LLM Python Learning Journey A hands-on learning project exploring Large Language Models (LLMs) through practical Python applications. This repository documents a step-by-step journey from basic LLM integration to advanced techniques, with each day building upon previous knowledge.

I’ve completed the Nodebook Data Science & Machine Learning program, where I worked on real-world projects using Python, Machine Learning, Deep Learning, and Large Language Models (LLMs). As part of my learning journey, I also explored Generative AI and AI Agents, gaining hands-on experience in building smart systems that can think, plan, and act.

This repository documents my complete journey of learning and implementing Large Language Models (LLMs) using Python. The project starts from Python basics and gradually moves towards Machine Learning, Deep Learning, NLP, Transformers, and real-world LLM applications. The goal of this project is to build a strong foundation in AI/LLMs a

Unlocked the potential of artificial intelligence to create language-based applications in this project-based learning journey. Implemented advanced LLM models such as OpenAI and Hugging Face using Python, and gained skills to develop innovative LLM solutions.

A hands-on learning journey into Generative AI with LangChain, inspired by the CampusX tutorial series. This repository contains Python scripts, Jupyter notebooks, notes, and experiments showcasing practical examples of working with LLMs, prompts, chains, memory, and agents.

📊 Complete job-ready Data Science learning journey with daily Jupyter Notebook practice — Python, NumPy, Pandas, ML, SQL, Deep Learning & LLMs.

🚀 The ultimate 30-day Python journey tailored for GenAI. Master Python fundamentals, Pandas, NumPy, and OOP while building the foundation for LLMs and Machine Learning. From Syntax to Transformers. Related topics are "LangChain," "Hugging Face," and "RAG" under Python fundamentals with Generative AI, Python for GenAI, LLM Development

My Python learning journey toward NLP/LLM Engineer 2030

My AI Backend Learning Journey - Python, MySQL, Redis, Docker, LLM

My AI learning journey: Python, RAG, LLM, Agent, LangChain, FastAPI

AI/ML learning journey | April 2026 → March 2028 | Python · PyTorch · LLMs · MLOps

My complete AI/ML learning journey — Python, ML, DL, GenAI, LLMs, Power BI

My AI learning journey - building real banking AI tools with Python and local LLMs

📚 My learning journey through Python, SQL, Frameworks, and AI/LLMs - 5 years of study notes

Structured 48-week AI/ML learning journey covering Python, Machine Learning, Deep Learning, LLMs, and real-world projects with daily progress.

“From learning Python to building intelligent systems — the journey to becoming an LLM Engineer starts here.”

My learning journey while pursuing the Complete AI Engineer Training (Python, NLP, LLMs, LangChain, Hugging Face).

A structured journey to becoming an AI Engineer. Covering Python, Machine Learning, Deep Learning, LLMs, and real-world deployment projects.

14-day Python/AI learning journey: Flask web app, LSTM model, RAG with ChromaDB, job crawling, and LLM integration

My Python learning journey: from Manual QA → LLM Evaluation Engineer. 30 min/day. Building toward Ragas, DeepEval, Playwright automation.

🤖 Comprehensive AI/ML learning repository featuring hands-on notebooks on Python, Machine Learning, Deep Learning, LLM Fine-tuning, RAG (Retrieval Augmented Generation), and LLM Building. Documenting my journey through modern AI technologies with practical implementations.

# Hi, I'm Dani 👋 - 🌱 Learning AI & Cloud Development - 🔭 Building projects with Python & LLMs - 🚀 Sharing my journey here at AiWithDani

I am starting my Generative AI learning journey with a clear 3‑month plan, focusing on Python, APIs, and modern LLM tools like RAG, embeddings, and agentic workflows.

My learning journey into building RAG systems. This repository contains my hands-on implementation and experiments with LLMs, WSL, and Python as I follow the Mini-RAG project.

End-to-end AI and Data Science learning repository documenting my journey from Python basics to advanced machine learning. Contains structured practice, experiments, and projects using NumPy, Pandas, Scikit-learn,other libraries,GenAI,llm and deep learning concepts

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 90-day journey to build in public and stay consistent in the AI space. Covering hands-on projects in NLP, LLMs, RAG, Python libraries, and daily learning logs. #BuildInPublic

A collection of my Python work from beginner to intermediate level, focusing on core concepts, problem-solving, and foundations for LLM engineering. This repo documents my learning journey and practical coding practice.

This repository documentsof my journey data analyst through a self-designed 6-month challenge to master Full Stack Data Science, Generative AI (LLMs, prompt engineering), Agentic AI (autonomous agents), Machine Learning, and AI development with Python.

This repository contains my learning journey and projects from a 6-month intensive bootcamp on Data Science, Generative AI, and Agentic AI. Includes hands-on assignments, coding, and mini-projects covering topics such as Python, data analysis, machine learning, deep learning, LLMs, prompt engineering, and building intelligent agentic systems.