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AI PROGRAMMING WITH PYTHON

Nanodegree Program


(592)


Our AI Programming with Python Nanodegree program offers a beginner-friendly
exploration into Python AI programming. Learn Python, NumPy, Pandas, Matplotlib,
PyTorch, and Linear Algebra—the foundations for building your own neural
network.

Our AI Programming with Python Nanodegree program offers a beginner-friendly
exploration into Python AI programming. Learn Python, NumPy, Pandas, Matplotlib,
PyTorch, and Linear Algebra—the foundations for building your own neural
network.


Enroll Now
Download Syllabus

Beginner

4 months

Real-world Projects

Completion Certificate

Last Updated August 15, 2024



Skills you'll learn:

NumPy • matplotlib • Vector visualization • Python data types+ 32 More

Prerequisites:

Elementary algebra • Basic Python



COURSES IN THIS PROGRAM

Course 1 • 2 days




INTRODUCTION TO AI PROGRAMMING

Welcome to the AI programming with python Nanodegree Program! Come and explore
the beautiful world of AI.



Lesson 1

WELCOME TO AI PROGRAMMING WITH PYTHON

Welcome to the AI Programming with Python Nanodegree program!

Lesson 2

GETTING HELP

You are starting a challenging but rewarding journey! Take 5 minutes to read how
to get help with projects and content.

Read More

Lesson 3

GET HELP WITH YOUR ACCOUNT

What to do if you have questions about your account or general questions about
the program.




Lesson 1

WELCOME TO AI PROGRAMMING WITH PYTHON

Welcome to the AI Programming with Python Nanodegree program!

Lesson 2

GETTING HELP

You are starting a challenging but rewarding journey! Take 5 minutes to read how
to get help with projects and content.

Lesson 3

GET HELP WITH YOUR ACCOUNT

What to do if you have questions about your account or general questions about
the program.

Course 2 • 1 month




INTRODUCTION TO PYTHON FOR AI PROGRAMMERS

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



Lesson 1

WHY PYTHON PROGRAMMING FOR AI

Welcome to Introduction to Python! Here's an overview of the course.

Lesson 2

USING PYTHON DATA TYPES AND OPERATORS IN AI PROGRAMMING

Familiarize yourself with the building blocks of Python! Learn about data types
and operators, built-in functions, type conversion, whitespace, and style
guidelines.

Read More

Lesson 3

PYTHON DATA STRUCTURES IN AI PROGRAMMING

Use data structures to order and group different data types together! Learn
about the types of data structures in Python, along with more useful built-in
functions and operators.

Read More

Lesson 4

USING CONTROL FLOW IN AI PROGRAMMING

Build logic into your code with control flow tools! Learn about conditional
statements, repeating code with loops and useful built-in functions, and list
comprehensions.

Read More

Lesson 5

USING PYTHON FUNCTIONS IN AI PROGRAMMING

Learn how to use functions to improve and reuse your code! Learn about
functions, variable scope, documentation, lambda expressions, iterators, and
generators.

Read More

Lesson 6

PYTHON SCRIPTING FOR AI PROGRAMMING

Set up your own programming environment to write and run Python scripts locally!
Learn good scripting practices, interact with different inputs, and discover
awesome tools.

Read More

Lesson 7

INTRODUCTION TO OBJECT-ORIENTED PYTHON FOR AI PROGRAMMING

Learn the basics of object-oriented programming so that you can build your own
Python package.

Lesson 8 • Project

USE A PRE-TRAINED IMAGE CLASSIFIER TO IDENTIFY DOG BREEDS

In this project, you will use Python code and a created image classifier to
identify dog breeds.




Lesson 1

WHY PYTHON PROGRAMMING FOR AI

Welcome to Introduction to Python! Here's an overview of the course.

Lesson 2

USING PYTHON DATA TYPES AND OPERATORS IN AI PROGRAMMING

Familiarize yourself with the building blocks of Python! Learn about data types
and operators, built-in functions, type conversion, whitespace, and style
guidelines.

Lesson 3

PYTHON DATA STRUCTURES IN AI PROGRAMMING

Use data structures to order and group different data types together! Learn
about the types of data structures in Python, along with more useful built-in
functions and operators.

Lesson 4

USING CONTROL FLOW IN AI PROGRAMMING

Build logic into your code with control flow tools! Learn about conditional
statements, repeating code with loops and useful built-in functions, and list
comprehensions.

Lesson 5

USING PYTHON FUNCTIONS IN AI PROGRAMMING

Learn how to use functions to improve and reuse your code! Learn about
functions, variable scope, documentation, lambda expressions, iterators, and
generators.

