AI Programming with Python

  • 0.0
3 Months

Brief Introduction

AI-powered increases in safety, productivity, and efficiency are already improving our world, and the best is yet to come! As it becomes increasingly evident how impactful AI can be, demand for employees with AI skills increases—demand is in fact already skyrocketing. The AI Programming with Python Nanodegree program makes it easy to learn the in-demand skills employers are looking for. You’ll learn foundational AI programming tools (Python, NumPy, PyTorch) and the essential math skills (linear

Course Summary

The AI Programming with Python Nanodegree program is designed to prepare students for careers in Artificial Intelligence. By the end of this program, learners will have completed 5 hands-on projects and have a solid understanding of AI, Python, and deep learning.

Key Learning Points

  • Gain practical experience using Python and deep learning techniques to solve real-world problems
  • Learn to use TensorFlow, PyTorch, and Keras - industry-standard AI and deep learning libraries
  • Develop a portfolio of 5 real-world projects that demonstrate your mastery of AI and deep learning concepts

Job Positions & Salaries of people who have taken this course might have

    • USA: $110,000 - $170,000
    • India: INR 9,00,000 - INR 24,00,000
    • Spain: €40,000 - €60,000
    • USA: $110,000 - $170,000
    • India: INR 9,00,000 - INR 24,00,000
    • Spain: €40,000 - €60,000

    • USA: $90,000 - $150,000
    • India: INR 6,00,000 - INR 23,00,000
    • Spain: €35,000 - €50,000
    • USA: $110,000 - $170,000
    • India: INR 9,00,000 - INR 24,00,000
    • Spain: €40,000 - €60,000

    • USA: $90,000 - $150,000
    • India: INR 6,00,000 - INR 23,00,000
    • Spain: €35,000 - €50,000

    • USA: $100,000 - $160,000
    • India: INR 8,00,000 - INR 22,00,000
    • Spain: €40,000 - €55,000

Related Topics for further study


Learning Outcomes

  • Develop a strong foundation in Python programming and deep learning concepts
  • Gain hands-on experience with industry-standard AI and deep learning libraries
  • Build a portfolio of 5 real-world projects that demonstrate your mastery of AI and deep learning concepts

Prerequisites or good to have knowledge before taking this course

  • Experience with Python programming
  • Basic knowledge of calculus, linear algebra, and statistics

Course Difficulty Level

Intermediate

Course Format

  • Online self-paced learning
  • 5 projects
  • Tutor support

Similar Courses

  • Machine Learning Engineer Nanodegree
  • Data Scientist Nanodegree

Related Education Paths


Related Books

Description

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

Knowledge

  • While this is an introductory course that is not designed to prepare you for a specific job, after completing this program, you should be proficient in the skills used in the AI Industry, including but not limited to Python, machine learning, etc. If you wish to prepare for a full-time AI-related career, we recommend enrolling in our Machine Learning Engineer Nanodegree program next.

Outline

  • 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). Learn the essential foundations of AI: the programming tools, the math, and the key techniques.

Summary of User Reviews

Pros from User Reviews

  • The course content is well-structured and easy to follow
  • The instructors are knowledgeable and engaging
  • The hands-on projects offer practical experience with AI programming
  • The course provides a strong foundation for further study in AI

Cons from User Reviews

  • The course can be challenging for beginners without prior programming experience
  • Some learners found the pace of the course to be too fast
  • The course requires a significant time commitment
  • The cost of the course may be prohibitive for some learners
Available now
3 Months
Ortal Arel, Luis Serrano, Jennifer Staab, Juan Delgado, Grant Sanderson, Mat Leonard, Mike Yi, Juno Lee, Andrew Paster
Udacity

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