A beginner-friendly roadmap for anyone entering the world of Artificial Intelligence, Machine Learning, and Deep Learning.
No prior coding knowledge required.
By the end of this guide, you'll:
- Understand what AI/ML actually is
- Know the difference between AI, ML, DL, and DS
- Learn why Python is widely used in AI
- Understand important Python libraries
- Build a roadmap for your AI/ML journey
- Discover useful resources to continue learning
| Field | Tools / Technologies |
|---|---|
| Programming | Python |
| Data Analysis | Pandas, NumPy |
| Visualization | Matplotlib |
| Machine Learning | Scikit-learn |
| Deep Learning | TensorFlow, PyTorch |
| Computer Vision | OpenCV |
You do NOT need to understand everything immediately.
AI/ML is a massive field, and even professionals continue learning throughout their careers.
So please:
- move step-by-step
- stay curious
- build projects
- enjoy the process
Because consistency beats speed 🚀
Contributions, improvements, and suggestions are always welcome!
If you'd like to improve this roadmap:
- Fork the repository
- Make your changes
- Open a Pull Request
Let's help beginners learn AI/ML together 💙
If this project helped you:
- Consider giving the repository a ⭐
- Share it with friends
- Help more beginners enter the AI/ML world
Repository: https://github.com/19akshansh/starting-aiml/blob/main/start.md