Become a Robotics Software Engineer Online course

Price: 6.00 USD | Size: 5.5 GB | Duration : 19 +  Hours | 550 Video Lessons | ★★★★★ 4.5

BRAND : Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

Become a Robotics Software Engineer Online course 

Course  Details

Course OVERVIEW - WHY SHOULD I TAKE THIS Course?

Why should I Buy This Course?

Demand for software engineers with advanced robotics skills far exceeds the current supply of qualified talent. This makes this an ideal time to pursue career advancement in this field, and this Course represents a great opportunity to develop and practice core robotics skills such as C++, ROS, and probabilistic robotics algorithms such as Localization, Mapping, SLAM, Path Planning and Navigation.

You will graduate from this Nanodegree Course having completed five hands-on robotics projects in the Gazebo simulator; these will serve as portfolio pieces demonstrating your acquired skills to hiring managers and recruiters. These skills will help you pursue and advance a career in the robotics field.

What jobs will this Course prepare me for?

As a Robotics Software Engineer, you'll be equipped to bring value to a wide array of industries and be eligible for many roles.

Your opportunities might include:

developing pick and place robotics systems for advanced manufacturing.

developing the next surgical robot for the healthcare industry.

building the next form of package delivery either on the ground or in the air.

designing exploratory robots that can be deployed to discover new planets.

designing rescue robots to assist people in disasters.

How do I know if this Course is right for me?

The Robotics Software Engineer Nanodegree Course is designed for those looking to pursue or advance a career in the robotics field. In this Course, you will learn and practice the core robotics skills that employers have told us serve as the foundation for the work robotics engineers do: C++, ROS, Gazebo, and robotics algorithms such as Localization, Mapping, SLAM, Path Planning, and Navigation amongst others.

If you want to work in a field where you get to see your solutions come to life, and solve some of the world’s most difficult and exciting problems, the Robotics Software Engineer Nanodegree Course is right for you.

How is the Robotics Software Engineer Nanodegree Course different from your Machine Learning Engineer Nanodegree Course or your Self-Driving Car Engineer Nanodegree Course?

The Robotics Software Engineer Nanodegree Course focuses on teaching the core robotics skills needed for a successful robotics software engineering career. The Course focuses on Localization, Mapping, SLAM, Path Planning, and Navigation. These are taught using C++ and the Robot Operating System (ROS) framework.

The Self-Driving Car Engineer Nanodegree Course focuses entirely on a specialized application of robotics—it uses robotics concepts and applies them to a self-driving car. If your primary interest is in the application of robotics, machine learning, and artificial intelligence to autonomous vehicles, then this is the Course for you. However, if you want to learn and practice core robotics skills in C++ and ROS, with an emphasis on robotics algorithms, then the Robotics Software Engineer Nanodegree Course is your best option.

I have graduated from the Robotics Software Engineer Nanodegree Course but I want to keep learning. Where should I go from here?

Both our Self-Driving Car Engineer and Flying Car and Autonomous Flight Engineer Nanodegree Courses address specific areas of robotics and autonomous systems. If you want to continue your education either on the ground or in the air, take one of these exciting Nanodegree Courses next!

To succeed in this Nanodegree Course, you should have experience with the following:

Advanced knowledge in any object-oriented Courseming language, preferably C++

Intermediate Probability

Intermediate Calculus

Intermediate Linear Algebra

Basic Linux Command Lines

If I do not meet the requirements to enroll, what should I do?

We created the Intro to Self-Driving Cars Nanodegree Course to help prepare prospective students for more advanced Courses. That introductory Course will teach you the skills you need to be successful in the Robotics Software Engineer Nanodegree Course, including C++, linear algebra, calculus, and statistics.

TUITION AND TERMS OF Course

How is this Nanodegree Course structured?

