[UDACITY] LEARN ALL THE ESSENTIALS FOR AI PROGRAMMING WITH PYTHON V2.0.0

[UDACITY] LEARN ALL THE ESSENTIALS FOR AI PROGRAMMING WITH PYTHON V2.0.0

Learn all the essentials for AI programming with Python

Learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra—the foundations for building your own neural network.

TIME
3 months

Study 10 hrs/week and complete in 3 months

Why Take This Nanodegree Program?

Learning to program with Python, one of the most widely used languages in Artificial Intelligence, is the core of this program. You’ll also focus on neural networks—AI’s main building blocks. By learning foundational AI and math skills, you lay the groundwork for advancing your career—whether you’re just starting out, or readying for a full-time role.

What You Will Learn

Learn AI Fundamentals

Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).

PREREQUISITE KNOWLEDGE

Formal prerequisites include basic knowledge of algebra, and basic programming in any language.

  • Introduction to Python

    Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.

  • Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib

    Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.

  • Linear Algebra Essentials

    Learn the foundational linear algebra you need for AI success: vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.

  • Calculus Essentials

    Learn the foundations of calculus to understand how to train a neural network: plotting, derivatives, the chain rule, and more. See how these mathematical skills visually come to life with a neural network example.

  • Neural Networks

    Gain a solid foundation in the hottest fields in AI: neural networks, deep learning, and PyTorch.

Size: 2.57G

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