{"id":50686235,"url":"https://github.com/jezreal-dev/universal-ai-journey","last_synced_at":"2026-06-08T23:03:39.088Z","repository":{"id":358931322,"uuid":"1239802268","full_name":"jezreal-dev/universal-ai-journey","owner":"jezreal-dev","description":"Documentation of my MIT Universal AI Training journey via 3MTT — notes, code snippets, and milestones from May 2026 onward.","archived":false,"fork":false,"pushed_at":"2026-06-05T17:02:19.000Z","size":74,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-06T03:22:26.439Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jezreal-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-15T13:06:17.000Z","updated_at":"2026-06-05T17:02:23.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/jezreal-dev/universal-ai-journey","commit_stats":null,"previous_names":["jmomoh-source/universal-ai-journey","jezreal-dev/universal-ai-journey"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jezreal-dev/universal-ai-journey","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Funiversal-ai-journey","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Funiversal-ai-journey/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Funiversal-ai-journey/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Funiversal-ai-journey/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jezreal-dev","download_url":"https://codeload.github.com/jezreal-dev/universal-ai-journey/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jezreal-dev%2Funiversal-ai-journey/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34083848,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-08T02:00:07.615Z","response_time":111,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-06-08T23:03:38.427Z","updated_at":"2026-06-08T23:03:39.082Z","avatar_url":"https://github.com/jezreal-dev.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MIT Universal AI Training Journey\n\n![GitHub repo size](https://img.shields.io/github/repo-size/jmomoh-source/universal-ai-journey)\n![GitHub last commit](https://img.shields.io/github/last-commit/jmomoh-source/universal-ai-journey)\n![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)\n\n📅 Started: May 7, 2026  \n🎓 Program: MIT Universal AI via 3MTT  \n\n---\n\n## Overview\nThis repository documents my learning journey through the MIT Universal AI program.  \nI share notes, reflections, and milestones from each module to stay accountable and build a portfolio of applied AI knowledge.\n\n---\n\n## Curriculum Roadmap\n- [x] Introduction to Universal AI (completed)  \n- [x] Python Coding, Part 1 (completed)  \n- [x] Python Coding, Part 2 (completed)  \n- [ ] Foundations of Data Analytics \u0026 Machine Learning  \n- [ ] Supervised \u0026 Unsupervised Learning  \n- [ ] Foundations of Neural Networks  \n- [ ] Hands-On Deep Learning  \n- [ ] Deep Learning \u0026 Computer Vision  \n- [ ] Data-Driven Prescriptive AI  \n- [ ] Model-Driven Prescriptive AI (Part 1 \u0026 2)  \n- [ ] Large Language Models  \n- [ ] Generative AI \u0026 Human Creativity  \n- [ ] Multimodal AI  \n- [ ] LLM-based Agents  \n- [ ] Explainability \u0026 Fairness  \n\n---\n\n## Project Structure\n```\nuniversal-ai-journey/\n│\n├── README.md              # Overview, roadmap, progress log\n│\n├── modules/               # Notes and reflections per module\n│   ├── 01-intro-universal-ai/\n│   │   ├── welcome.md\n│   │   ├── introduction.md\n│   │   ├── articles.md\n│   │   ├── lectures.md\n│   │   ├── conclusion.md\n│   │\n│   ├── 02-python-part1/\n│   │   ├── overview.md\n│   │   ├── lectures.md\n│   │   ├── assignment.md\n│   │   ├── conclusion.md\n│   │\n│   ├── 03-python-part2/\n│   │   ├── overview.md\n│   │   ├── lectures.md\n│   │   ├── assignment.md\n│   │   ├── conclusion.md\n│   │\n│   └── ...\n│\n├── industry/              # Industry-specific modules\n│   ├── energy.md\n│   ├── medicine.md\n│   ├── entrepreneurship.md\n│   └── ...\n│\n├── resources/             # Extra readings, references, links\n│   └── resources.md\n│\n└── progress.md            # Detailed log of milestones\n```\n\n---\n\n## Progress Log\n- May 7, 2026 → Enrolled in program  \n- May 8, 2026 → Attended onboarding session  \n- May 9, 2026 → Began Introduction to Universal AI module  \n- May 15, 2026 → Completed Introduction to Universal AI module and earned certificate  \n- May 20, 2026 → Completed Python Coding, Part 1 (certificate pending)  \n- May 28, 2026 → Completed Python Coding, Part 2 (certificate pending)  \n\n### Module 0: Introduction to Universal AI\n- ✅ Welcome to Universal AI (12 min)  \n- ✅ Meet the Universal AI Instructors (11 min)  \n- ✅ Pre-Survey (6 min)  \n- ✅ Module Overview and Learning Goals (2 min)  \n- ✅ Article 1: How AI Works (29 min + activity)  \n- ✅ Knowledge Check  \n- ✅ Article 2: AI in Action (30 min + activity)  \n- ✅ Knowledge Check  \n- ✅ Lecture 1: Artificial Intelligence Basics (40 min)  \n- ✅ Lecture 2: AI in Action (24 min)  \n- ✅ Conclusion (2 min)  \n- ✅ Completion  \n\n### Module 1: Python Coding, Part 1\n- ✅ Lectures (1–5)  \n- ✅ Assignment 1  \n- ✅ Conclusion  \n- ⬜ Certificate pending  \n\n### Module 2: Python Coding, Part 2\n- ✅ Lectures (1–5)  \n- ✅ Assignment 1  \n- ✅ Conclusion  \n- ⬜ Certificate pending  \n\n---\n\n## Modules\n- [Universal AI – Welcome](modules/01-intro-universal-ai/welcome.md)  \n- [Universal AI – Introduction](modules/01-intro-universal-ai/introduction.md)  \n- [Universal AI – Articles](modules/01-intro-universal-ai/articles.md)  \n- [Universal AI – Lectures](modules/01-intro-universal-ai/lectures.md)  \n- [Universal AI – Conclusion](modules/01-intro-universal-ai/conclusion.md)  \n- [Python Coding, Part 1 – Overview](modules/02-python-part1/overview.md)  \n- [Python Coding, Part 1 – Lectures](modules/02-python-part1/lectures.md)  \n- [Python Coding, Part 1 – Assignment](modules/02-python-part1/assignment.md)  \n- [Python Coding, Part 1 – Conclusion](modules/02-python-part1/conclusion.md)  \n- [Python Coding, Part 2 – Overview](modules/03-python-part2/overview.md)  \n- [Python Coding, Part 2 – Lectures](modules/03-python-part2/lectures.md)  \n- [Python Coding, Part 2 – Assignment](modules/03-python-part2/assignment.md)  \n- [Python Coding, Part 2 – Conclusion](modules/03-python-part2/conclusion.md)  \n\n---\n\n## Resources\n- [MIT Learn Dashboard](https://learn.mit.edu)  \n- [3MTT Support Guide](https://3mttsupport.tawk.help)  \n- [Universal AI Resources Folder (Google Drive)](https://drive.google.com/drive/folders/1qteK_VAlHHpL2JrDcksX4uUQoYkJkILP?usp=drive_link)  \n\n---\n\n## License\nThis repo is for personal documentation and portfolio purposes.  \nDistributed under the [MIT License](LICENSE).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjezreal-dev%2Funiversal-ai-journey","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjezreal-dev%2Funiversal-ai-journey","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjezreal-dev%2Funiversal-ai-journey/lists"}