Learn Python: Python is the most popular language for machine learning due to its simplicity and extensive libraries like TensorFlow and scikit-learn.
Understand Supervised Learning: Grasp the basics of supervised learning techniques, which are foundational for many machine learning models.
Build Projects: Start building your own projects as soon as possible. Practical experience is invaluable and helps solidify your understanding.
Use Good Tools: Familiarize yourself with essential tools like Jupyter Notebooks, Git, and cloud platforms like AWS or Google Cloud for deploying models.
Stay Updated: The field of AI is rapidly evolving. Keep learning and stay updated with the latest research and technologies.