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

Deep Reinforcement Learning Nanodegree Program

5

(6)

compare button icon

$1,254

$1,066

15% OFF

Visit Course

Visit Course

Course Features

icon

Duration

4 months

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Effort

10 hours per week

icon

Teaching Type

Self Paced

Course Description

This program will help you to improve your machine learning and deep-learning skills by adding reinforcement learning theory and programming techniques. This program does not prepare you to be a particular career or for a specific role. It will however increase your deep learning and reinforcement-learning expertise and equip you with the skills necessary to understand and create your own algorithms. This term consists of 3 projects and 4 courses. A project is a great way to show your skills. Each project will add to your professional portfolio, which will demonstrate to potential employers that you are proficient in reinforcement learning and deep-learning techniques.

Careervira Take

Offered by Udacity, this program helps learners understand deep reinforcement learning skills that power incredible advances in AI. We recommend this course to all who have intermediate to advanced Python experience. This Nanodegree program accepts all applicants regardless of experience and specific background. Industries, tech firms, start-ups and government agencies are some areas where one can work as a machine learning engineer.

cv-icon

Course Credibility

The completion of this certificate renders a certificate from Udacity, an American educational organization t...
cv-icon

Pedagogy

The professors associated with this course have degrees from renowned institutions in cloud development. The ...
cv-icon

Hands-on training

The modules of this course are detail-oriented, comprehensive and practical. Apart from theoretical concepts,...
cv-icon

Career impact

This certification course will help the learners grow their skill set. The learners will learn some popular i...
cv-icon

Pricing

The course is four months long and offers limited access to course material. It is priced at a lower amount a...
cv-icon

Assessment

The assessment method involves completing assignments and undertaking projects under various modules througho...

Course Overview

projects-img

Job Assistance

projects-img

Personlized Teaching

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training

Skills You Will Gain

Prerequisites/Requirements

check-card-img

Intermediate to advanced Python experience

check-card-img

You are familiar with object-oriented programming

check-card-img

You can write nested for loops and can read and understand code written by others

What You Will Learn

check-card-img

Master the fundamentals of reinforcement learning by writing your own implementations of many classical solution methods

check-card-img

Apply deep learning architectures to reinforcement learning tasks

check-card-img

Train your own agent that navigates a virtual world from sensory data

check-card-img

Learn the theory behind evolutionary algorithms and policy-gradient methods

check-card-img

Design your own algorithm to train a simulated robotic arm to reach target locations

check-card-img

Learn how to apply reinforcement learning methods to applications that involve multiple, interacting agents

check-card-img

These techniques are used in a variety of applications, such as the coordination of autonomous vehicles

Target Students

check-card-img

This Nanodegree program accepts all applicants regardless of experience and specific background

Course Instructors

Author Image

Alexis Cook

Curriculum Lead

Alexis is an applied mathematician with a Masters in Computer Science from Brown University and a Masters in Applied Mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.
Author Image

Arpan Chakraborty

Instructor

Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
Author Image

Mat Leonard

Instructor

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

Corporate Sponsors

Course Reviews

Average Rating Based on 6 reviews

5.0

100%

$1,254

$1,066

15% OFF

Visit Course

Visit Course

Offer Percent Icon

1 Coupon Available
Get upto 75% Discount