Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

AI Programming with Python

Course Cover

5

(6)

compare button icon
Course Report - AI Programming with Python

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

3 months

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Effort

10 hours per week

icon

Teaching Type

Self Paced

Course Description

The AI Programming with Python Nanodegree program consists of curriculum and content to support two (2) projects. The Udacity reviewer network will evaluate each project. We expect that students will complete the program within three (3) months. Students can work 10 hours per week. You will receive feedback and be asked to submit the project again if it fails.

Course Overview

projects-img

Job Assistance

projects-img

Personlized Teaching

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Basic computer skills like managing files, navigating the Internet, and running programs will be useful

Basic algebra and programming knowledge in any language

Computer running OS X or Windows

What You Will Learn

Introduction to Python

Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib

Linear Algebra Essentials

Calculus Essentials

Target Students

This Nanodegree program accepts everyone, regardless of experience and specific background

Course Instructors

Author Image

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.
Author Image

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.
Author Image

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.
Author Image

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 a...

Course Reviews

Average Rating Based on 6 reviews

5.0

100%

Course Cover