Complete roadmap to become an AI Security Engineer from zero to advanced — covering Python, ML, Deep Learning, LLM Engineering, RAG Security, Intrusion Detection, Anomaly Detection, and a full Master Project (AI-Powered Security Analyst).

How to learn ML for free

From zero to ML Engineer — a structured, public roadmap covering foundations, core ML, deep learning, and MLOps. Notes + resources included.

MLOps 101: Zero-to-hero guide for ML engineers. End-to-end training pipeline (YOLOv5 + KFP + MLflow + K3s on AWS), 10-module curriculum, Docker GPU dev workflows, workstation setup, and team best practices.

🤖 Complete A–Z roadmap to become an AI Developer & Prompt/Context Engineer in 12–18 months — from zero CS knowledge to professional career. Covers Python, ML, Deep Learning, LLMs, Prompt Engineering, RAG, Agents, Fine-tuning & more.

A complete 90-Day AI/ML Engineer Roadmap, from zero to pro. Includes daily video lessons, hands-on projects, datasets, and resources for Python, ML, Deep Learning, GenAI, RAG, LangChain, and MLOps. Built for self-learners aiming for 3-4 years of experience in 3 months.

UC Berkeley AI Hackathon Submission OKaiLora.ai is a no-code platform for training, running, and sharing machine learning models in healthcare — designed for doctors, researchers, and engineers alike. Whether you’re a radiologist with a folder of MRIs or a medical student with an idea, OKaiLora.ai helps you bring models to life with zero ML ops.

Мой путь в AI-инженерию с нуля. Учебный проект по книге Чип Хьюен.

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My journey from zero to ML/AI Engineer

My roadmap from zero to AI/ML Cloud Engineer

AI/ML learning journey — from zero to cloud AI engineer

Your definitive roadmap from zero to career-ready — for Data Scientists, ML Engineers & AI Engineers

Complete bioinformatics & structural biology ML curriculum — zero background to AlphaFold3 engineer. 50 notebooks, 18 modules.

Zero to GenAI Hero: The Complete Roadmap for ML & AI Engineers (2025) - https://medium.com/@kesavaram.raghavan

My daily 6-hour AI self-study journey from beginner (zero coding) to professional AI Engineer — Python, ML, LLMs, agents.

Documenting my journey from zero to hired LLM Engineer . Daily commits , projects , and learning in AI , Machine Learning , and Large Language Models . Building production ready AI applications with python , PyTorch , and modern ML tools.

🚀 A complete code repository documenting the path from absolute beginner to AI/ML Engineer. This repo tracks the "Zero to Hundred" roadmap, starting with logic building (patterns) and advancing through Data Structures, OOP, NumPy, Pandas, and finally Deep Learning architectures.

🚀 DataScience-From-Zero-To-Hero is a structured roadmap to master Data Science from scratch. It covers Python, NumPy, Pandas, data cleaning, visualization, statistics, machine learning algorithms, and real-world projects. The goal is to build strong fundamentals and practical skills to become a Data Scientist or ML Engineer.

A public learning journey where I go from zero technical background to a professional-level AI/ML engineer in 90 days. This repository contains daily progress, code notebooks, mini-projects, and notes across Python, Math, Machine Learning, Deep Learning, and AI system design.

Engineered an end-to-end unsupervised ML pipeline that automatically detects illegal sand-mining zones from 5-year Sentinel-2 NDVI time series, identifying 349 clusters / 106 km² of suspected activity across the Cauvery River Belt, Tamil Nadu — with zero labelled training data.