Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)

Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers

A hands-on NLP/ML curriculum for trainees and juniors who already know basic Python, ML and want to get production-ready in AI/ML engineering from embeddings to production APIs.

Curriculum to grasp the basics of ML in 100 Days

AI Infrastructure Junior Engineer Learning Track - Comprehensive curriculum for entry-level ML infrastructure engineers (0-2 years experience)

Comprehensive ML curriculum: from NumPy to Neural Networks. 50+ Jupyter notebooks with from-scratch implementations and real-world projects.

Data and Machine Learning Curriculum for Oil, Gas, and Mining

Complete AI/ML curriculum: From Python basics to production systems. 800+ notebooks covering transformers, embeddings, RAG, vector DBs, MLOps, NLP, computer vision & more.

Curriculum recommendation for Getting Started with ML

A structured, review-ready repository covering the full “ML A-Z [2025]” curriculum: preprocessing, models, evaluation, and key takeaways.

📚 A roadmap through AI/ML research literature. 100+ papers organized into a curriculum covering deep learning foundations, NLP, computer vision, interpretability, security, and emerging frontiers.

A one month, self-paced, project-based AI/ML curriculum for fourth-year medical students.

A compressed curriculum for teaching Machine Learning. This curriculum is design to let an instructor go through each class in one hour.

Project-based curriculum for teaching physical computing, IoT, and ML with Arduino across secondary school levels (educational)

Build a machine learning curriculum that actually match job requirements

MLOps curriculum

This project is a part of "Deep Learning + ML Engineering” curriculum as capstone projects at Almabetter School.

AI/ML Curriculum for a Mathematically Advanced Reader

I’m an MLOps Engineer at Corca.

AI bootcamp curriculum covering Python, ML, Deep Learning, GenAI, and Agents—plans, labs, templates, and teaching resources (2026 edition)

Aggregated resources for learning data science, machine learning and deep learning.

An open source, end-to-end AI engineering curriculum—blending hands-on projects with deep theory. Covers ML, deep learning, data science & full-stack AI system design. Built for future engineers, researchers & innovators.

I’m an MLOps Engineer at Corca.

I'm a MLOps Engineer at Corca.

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ML-Cur: Curriculum-Based Imitation of Versatile Skills

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Obsidian-based Computer Science & AI Curriculum Map. 학부 전 과정의 이론과 실습 코드를 유기적으로 연결한 아카이브 (OS, DB, ML, Generative AI)