The Robotics Software Engineer Nanodegree Course is comprised of content and curriculum to support five (5) projects. We estimate that students can complete the Course Duration 19 + Hours

Each project will be reviewed by the  Expert Training network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Main Modules

Part 01-Module 01-Lesson 01_Welcome

Part 01-Module 01-Lesson 02_What is a Robot

Part 01-Module 01-Lesson 03_Search and Sample Return

Part 01-Module 01-Lesson 04_Career Support Overview

Part 01-Module 02-Lesson 01_Introduction to ROS

Part 01-Module 02-Lesson 02_Packages & Catkin Workspaces

Part 01-Module 02-Lesson 03_Write ROS Nodes

Part 01-Module 03-Lesson 01_GitHub

Part 01-Module 04-Lesson 01_ Explores - Biologically Inspired Robots

Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers

Part 01-Module 05-Lesson 01_Intro to Kinematics

Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics

Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place

Part 01-Module 06-Lesson 01_ Explores - Human Robot Interaction & Robot Ethics

Part 01-Module 06-Lesson 02_Product Pitch

Part 01-Module 07-Lesson 01_Perception Overview

Part 01-Module 07-Lesson 02_Introduction to 3D Perception

Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation

Part 01-Module 07-Lesson 04_Clustering for Segmentation

Part 01-Module 07-Lesson 05_Object Recognition

Part 01-Module 07-Lesson 06_3D Perception Project

Part 01-Module 08-Lesson 01_ Explores - Soft Robotics

Part 01-Module 09-Lesson 01_ Explores - Robot Grasping

Part 01-Module 10-Lesson 01_Introduction to Controls

Part 01-Module 10-Lesson 02_Quadrotor Control using PID

Part 01-Module 11-Lesson 01_ Explores Swarm Robotics

Part 01-Module 11-Lesson 02_Networking in Robotics

Part 01-Module 12-Lesson 01_Intro to Neural Networks

Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning

Part 01-Module 12-Lesson 03_Deep Neural Networks

Part 01-Module 12-Lesson 04_Convolutional Neural Networks

Part 01-Module 12-Lesson 05_Fully Convolutional Networks

Part 01-Module 12-Lesson 06_Lab Semantic Segmentation

Part 01-Module 12-Lesson 07_Project Follow Me

Part 01-Module 12-Lesson 08_Term 1 Outro

Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics

Part 02-Module 01-Lesson 01_Introduction to Term 2

Part 02-Module 01-Lesson 02_The Jetson TX2

Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware

Part 02-Module 01-Lesson 04_Lab Hardware Hello World

Part 02-Module 01-Lesson 05_Robotics Sensor Options

Part 02-Module 02-Lesson 01_Inference Development

Part 02-Module 02-Lesson 02_Inference Applications in Robotics

Part 02-Module 02-Lesson 03_Project Robotic Inference

Part 02-Module 03-Lesson 01_Introduction to Localization

Part 02-Module 03-Lesson 02_Kalman Filters

Part 02-Module 03-Lesson 03_Lab Kalman Filters

Part 02-Module 03-Lesson 04_Monte Carlo Localization

Part 02-Module 03-Lesson 05_Build MCL in C++

Part 02-Module 03-Lesson 06_Project Where Am I

Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM

Part 02-Module 04-Lesson 02_Occupancy Grid Mapping

Part 02-Module 04-Lesson 03_Grid-based FastSLAM

Part 02-Module 04-Lesson 04_GraphSLAM

Part 02-Module 04-Lesson 05_Project Map My World Robot

Part 02-Module 05-Lesson 01_Intro to RL for Robotics

Part 02-Module 05-Lesson 02_RL Basics

Part 02-Module 05-Lesson 03_Q-Learning Lab

Part 02-Module 05-Lesson 04_Deep RL

Part 02-Module 05-Lesson 05_DQN Lab

Part 02-Module 05-Lesson 06_Deep RL Manipulator

Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation

Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation

Part 02-Module 06-Lesson 02_Classic Path Planning

Part 02-Module 06-Lesson 03_Lab Path Planning

Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning

Part 02-Module 06-Lesson 05_Research in Navigation

Part 02-Module 06-Lesson 06_Project Home Service Robot

Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn

Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile

Part 02-Module 08-Lesson 01_Completing the Program

Part 03-Module 01-Lesson 01_Project Introduction

Part 03-Module 01-Lesson 02_Introduction to ROS

Part 03-Module 01-Lesson 03_Packages & Catkin Workspaces

Part 03-Module 01-Lesson 04_Write ROS Nodes

Part 03-Module 01-Lesson 05_Search

Part 03-Module 01-Lesson 06_Project Details

 

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