This repo holds my learning journey and projects in AI, ML, DL, and LLM. It includes experiments, code, notes, and resources as I explore these technologies, build skills, and document my roadmap. Perfect for anyone interested in following along or contributing to cutting-edge AI development.

This is the 12 week learning repository to help build an edge LLM application.

My journey through MIT 6.S191. A collection of deep learning foundations and cutting-edge applications, from perceptrons to generative AI and Large Language Models (LLMs).

🎓 AI Credentials Hub: A public database tracking my continuous learning journey as an AI Automation Engineer. Featuring verified certifications from Google, AWS, and Coursera. Focus areas: LLM Orchestration, Agentic Workflows, and AI Security. Updated weekly to stay at the cutting edge of the AI landscape.

My journey mastering Deep Learning, Transformers, and LLMs — one day at a time. From basics to building with cutting-edge AI.

This repository contains all of my hands-on projects in Machine Learning and Large Language Models (LLMs). It showcases my journey through core ML concepts, end-to-end pipelines, and cutting-edge LLM applications. Each project is well-structured, documented, and aimed at solving real-world or research-inspired problems.

This repository tracks my learning journey as I explore and develop skills in Language Models (LLMs) and AI agents. The project is based on an online course, and it includes notes, code experiments, and mini-projects as I build and refine my understanding of cutting-edge AI technologies.