Udacity - Self-Driving Car Engineer v1.0.0WEBRip | English | MP4 | 1280 x 720 | AVC ~719 kbps | 29.970 fpsAAC | 126 Kbps | 44.1 KHz | 2 channels | 25:56:29 | 7.17 GBGenre: Video TutorialIf your goal is to learn the skills necessary to become a self-driving car engineer, and then secure a rewarding role in the field where you can start applying those skills, this program is the ideal choice.

The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world that both teaches you the right skills, and supports you in obtaining a job.

Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare for a successful career in the incredible field of autonomous systems.

Content:Part 01-Module 01-Lesson 01_WelcomePart 01-Module 01-Lesson 02_WorkspacesPart 01-Module 01-Lesson 03_Computer Vision FundamentalsPart 01-Module 01-Lesson 04_Finding Lane Lines ProjectPart 01-Module 02-Lesson 01_Career Services Available to YouPart 01-Module 03-Lesson 01_Introduction to Neural NetworksPart 01-Module 03-Lesson 02_MiniFlowPart 01-Module 03-Lesson 03_Introduction to TensorFlowPart 01-Module 03-Lesson 04_Deep Neural NetworksPart 01-Module 03-Lesson 05_Convolutional Neural NetworksPart 01-Module 03-Lesson 06_LeNet for Traffic SignsPart 01-Module 03-Lesson 07_Traffic Sign Classifier ProjectPart 01-Module 03-Lesson 08_KerasPart 01-Module 03-Lesson 09_Transfer LearningPart 01-Module 03-Lesson 10_Behavioral Cloning ProjectPart 01-Module 04-Lesson 01_Camera CalibrationPart 01-Module 04-Lesson 02_Gradients and Color SpacesPart 01-Module 04-Lesson 03_Advanced Techniques for Lane FindingPart 01-Module 04-Lesson 04_Advanced Lane Finding ProjectPart 01-Module 04-Lesson 05_Machine Learning and StanleyPart 01-Module 04-Lesson 06_Support Vector MachinesPart 01-Module 04-Lesson 07_Decision TreesPart 01-Module 04-Lesson 08_Object DetectionPart 01-Module 04-Lesson 09_Vehicle Detection and Tracking ProjectPart 01-Module 04-Lesson 10_The EndPart 01-Module 05-Lesson 01_Get Ready for Term 2 C++Part 02-Module 01-Lesson 01_WelcomePart 02-Module 02-Lesson 01_Introduction and SensorsPart 02-Module 02-Lesson 02_Kalman FiltersPart 02-Module 02-Lesson 03_C++ CheckpointPart 02-Module 02-Lesson 04_Lidar and Radar Fusion with Kalman Filters in C++Part 02-Module 02-Lesson 05_Extended Kalman Filter ProjectPart 02-Module 02-Lesson 06_Unscented Kalman FiltersPart 02-Module 02-Lesson 07_Unscented Kalman Filter ProjectPart 02-Module 03-Lesson 01_Introduction to LocalizationPart 02-Module 03-Lesson 02_Localization OverviewPart 02-Module 03-Lesson 03_Markov LocalizationPart 02-Module 03-Lesson 04_Motion ModelsPart 02-Module 03-Lesson 05_Particle FiltersPart 02-Module 03-Lesson 06_Implementation of a Particle FilterPart 02-Module 03-Lesson 07_Kidnapped Vehicle ProjectPart 02-Module 04-Lesson 01_PID ControlPart 02-Module 04-Lesson 02_PID Controller ProjectPart 02-Module 04-Lesson 03_Vehicle ModelsPart 02-Module 04-Lesson 04_Model Predictive ControlPart 02-Module 04-Lesson 05_Model Predictive Control ProjectPart 02-Module 04-Lesson 06_The EndPart 02-Module 05-Lesson 01_Geometry and Trigonometry RefresherPart 03-Module 01-Lesson 01_WelcomePart 03-Module 02-Lesson 01_SearchPart 03-Module 02-Lesson 02_PredictionPart 03-Module 02-Lesson 03_Behavior PlanningPart 03-Module 02-Lesson 04_Trajectory GenerationPart 03-Module 02-Lesson 05_Path Planning ProjectPart 03-Module 02-Lesson 06_Coming Up ElectivesPart 03-Module 03-Lesson 01_Elective Advanced Deep LearningPart 03-Module 03-Lesson 02_Fully Convolutional NetworksPart 03-Module 03-Lesson 03_Scene UnderstandingPart 03-Module 03-Lesson 04_Inference PerformancePart 03-Module 03-Lesson 05_Semantic Segmentation ProjectPart 03-Module 04-Lesson 01_Elective Functional SafetyPart 03-Module 04-Lesson 02_Introduction to Functional SafetyPart 03-Module 04-Lesson 03_Functional Safety Safety PlanPart 03-Module 04-Lesson 04_Functional Safety Hazard Analysis and Risk AssessmentPart 03-Module 04-Lesson 05_Functional Safety Functional Safety ConceptPart 03-Module 04-Lesson 06_Functional Safety Technical Safety ConceptPart 03-Module 04-Lesson 07_Functional Safety at the Software and Hardware LevelsPart 03-Module 04-Lesson 08_Elective Project Functional SafetyPart 03-Module 05-Lesson 01_Autonomous Vehicle ArchitecturePart 03-Module 05-Lesson 02_Introduction to ROSPart 03-Module 05-Lesson 03_Packages & Catkin WorkspacesPart 03-Module 05-Lesson 04_Writing ROS NodesPart 03-Module 05-Lesson 05_System Integration ProjectPart 03-Module 06-Lesson 01_Completing the ProgramPart 04-Module 01-Lesson 01_Conduct a Job SearchPart 04-Module 02-Lesson 01_Refine Your Entry-Level ResumePart 04-Module 02-Lesson 02_Refine Your Career Change ResumePart 04-Module 02-Lesson 03_Refine Your Prior Industry Experience ResumePart 04-Module 03-Lesson 01_Craft Your Cover LetterPart 05-Module 01-Lesson 01_Develop Your Personal BrandPart 05-Module 01-Lesson 02_LinkedIn ReviewPart 05-Module 01-Lesson 03_Udacity Professional Profile ReviewPart 05-Module 02-Lesson 01_GitHub Profile ReviewPart 06-Module 01-Lesson 01_Introduction and EfficiencyPart 06-Module 01-Lesson 02_List-Based CollectionsPart 06-Module 01-Lesson 03_Searching and SortingPart 06-Module 01-Lesson 04_Maps and HashingPart 06-Module 01-Lesson 05_TreesPart 06-Module 01-Lesson 06_GraphsPart 06-Module 01-Lesson 07_Case Studies in AlgorithmsPart 06-Module 01-Lesson 08_Technical Interviewing Techniques