadmap

Full Roadmap First 30 Days Stage 0 · Developer Foundations Stage 1 · Python Programming Stage 2 · Git + Software Engineering Basics Stage 3 · Databases + SQL Stage 4 · Web + HTTP + APIs Stage 5 · Data Structures + Algorithms Stage 6 · Data Analysis + Data Engineering Foundations Stage 7 · Math for Machine Learning Stage 8 · Classical Machine Learning Stage 9 · Deep Learning + PyTorch Stage 10 · Transformers + LLM Foundations Stage 11 · Applied AI Systems Stage 12 · MLOps + Production ML Stage 13 · AI Evaluation + Security Stage 14 · Capstone + Job Readiness

Build

Project Ladder Evidence

Progress

Progress Hub Competencies Weekly Logs Stage Gates

Reference

Resources Tutor Prompts Learning Rules Weekly System Scope Control

System

Actual progression0/15

Stage 0 · Week position 1

Week 1

P8 · Multi-stage project

Evaluated RAG/Workflow

Not Started

Skills introduced

retrieval baselinevector/hybridrerankingevalstool usehuman approvaltrace schemafailure taxonomyfeedback-to-eval loopexperiment comparisonregression suiterollout/rollback note

Repository

Repository URL

Milestones and deliverables

Many-to-many stage relationship preserved

P8.M1 · Owned by Stage 11

Evaluated Knowledge + Workflow System

0/20

real document corpus
lexical baseline
vector retrieval
hybrid/reranking experiment
retrieval evaluation
answer evaluation
citations
structured output
at least one safe tool
human confirmation for risky action
audit log
latency/cost report
production-like trace schema
failure taxonomy
at least 10 captured failure cases
those failures converted into regression evals
one documented experiment comparing two approaches
latency comparison
cost comparison
rollout/rollback note

Open owning stage

P8.M2 · Owned by Stage 13

Threat model and hardening

0/10

assets
trust boundaries
entry points
attacker goals
abuse cases
mitigations
adversarial test set
permission policy
human-approval policy
audit-event schema

Open owning stage

Retrospective

What worked, what failed, and what you would change

Project evidence

Attach artifacts through the shared evidence ledger.