Lesson 6

PYTHON SCRIPTING FOR AI PROGRAMMING

Set up your own programming environment to write and run Python scripts locally!
Learn good scripting practices, interact with different inputs, and discover
awesome tools.

Lesson 7

INTRODUCTION TO OBJECT-ORIENTED PYTHON FOR AI PROGRAMMING

Learn the basics of object-oriented programming so that you can build your own
Python package.

Lesson 8 • Project

USE A PRE-TRAINED IMAGE CLASSIFIER TO IDENTIFY DOG BREEDS

In this project, you will use Python code and a created image classifier to
identify dog breeds.

Course 3 • 2 weeks




NUMPY, PANDAS, MATPLOTLIB

Let's focus on library packages for Python, such as : Numpy (which adds support
for large data), Pandas (which is used for data manipulation and analysis) And
Matplotlib (which is used for data visualization).

Read More


Lesson 1

ANACONDA

Anaconda is a package and environment manager built specifically for data. Learn
how to use Anaconda to improve your data analysis workflow.

Read More

Lesson 2

JUPYTER NOTEBOOKS

Jupyter Notebooks are a great tool for getting started with writing python code.
Though in production you often will write code in scripts, notebooks are
wonderful for sharing insights and data viz!

Read More

Lesson 3

NUMPY

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Lesson 4

PANDAS

Learn the basics of Pandas Series and DataFrames and how to use them to load and
process data.

Lesson 5

MATPLOTLIB AND SEABORN PART 1

Learn how to use matplotlib and seaborn to visualize your data. In this lesson,
you will learn how to create visualizations to depict the distributions of
single variables.

Read More

Lesson 6

MATPLOTLIB AND SEABORN PART 2

In this lesson, you will use matplotlib and seaborn to create visualizations to
depict the relationships between two variables.

Read More




Lesson 1

ANACONDA

Anaconda is a package and environment manager built specifically for data. Learn
how to use Anaconda to improve your data analysis workflow.

Lesson 2

JUPYTER NOTEBOOKS

Jupyter Notebooks are a great tool for getting started with writing python code.
Though in production you often will write code in scripts, notebooks are
wonderful for sharing insights and data viz!

Lesson 3

NUMPY

Learn the basics of NumPy and how to use it to create and manipulate arrays.

Lesson 4

PANDAS

Learn the basics of Pandas Series and DataFrames and how to use them to load and
process data.

Lesson 5

MATPLOTLIB AND SEABORN PART 1

Learn how to use matplotlib and seaborn to visualize your data. In this lesson,
you will learn how to create visualizations to depict the distributions of
single variables.

Lesson 6

MATPLOTLIB AND SEABORN PART 2

In this lesson, you will use matplotlib and seaborn to create visualizations to
depict the relationships between two variables.

Course 4 • 2 weeks




LINEAR ALGEBRA ESSENTIALS

Learn the basics of the beautiful world of Linear Algebra and why it is such an
important mathematical tool in the world of AI.



Lesson 1

INTRODUCTION

Take a sneak peek into the beautiful world of Linear Algebra and learn why it is
such an important mathematical tool.

Read More

Lesson 2

VECTORS

Learn about vectors, the basic building block of Linear Algebra.

Lesson 3

LINEAR COMBINATION

Learn how to scale and add vectors and how to visualize the process.

Lesson 4

LINEAR TRANSFORMATION AND MATRICES

What is a linear transformation and how is it directly related to matrices?
Learn how to apply the math and visualize the concept.

Read More

Lesson 5

VECTORS LAB

Learn how to graph 2D vectors.

Lesson 6

LINEAR COMBINATION LAB

Learn how to computationally determine a vector's span and solve a simple system
of equations.

Lesson 7

LINEAR MAPPING LAB

Learn how to solve some problems computationally using vectors and matrices.

Lesson 8

LINEAR ALGEBRA IN NEURAL NETWORKS

Take a peek into the world of Neural Networks and see how it related directly to
Linear Algebra!




Lesson 1

INTRODUCTION

Take a sneak peek into the beautiful world of Linear Algebra and learn why it is
such an important mathematical tool.

Lesson 2

VECTORS

Learn about vectors, the basic building block of Linear Algebra.

Lesson 3

LINEAR COMBINATION

Learn how to scale and add vectors and how to visualize the process.

Lesson 4

LINEAR TRANSFORMATION AND MATRICES

What is a linear transformation and how is it directly related to matrices?
Learn how to apply the math and visualize the concept.

Lesson 5

VECTORS LAB

Learn how to graph 2D vectors.

Lesson 6

LINEAR COMBINATION LAB

Learn how to computationally determine a vector's span and solve a simple system
of equations.

Lesson 7

LINEAR MAPPING LAB

Learn how to solve some problems computationally using vectors and matrices.

