waleedkhokar/python-ai-engineering-journey

waleedkhokar/python-ai-engineering-journey has 33 GitHub stars and 37 forks. Star changes are not measured yet. Last checked 2026-11-08 19:06 UTC. Last push 2026-11-06.

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A complete, hands-on journey from Python fundamentals to AI Engineering. Explore Data Analytics, Data Science, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, AI Agents, and practical projects, with notes, Interview preparation, experiments, and implementations built along the way.

33 stars 37 forks

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About

python-ai-journey.vercel.app Machine Learning

agentic-ai ai-engineering computer-vision data-science-projects deep-learning generative-ai generative-ai-projects hugging-face langchain large-language-models llms machine-learning natural-language-processing neural-networks nlp-machine-learning numpy rag scikit-learn sql-database tensorflow

Repository

Language: Jupyter Notebook

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Activity

Created: 2026-05-16
Last push: 2026-11-06
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Last checked: 2026-11-08 19:06 UTC

README.md

Original

🐍 Python to AI Engineering Journey

A complete, open-source learning path from absolute zero to production AI systems. Fully structured courses, real projects and interview preparation, all in one repo.

About This Repo

A practical learning journey from Python fundamentals to AI engineering.

This repository brings together 10 structured sections, covering Python, Machine Learning, Generative AI, AI Agents, Agentic AI, DSA, DevOps, and databases.

Each section includes notes, code examples, and hands-on projects to help you learn by building.

🗺️ Learning Path

📚 What You Will Learn Inside This Reposotiory

🧱 Part 1: Foundations to AI

#	Section	Key Topics
01	🐍 Python	Fundamentals, Functions, OOP, File Handling, Advanced Python
02	📊 Data Science	NumPy, Pandas, Data Cleaning, Visualization, Statistics
03	🤖 Machine Learning	Regression, Classification, Clustering, Model Evaluation, ML Pipelines
04	🧠 Deep Learning	Neural Networks, CNNs, RNNs, Transformers, Computer Vision
05	✨ Generative AI	LLMs, Prompt Engineering, Embeddings, RAG, Fine-Tuning

🚀 Part 2: Advanced AI to Production

#	Section	Key Topics
06	🦾 AI Agents & Automation	Tool Calling, Memory, Planning, LangGraph, Automation
07	🧭 Agentic AI Engineering	Orchestration, Multi-Agent Systems, MCP, Context Engineering, Observability
08	🧮 DSA & Interview Preparation 🔜	Big O, Data Structures, Algorithms, LeetCode, Interview Patterns
09	☁️ Cloud, DevOps & System Design 🔜	Linux, Docker, Kubernetes, AWS, CI/CD, MLOps
10	🗄️ SQL & Databases	SQL, Joins, Indexing, Database Design, Transactions, pgvector

🎯 Goal:

Develop strong programming fundamentals lojic building with interview preparations and build production-ready AI applications.

🚀 Projects

50+ real-world projects across every section — beginner to advanced.

⭐ Star

this repo then fork to get them all.

🛠️ Technical Stack

🤝 Learn & Contribute

Learn: you can learn any topic form beginer to advaced with intervies quesitons and with free projects.

Contribute: Have something useful to share? you can contribute from even 10 minutes.

✅ Star the repository — first of all start this repo to learn any topic or need any project
✅ Fork it to your GitHub account — fork if you want to contribute
✅ Make your changes. — you Add a project, improve the notes, or fix an issue/project.
✅ Submit a Pull Request — then after approving your name will be added in contributors.

Every useful contribution helps make this learning journey better for everyone.

👥 Resent Contributors

👨‍💻 About Me

Waleed Khokhar

Full-Stack AI Engineer with 1+ year of experience and 20+ projects delivered, building scalable Web Applications and Mobile Apps (Android & iOS) with AI-powered features.

I specialize in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Agentic AI, and AI Agents. I build intelligent AI solutions, automations, and products that solve real-world problems.

📫 Let's Connect

📈 Journey

This is not a finished course. It's an ongoing record of growth, and I keep adding concepts, experiments and projects as I learn.

⭐ If this repo helped you Give it a star and share it with other learners