Autonomous Cars Drones & Electric Mobility - Top Track 2021

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2023-04-16
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Feras Naser
Next Course
4.1
359 Ratings
Get a comprehesive understanding of Autonomous Cars Drones & Electric Mobility - Top Track 2021. This is a pay course from Udemy. 2X Class provides this course data for free. Learn more certificate and details here. Discover the future of transportation with the Autonomous Cars Drones & Electric Mobility course. This top track program covers three key topics: Accessibility to the skies, Autonomy in the Ground, and World Sustainability. Learn about electric mobility, drones, and autonomous cars, and gain a deep understanding of the technology, infrastructure, and challenges involved. With additional services like innovation lectures, coding sessions, and a podcast discussing the latest news in autonomous systems, this course offers a comprehensive learning experience. Taught by Feras Naser, a renowned transport consultant and innovator, this course is perfect for those interested in shaping the future of transportation.
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [October 07th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
This course will cover three main topics to cover our vision of Accessibility to the skies Autonomy in the Ground and World Sustainability that is electric mobility drones and Autonomous Cars In this course you will be learning the following topics:- ELECTRICMOBILITY1- Transportation in the 21st Centaury2- Electric Cars and Electric MobilityKey outcomes:Understanding Electric Mobility Technology infrastructure and Challenges Drones and Autonomous Systems1- Drone UAV and Simulation in the 21st Centaury 2- Unmanned Aerial Vehicles Software Simulation and ControlKey outcomes: The ability to build a DIYdrone and control a drone in a simulation In addition to more advanced topics of planning estimation and control swarms of drones Autonomous Cars 1- Introduction to Autonomous Cars2- State Estimation Localization and Visual Perception of Autonomous Vehicles 3- Motion Planning of Autonomous Cars 4- Applications for Autonomous Cars Key outcomes:In-depth knowledge of Autonomous Cars the ability to build the full software stack of autonomous vehicles this includes the controller the visual perception stack as well the motion planning stack Additional Services: 1- Innovation Wednesdays and Questions Thursdays : (We meet every Wednesday for an in an innovation lecture and We meet every Thursday to answer our students Questions this happens at 12:00 PM GMT) 2- Systems to Code Sessions: A Learning Approach that aims to to explain complex code on a white board and divided the code into groups that can be linked to key systems components as well scientific and engineering equations 3- The Autonomous Systems Podcast :Every Friday we create an episode that discuss the latest news in autonomous systems Potential Interviews with key people in the Autonomous Systems Field 4- Support for Certification:We provide full support through further explanation of concepts in our Questions Thursdays and provision of Coding examples of different autonomous systems software stacks ( Drones and Autonomous cars) The Lecturer:Feras Naser Feras Naser was one of the very early builders of civil drones in the world at the age of 26 without local market provision of an open source flight control system Feras is a civil engineer who holds an MSc in Railway Systems engineering from the University of Birmingham and an Advanced Online Certificate in Autonomous Cars from the University of Toronto Feras run a large group of innovative tech seeds in his group FerasNaser(DOTcom) were he aim to build a thriving innovation communities Feras is responsible for many transport novel solutions including his voice enabled hand held inspection device (inspectro) Feras do publish frequently on various transport topics recently he has published on the potential use of blockchain technologies in railway applicationsFeras recent research and consultancy work is about building novel transport solution and exploring recent advances in science and technology This include wide range of domains including the usage of machine learning in railway applications the possibility of using drones for delivery within cities changes in micro-mobility and remote working environments Feras has special interest in understanding the relations of transport history data and TRUST Also he has a special interest in providing new models of funding for public infrastructure through the exploitation of transport data Specifically the usage of transport data to provide trust servicesFeras is considered one of the most knowledgeable transport consultants in the middle east region he brings great experience in developing novel systems and building agile teams He is responsible for the development of hack sprint methodology as well the systems to code methodology

