---
title: "AI-For-Beginners vs quals-2023"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-ai-for-beginners-vs-nautilus-institute-quals-2023"
tools: ["microsoft-ai-for-beginners", "nautilus-institute-quals-2023"]
---

# AI-For-Beginners vs quals-2023

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick AI-For-Beginners when aI-For-Beginners is primarily Jupyter Notebook; quals-2023 is C; pick quals-2023 when quals-2023 is primarily C; AI-For-Beginners is Jupyter Notebook.

[AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners) reports 52k GitHub stars, 11k forks, and 4 open issues, last pushed Jul 8, 2026. [quals-2023](https://github.com/Nautilus-Institute/quals-2023) has 127 stars, 11 forks, and 0 open issues, last pushed Jun 9, 2023. Figures are from public GitHub metadata via [AI-For-Beginners's repository](https://github.com/microsoft/AI-For-Beginners) and [quals-2023's repository](https://github.com/Nautilus-Institute/quals-2023).

| | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [quals-2023](/tools/nautilus-institute-quals-2023.md) |
| --- | --- | --- |
| Tagline | 12 Weeks, 24 Lessons, AI for All! | Source code for the DEF CON 31 CTF Qualifiers. |
| Stars | 52,098 | 127 |
| Forks | 10,536 | 11 |
| Open issues | 4 | 0 |
| Language | Jupyter Notebook | C |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | - |
| Categories | Vector Databases, Model Training, Computer Vision | Computer Vision |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [quals-2023](/tools/nautilus-institute-quals-2023.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 2d | 1128d |
| Open issues (now) | 4 | 0 |
| Security scan | 3 low (3 low) | No lockfile |
| Full report | [trust report](/tools/microsoft-ai-for-beginners/trust.md) | [trust report](/tools/nautilus-institute-quals-2023/trust.md) |

## Choose when

### Choose AI-For-Beginners if…

- AI-For-Beginners is primarily Jupyter Notebook; quals-2023 is C.
- Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence.
- Also covers Vector Databases, Model Training.

### Choose quals-2023 if…

- quals-2023 is primarily C; AI-For-Beginners is Jupyter Notebook.
- Tags unique to quals-2023: c++.
- Leaner open-issue backlog (0).

## When NOT to use AI-For-Beginners

- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## When NOT to use quals-2023

- Last GitHub push was 1129 days ago (dormant maintenance, Jun 9, 2023). Validate activity before betting a new project on quals-2023.

## Common questions

### What is the difference between AI-For-Beginners and quals-2023?

AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!. quals-2023: Source code for the DEF CON 31 CTF Qualifiers.. See the comparison table for live GitHub stats and shared categories.

### When should I choose AI-For-Beginners over quals-2023?

Choose AI-For-Beginners over quals-2023 when AI-For-Beginners is primarily Jupyter Notebook; quals-2023 is C; Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence; Also covers Vector Databases, Model Training.

### When should I choose quals-2023 over AI-For-Beginners?

Choose quals-2023 over AI-For-Beginners when quals-2023 is primarily C; AI-For-Beginners is Jupyter Notebook; Tags unique to quals-2023: c++; Leaner open-issue backlog (0).

### When should I avoid AI-For-Beginners?

Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### When should I avoid quals-2023?

Last GitHub push was 1129 days ago (dormant maintenance, Jun 9, 2023). Validate activity before betting a new project on quals-2023.

### Is AI-For-Beginners or quals-2023 more popular on GitHub?

AI-For-Beginners has more GitHub stars (52,098 vs 127). Stars measure visibility, not whether either tool fits your constraints.

### Are AI-For-Beginners and quals-2023 open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to AI-For-Beginners or quals-2023?

GraphCanon lists graph-backed alternatives at [AI-For-Beginners alternatives](/tools/microsoft-ai-for-beginners/alternatives) and [quals-2023 alternatives](/tools/nautilus-institute-quals-2023/alternatives) ([AI-For-Beginners markdown twin](/tools/microsoft-ai-for-beginners/alternatives.md), [quals-2023 markdown twin](/tools/nautilus-institute-quals-2023/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/microsoft-ai-for-beginners-vs-nautilus-institute-quals-2023.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AI-For-Beginners or quals-2023?

AI-For-Beginners: Very active. quals-2023: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for AI-For-Beginners and quals-2023?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-For-Beginners trust report](/tools/microsoft-ai-for-beginners/trust); [quals-2023 trust report](/tools/nautilus-institute-quals-2023/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-ai-for-beginners`](/api/graphcanon/graph?tool=microsoft-ai-for-beginners)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
