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ONLINE DELIVERY VIA EMAIL - Expert Training Robotics Software Engineer 2019 Video Training Course DOWNLOAD Downloadable Content

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Highlights

  • Disclaimer:Online Delivery via E-mail. No Physical Dispatch. Non-Cancellable Product
  • Stream:Robotics
  • Certification:No
  • Language:English
  • Format:Downloadable Content
  • Type:Online Fulfillment
  • For queries and concerns drop an email to learning@snapdeal.com
  • SUPC: SDL491903312

Description

Robotics Software Engineer 2019 Video Training Course DOWNLOAD DOWNLOAD Size : 4.40 GB 01-Lesson 01_Welcome 01-Lesson 02_What is a Robot 01-Lesson 03_Search and Sample Return 01-Lesson 04_Career Support Overview 01-Lesson 05_Get Help from Peers and Mentors 01-Lesson 06_Get Help with Your Account 03-Lesson 01_GitHub 04-Lesson 01_ Explores - Biologically Inspired Robots 04-Lesson 02_6 Questions on Robotics Careers 05-Lesson 01_Intro to Kinematics 05-Lesson 02_Forward and Inverse Kinematics 05-Lesson 03_Project Robotic Arm Pick Place 06-Lesson 01_ Explores - Human Robot Interaction Robot Ethics 06-Lesson 02_Product Pitch 07-Lesson 01_Perception Overview 07-Lesson 02_Introduction to 3D Perception 07-Lesson 03_Calibration, Filtering, and Segmentation 07-Lesson 04_Clustering for Segmentation 07-Lesson 05_Object Recognition 07-Lesson 06_3D Perception Project 08-Lesson 01_ Explores - Soft Robotics 09-Lesson 01_ Explores - Robot Grasping 10-Lesson 01_Introduction to Controls 10-Lesson 02_Quadrotor Control using PID 11-Lesson 01_ Explores Swarm Robotics 11-Lesson 02_Networking in Robotics 12-Lesson 01_Intro to Neural Networks 12-Lesson 02_TensorFlow for Deep Learning 12-Lesson 03_Deep Neural Networks 12-Lesson 04_Convolutional Neural Networks 12-Lesson 05_Fully Convolutional Networks 12-Lesson 06_Lab Semantic Segmentation 12-Lesson 07_Project Follow Me 12-Lesson 08_Term 1 Outro 13-Lesson 01_Introduction to C++ for Robotics 01-Lesson 01_Introduction to Term 2 01-Lesson 02_The Jetson TX2 01-Lesson 03_Interacting with Robotics Hardware 01-Lesson 04_Lab Hardware Hello World 01-Lesson 05_Robotics Sensor Options 02-Lesson 01_Inference Development 02-Lesson 02_Inference Applications in Robotics 02-Lesson 03_Project Robotic Inference 03-Lesson 01_Introduction to Localization 03-Lesson 02_Kalman Filters 03-Lesson 03_Lab Kalman Filters 03-Lesson 04_Monte Carlo Localization 03-Lesson 05_Build MCL in C++ 03-Lesson 06_Project Where Am I 04-Lesson 01_Introduction to Mapping and SLAM 04-Lesson 02_ Occupancy Grid Mapping 04-Lesson 03_Grid-based FastSLAM 04-Lesson 04_GraphSLAM 04-Lesson 05_Project Map My World Robot 05-Lesson 01_Intro to RL for Robotics 05-Lesson 02_RL Basics 05-Lesson 03_Q-Learning Lab 05-Lesson 04_Deep RL 05-Lesson 05_DQN Lab 05-Lesson 06_Deep RL Manipulator 05-Lesson 07_Project Deep RL Arm Manipulation 06-Lesson 01_Intro to Path Planning and Navigation 06-Lesson 02_Classic Path Planning 06-Lesson 03_Lab Path Planning 06-Lesson 04_Sample-Based and Probabilistic Path Planning 06-Lesson 05_Research in Navigation 06-Lesson 06_Project Home Service Robot 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn 07-Lesson 02_Optimize Your GitHub Profile 08-Lesson 01_Completing the Program Part 03- 01-Lesson 01_Project Introduction Part 03- 01-Lesson 02_Project Details Part 04- 01-Lesson 01_Autonomous Systems Interview Practice

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