https://github.com/jezreal-dev/universal-ai-journey
Documentation of my MIT Universal AI Training journey via 3MTT — notes, code snippets, and milestones from May 2026 onward.
https://github.com/jezreal-dev/universal-ai-journey
Last synced: 11 days ago
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Documentation of my MIT Universal AI Training journey via 3MTT — notes, code snippets, and milestones from May 2026 onward.
- Host: GitHub
- URL: https://github.com/jezreal-dev/universal-ai-journey
- Owner: jezreal-dev
- License: mit
- Created: 2026-05-15T13:06:17.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2026-06-05T17:02:19.000Z (14 days ago)
- Last Synced: 2026-06-06T03:22:26.439Z (14 days ago)
- Language: Python
- Size: 72.3 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MIT Universal AI Training Journey
📅 Started: May 7, 2026
🎓 Program: MIT Universal AI via 3MTT
---
## Overview
This repository documents my learning journey through the MIT Universal AI program.
I share notes, reflections, and milestones from each module to stay accountable and build a portfolio of applied AI knowledge.
---
## Curriculum Roadmap
- [x] Introduction to Universal AI (completed)
- [x] Python Coding, Part 1 (completed)
- [x] Python Coding, Part 2 (completed)
- [ ] Foundations of Data Analytics & Machine Learning
- [ ] Supervised & Unsupervised Learning
- [ ] Foundations of Neural Networks
- [ ] Hands-On Deep Learning
- [ ] Deep Learning & Computer Vision
- [ ] Data-Driven Prescriptive AI
- [ ] Model-Driven Prescriptive AI (Part 1 & 2)
- [ ] Large Language Models
- [ ] Generative AI & Human Creativity
- [ ] Multimodal AI
- [ ] LLM-based Agents
- [ ] Explainability & Fairness
---
## Project Structure
```
universal-ai-journey/
│
├── README.md # Overview, roadmap, progress log
│
├── modules/ # Notes and reflections per module
│ ├── 01-intro-universal-ai/
│ │ ├── welcome.md
│ │ ├── introduction.md
│ │ ├── articles.md
│ │ ├── lectures.md
│ │ ├── conclusion.md
│ │
│ ├── 02-python-part1/
│ │ ├── overview.md
│ │ ├── lectures.md
│ │ ├── assignment.md
│ │ ├── conclusion.md
│ │
│ ├── 03-python-part2/
│ │ ├── overview.md
│ │ ├── lectures.md
│ │ ├── assignment.md
│ │ ├── conclusion.md
│ │
│ └── ...
│
├── industry/ # Industry-specific modules
│ ├── energy.md
│ ├── medicine.md
│ ├── entrepreneurship.md
│ └── ...
│
├── resources/ # Extra readings, references, links
│ └── resources.md
│
└── progress.md # Detailed log of milestones
```
---
## Progress Log
- May 7, 2026 → Enrolled in program
- May 8, 2026 → Attended onboarding session
- May 9, 2026 → Began Introduction to Universal AI module
- May 15, 2026 → Completed Introduction to Universal AI module and earned certificate
- May 20, 2026 → Completed Python Coding, Part 1 (certificate pending)
- May 28, 2026 → Completed Python Coding, Part 2 (certificate pending)
### Module 0: Introduction to Universal AI
- ✅ Welcome to Universal AI (12 min)
- ✅ Meet the Universal AI Instructors (11 min)
- ✅ Pre-Survey (6 min)
- ✅ Module Overview and Learning Goals (2 min)
- ✅ Article 1: How AI Works (29 min + activity)
- ✅ Knowledge Check
- ✅ Article 2: AI in Action (30 min + activity)
- ✅ Knowledge Check
- ✅ Lecture 1: Artificial Intelligence Basics (40 min)
- ✅ Lecture 2: AI in Action (24 min)
- ✅ Conclusion (2 min)
- ✅ Completion
### Module 1: Python Coding, Part 1
- ✅ Lectures (1–5)
- ✅ Assignment 1
- ✅ Conclusion
- ⬜ Certificate pending
### Module 2: Python Coding, Part 2
- ✅ Lectures (1–5)
- ✅ Assignment 1
- ✅ Conclusion
- ⬜ Certificate pending
---
## Modules
- [Universal AI – Welcome](modules/01-intro-universal-ai/welcome.md)
- [Universal AI – Introduction](modules/01-intro-universal-ai/introduction.md)
- [Universal AI – Articles](modules/01-intro-universal-ai/articles.md)
- [Universal AI – Lectures](modules/01-intro-universal-ai/lectures.md)
- [Universal AI – Conclusion](modules/01-intro-universal-ai/conclusion.md)
- [Python Coding, Part 1 – Overview](modules/02-python-part1/overview.md)
- [Python Coding, Part 1 – Lectures](modules/02-python-part1/lectures.md)
- [Python Coding, Part 1 – Assignment](modules/02-python-part1/assignment.md)
- [Python Coding, Part 1 – Conclusion](modules/02-python-part1/conclusion.md)
- [Python Coding, Part 2 – Overview](modules/03-python-part2/overview.md)
- [Python Coding, Part 2 – Lectures](modules/03-python-part2/lectures.md)
- [Python Coding, Part 2 – Assignment](modules/03-python-part2/assignment.md)
- [Python Coding, Part 2 – Conclusion](modules/03-python-part2/conclusion.md)
---
## Resources
- [MIT Learn Dashboard](https://learn.mit.edu)
- [3MTT Support Guide](https://3mttsupport.tawk.help)
- [Universal AI Resources Folder (Google Drive)](https://drive.google.com/drive/folders/1qteK_VAlHHpL2JrDcksX4uUQoYkJkILP?usp=drive_link)
---
## License
This repo is for personal documentation and portfolio purposes.
Distributed under the [MIT License](LICENSE).