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Deep Reinforcement Learning Nanodegree Program

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Certification

Deep Reinforcement Learning Nanodegree Program

Deep reinforcement learning skills are the key to amazing advancements in AI. These skills can then be applied to robotics and video games.

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Description

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Features

This course includes

Duration

4 months
Effort
10 hours per week
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Careervira Take

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Course Credibility

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Pedagogy

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Hands-on training

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Career impact

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Pricing

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Assessment

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Skills

Deep Learning TechniquesReinforcement LearningDeep LearningMachine LearningPython

Learning Goals

Master the fundamentals of reinforcement learning by writing your own implementations of many classical solution methods
Apply deep learning architectures to reinforcement learning tasks
Train your own agent that navigates a virtual world from sensory data
Learn the theory behind evolutionary algorithms and policy-gradient methods
Design your own algorithm to train a simulated robotic arm to reach target locations
Learn how to apply reinforcement learning methods to applications that involve multiple, interacting agents
These techniques are used in a variety of applications, such as the coordination of autonomous vehicles

Course Content

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Prerequisites/Requirements

Intermediate to advanced Python experience
You are familiar with object-oriented programming
You can write nested for loops and can read and understand code written by others

Target Audience

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

Instructors

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Alexis Cook

Curriculum Lead

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Arpan Chakraborty

Instructor

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Mat Leonard

Instructor

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Luis Serrano

Instructor

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Dana Sheahan

Content Developer

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Chhavi Yadav

Content Developer

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Juan Delgado

Content Developer

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Miguel Morales

Content Developer

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Corporate Sponsors

Unity

Nvidia

Course Overview

Job assistance

Hands-On Training

Post course interactions

International faculty

Personalized Teaching

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