Lesson 8

LINEAR ALGEBRA IN NEURAL NETWORKS

Take a peek into the world of Neural Networks and see how it related directly to
Linear Algebra!

See 9 More Courses



TAUGHT BY THE BEST




MAT LEONARD

Content Developer

Mat is a former physicist, research neuroscientist, and data scientist. He did
his PhD and Postdoctoral Fellowship at the University of California, Berkeley.


ANDREW PASTER

Instructor

Andrew has an engineering degree from Yale, and has used his data science skills
to build a jewelry business from the ground up. He has additionally created
courses for Udacity's Self-Driving Car Engineer Nanodegree program.


JENNIFER STAAB

Instructor

Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a
professor at Florida Polytechnic University. She previously worked at RTI
International and United Therapeutics as a statistician and computer scientist.


LUIS SERRANO

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in
mathematics from the University of Michigan, and a Postdoctoral Fellowship at
the University of Quebec at Montreal.


JUAN DELGADO

Content Developer

Juan is a computational physicist with a Masters in Astronomy. He is finishing
his PhD in Biophysics. He previously worked at NASA developing space instruments
and writing software to analyze large amounts of scientific data using machine
learning techniques.


JUNO LEE

Instructor

As a data scientist at Looplist, Juno built neural networks to analyze and
categorize product images, a recommendation system to personalize shopping
experiences for each user, and tools to generate insight into user behavior.


MIKE YI

Data Analyst Instructor

Mike is a content developer with a multidisciplinary academic background,
including math, statistics, physics, and psychology. Previously, he worked on
Udacity's Data Analyst Nanodegree program as a support lead.


GRANT SANDERSON

Instructor

Grant Sanderson is the creator of the YouTube channel 3Blue1Brown, which is
devoted to teaching math visually, using a custom-built animation tool. He was
previously a content creator for Khan Academy.


ORTAL AREL

Curriculum Lead

Ortal Arel has a PhD in Computer Engineering, and has been a professor and
researcher in the field of applied cryptography. She has worked on design and
analysis of intelligent algorithms for high-speed custom digital architectures.


IVAN MUSHKETYK

Software Engineer

Experienced software engineer with over ten years in the field. Worked at at AWS
and Stripe, as well as several start-ups. An experienced online instructor,
creating courses on AI, data engineering, and AWS. Passionate about leveraging
technology to solve complex problems and sharing knowledge with others.




RATINGS & REVIEWS



Average Rating: 4.7 Stars

592 Reviews




Saif A.



February 27, 2023

That project is more than excellent; it provides a solid foundation for deep
learning. But the content is so large that you need to take care of each part to
get the maximum benefit. And the Udacity team is extremely helpful. 

Read More

Xavier A.



November 7, 2022

good review

VIVEK B.



October 29, 2022

Excellent program.

Muhammad Z.



October 9, 2022

It was a wonderful experience working in a real-time environment. The course
plan was perfectly aligned with my study and future goals.

Abdul R.



September 23, 2022

very helpful program


Page 1 of 118


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2 months

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AI for Trading

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7 months

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(81)

1 month

, Intermediate

Introduction to Machine Learning with TensorFlow

(256)

7 months

, Intermediate

Programming for Data Science with Python

(807)

4 months

, Beginner

Deep Learning

(909)

3 months

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Introduction to Machine Learning with Pytorch

(235)

6 months

, Intermediate

Deep Reinforcement Learning

(328)

5 months

, Advanced

AI Engineer using Microsoft Azure

(1)

3 months

, Advanced

AI for Healthcare

(126)

4 months

, Advanced

Natural Language Processing

(275)

3 months

, Advanced

Introduction to Artificial Intelligence

1 week

, Advanced

Computer Vision

(450)

3 months

, Advanced

Generative AI

2 months

, Intermediate

Intro to Artificial Intelligence

Intermediate


ABOUT AI PROGRAMMING WITH PYTHON

Our AI Programming with Python Nanodegree program offers a beginner-friendly
exploration into Python AI programming. This course covers Python, NumPy,
Pandas, Matplotlib, PyTorch, and Linear Algebra, laying a solid foundation for
building neural networks. You'll engage in practical projects like vector
visualization and Python data types, gaining real-world experience. Taught by
experts like Mat Leonard and Luis Serrano, this Python AI course combines
hands-on learning with industry insights, making it ideal for those starting in
AI. At Udacity, we're dedicated to your success. With our approach, you don't
just learn – you apply. Our practical projects, based on real-world scenarios,
ensure that you gain experience and retain knowledge, enabling you to
immediately apply your new skills. Embrace this opportunity to kickstart your
career in AI with Udacity, where innovation and success are part of our DNA.




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