Stage 0: Orientation¶
0 Build the map before choosing tools.
Goal¶
Understand modern AI engineering as a discipline: product judgment, model behavior, system design, evaluation, and responsible deployment.
Roadmap to Master This Stage¶
- Read the stage goal and diagram before opening the parts.
- Move through the parts in order unless you can already pass the exit criteria.
- Study each sub-part folder: overview, deep dive, and examples/practice.
- Build the stage artifact in small slices and measure the listed metrics.
- Use the part exam after each part, or open the global Exam tab to test across the roadmap.
Stage Structure Diagram¶
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flowchart LR
P1["<b>0.1</b><br/>AI Engineering Mental<br/>Model"]
P2["<b>0.2</b><br/>Tooling and Learning<br/>Environment"]
P1 --> P2
P3["<b>0.3</b><br/>Use Case Judgment"]
P2 --> P3
P4["<b>0.4</b><br/>Learning Operating<br/>System"]
P3 --> P4
P5["<b>0.5</b><br/>First Portfolio Skeleton"]
P4 --> P5
Parts¶
| Part | Simple explanation | Build focus |
|---|---|---|
| 0.1 AI Engineering Mental Model | Build a mental model of AI products as systems around foundation models, not as isolated prompts. | Draw an AI application stack for a simple assistant. |
| 0.2 Tooling and Learning Environment | Create a reliable local workspace so every later project can be reproduced, debugged, and shared. | Create the roadmap workspace with notes, projects, environment files, and a decision journal. |
| 0.3 Use Case Judgment | Choose AI projects that have clear users, data, success criteria, and acceptable risk. | Write a use-case brief for the first AI application you want to build. |
| 0.4 Learning Operating System | Turn the roadmap into a repeatable loop of learning, building, measuring, and reflection. | Create a 30-day plan with weekly artifacts. |
| 0.5 First Portfolio Skeleton | Start documenting work from day one so every stage leaves behind usable evidence. | Create a public or private portfolio skeleton. |
Sub-Part Map¶
| Part | Sub-part | Why it matters |
|---|---|---|
| 0.1 | 0.1.1 AI Engineering vs ML Engineering | AI Engineering vs ML Engineering is the working skill inside AI Engineering Mental Model that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.1 | 0.1.2 Foundation Model Product Stack | Foundation Model Product Stack is the working skill inside AI Engineering Mental Model that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.1 | 0.1.3 Models as Probabilistic Components | Models as Probabilistic Components is the working skill inside AI Engineering Mental Model that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.1 | 0.1.4 Adaptation Patterns | Adaptation Patterns is the working skill inside AI Engineering Mental Model that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.2 | 0.2.1 Developer Environment | Developer Environment is the working skill inside Tooling and Learning Environment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.2 | 0.2.2 Python and Notebook Setup | Python and Notebook Setup is the working skill inside Tooling and Learning Environment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.2 | 0.2.3 Git Terminal and Shell Workflow | Git Terminal and Shell Workflow is the working skill inside Tooling and Learning Environment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.2 | 0.2.4 Secrets and Configuration | Secrets and Configuration is the working skill inside Tooling and Learning Environment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.3 | 0.3.1 Use Case Selection | Use Case Selection is the working skill inside Use Case Judgment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.3 | 0.3.2 Feasibility and Risk | Feasibility and Risk is the working skill inside Use Case Judgment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.3 | 0.3.3 Product Metrics and User Value | Product Metrics and User Value is the working skill inside Use Case Judgment that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.4 | 0.4.1 Stage Project Loop | Stage Project Loop is the working skill inside Learning Operating System that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.4 | 0.4.2 Evaluation First Habit | Evaluation First Habit is the working skill inside Learning Operating System that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.4 | 0.4.3 Decision Journal and Failure Log | Decision Journal and Failure Log is the working skill inside Learning Operating System that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.4 | 0.4.4 Roadmap Navigation | Roadmap Navigation is the working skill inside Learning Operating System that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.5 | 0.5.1 Portfolio Repository Layout | Portfolio Repository Layout is the working skill inside First Portfolio Skeleton that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.5 | 0.5.2 README Quality Bar | README Quality Bar is the working skill inside First Portfolio Skeleton that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
| 0.5 | 0.5.3 Evidence Over Certificates | Evidence Over Certificates is the working skill inside First Portfolio Skeleton that helps you build the stage artifact, A learning log, environment checklist, use-case decision memo, and first roadmap plan, while collecting enough evidence to trust the result. |
Stage Artifact¶
A learning log, environment checklist, use-case decision memo, and first roadmap plan.
What to Measure¶
- weekly learning cadence
- one documented use-case decision
- tooling installed and tested
- first project skeleton
Exit Criteria¶
- explain AI engineering versus ML engineering
- describe prompting, RAG, agents, fine-tuning, and serving
- choose a narrow first project
- maintain a decision log
Navigation¶
Next: Stage 1: Foundations