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Get Started with the AI Learning Roadmap 🚀

Welcome to the AI Learning Roadmap! This step-by-step guide will help you navigate through the roadmap, build a strong foundation, and advance your skills in programming, working with data, machine learning, and deep learning. Follow the sections in order to get the most out of the roadmap.


How to Use the AI Learning Roadmap

The roadmap is structured to guide you from basic programming skills to advanced AI and machine learning concepts. Here's how to go through each section:

  1. Start with Programming Fundamentals: Build your foundational knowledge of Python.
  2. Learn to Work with Data: Explore libraries like Pandas, Matplotlib, Seaborn, and NumPy to manipulate, analyze, and visualize data.
  3. Dive into Machine Learning: Understand the fundamentals of machine learning and master algorithms, evaluation metrics, and hyperparameter tuning.
  4. Advance to Deep Learning: Build and train neural networks, and apply concepts like CNNs, RNNs, and GANs using TensorFlow and Keras.
  5. Move on to MLOps and Model Deployment: Apply your skills to deploy and manage models in production environments.

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