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?
During this course, students will acquire the following skills and knowledge:
1. Electric Mobility:
- Understanding electric mobility technology infrastructure and challenges.
- Knowledge of transportation in the 21st century.
- Understanding electric cars and electric mobility.
2. Drones and Autonomous Systems:
- Knowledge of drones, UAVs, and simulation in the 21st century.
- Ability to build a DIY drone and control it in a simulation.
- Understanding unmanned aerial vehicles software simulation and control.
3. Autonomous Cars:
- Introduction to autonomous cars.
- Knowledge of state estimation, localization, and visual perception of autonomous vehicles.
- Understanding motion planning of autonomous cars.
- Knowledge of applications for autonomous cars.
- Ability to build the full software stack of autonomous vehicles, including the controller, visual perception stack, and motion planning stack.
Additional Services:
- Innovation Wednesdays and Questions Thursdays: Weekly lectures and Q&A sessions.
- Systems to Code Sessions: Explaining complex code on a whiteboard and linking it to key system components.
- The Autonomous Systems Podcast: Weekly episodes discussing the latest news in autonomous systems.
- Support for Certification: Further explanation of concepts and coding examples for autonomous systems software stacks.
The lecturer, Feras Naser, is a civil engineer with expertise in autonomous systems. He has experience in building civil drones and has published research on various transport topics. He is knowledgeable in developing novel systems and building agile teams.
Who will benefit from this course?
This course will benefit individuals and professionals who are interested in or working in the fields of electric mobility, drones, and autonomous cars.
1. Professionals in the automotive industry: This course will provide in-depth knowledge of electric mobility and autonomous cars, including technology infrastructure, challenges, state estimation, localization, visual perception, motion planning, and applications. Professionals in the automotive industry can benefit from this course to stay updated with the latest advancements and enhance their skills in these areas.
2. Engineers and developers: Individuals working in the field of transportation, robotics, or software development can benefit from this course. They will gain knowledge and skills in building DIY drones, controlling drones in simulations, and building the full software stack of autonomous vehicles. This course will provide them with the necessary expertise to work on projects related to drones and autonomous cars.
3. Researchers and academics: Those involved in research or academia in the fields of transportation, robotics, or autonomous systems can benefit from this course. It covers advanced topics such as planning, estimation, control swarms of drones, and the full software stack of autonomous vehicles. This course can help researchers and academics stay updated with the latest developments and contribute to the advancement of these fields.
4. Innovators and entrepreneurs: Individuals interested in innovation and entrepreneurship in the transportation industry can benefit from this course. It offers additional services such as innovation lectures, Q&A sessions, and a podcast discussing the latest news in autonomous systems. These resources can provide valuable insights and inspiration for innovators and entrepreneurs looking to develop novel transport solutions.
5. Middle East region professionals: Feras Naser, the lecturer of this course, is considered one of the most knowledgeable transport consultants in the Middle East region. Professionals in this region who are interested in or working in the fields of electric mobility, drones, and autonomous cars can benefit from his expertise and experience in developing novel systems and building agile teams.

Course Syllabus

Transportation in the 21st Centaury

Electric Cars and Electric Mobility

Drones – UAV in the 21st Centaury

Unmanned Aerial Vehicles Software, Simulation and Control

ِAn Introduction to Autonomous Cars

State Estimation, Localization and Visual Perception

Motion Planning for Self Driving Vehicle

Autonomous Cars Code and Simulation - Practical Section

Innovation Wednesdays

Questions Thursdays

Cocreation, Books and AI Creativity

Show All
Recommended Courses
ros2-point-clouds-for-autonomous-self-driving-car-using-pcl-1796
ROS2 Point Clouds For Autonomous Self Driving Car using PCL
4.4
Udemy 72 learners
Learn More
Get a comprehesive understanding of ROS2 Point Clouds For Autonomous Self Driving Car using PCL. This is a pay course from Udemy. 2X Class provides this course data for free. Learn more certificate and details here. Discover the fascinating world of 3D mapping and object detection with their course on ROS2 Point Clouds for Autonomous Self Driving Car using PCL. Learn how to create accurate 3D maps using RGB-D cameras and generate high-quality point clouds from your own data. Dive into the Kitti Dataset and explore lidar-based object detection techniques in real-time. Master ROS2, rviz, and PCL to create stunning visualizations and analyze your point cloud data effortlessly. Gain proficiency in implementing point cloud algorithms and segmentation techniques for computer vision applications. Unlock the ability to process real-world 3D Lidar data for autonomous vehicles and robotics. Get started today and unleash your potential in this exciting field.
self-driving-simulations-develop-autonomous-car-with-python-1797
Self Driving Simulations: Develop Autonomous Car with Python
5.0
Udemy 3,003 learners
Learn More
Get a comprehesive understanding of Self Driving Simulations: Develop Autonomous Car with Python. This is a pay course from Udemy. 2X Class provides this course data for free. Learn more certificate and details here. Learn how to develop your own autonomous car simulation with Python in the Self-Driving Simulations course. This extensive project-based course will guide you step by step in building a realistic self-driving vehicle using Python libraries such as Pygame and NEAT. You'll learn the fundamentals of autonomous cars, understand the technologies behind them, and explore their capabilities and limitations. With a basic Python training session included, you'll gain the necessary skills to create a self-driving game or object simulator. Test your car's decision-making ability, sensor integration, and collision prevention system to ensure optimal performance. Start your journey into the world of autonomous vehicles today.
build-cruise-control-driving-in-ue5-1798
Build Cruise Control Driving in UE5
2.5
Udemy 1 learners
Learn More
Get a comprehesive understanding of Build Cruise Control Driving in UE5. This is a pay course from Udemy. 2X Class provides this course data for free. Learn more certificate and details here. Learn how to build Cruise Control Driving in Unreal Engine 5 with software developer Alexandra Kropova. With extensive experience in full-stack web development, app development, and game development, Alexandra has helped produce courses for Mammoth Interactive since 2016. This self-paced online course offers lifetime access, allowing you to learn at your own pace and on any device. Mammoth Interactive is a trusted online course provider, featured on prestigious platforms like Harvard's edX and Business Insider. Join their global student community and gain valuable skills in this exciting course. Don't miss out on this opportunity to learn from the best in the industry.
learn-self-driving-car-ml-python-cv-dl-in-1-course-1799
Learn Self Driving Car ML Python CV DL in 1 course
3.0
Udemy 6 learners
Learn More
Get a comprehesive understanding of Learn Self Driving Car ML Python CV DL in 1 course. This is a pay course from Udemy. 2X Class provides this course data for free. Learn more certificate and details here. Learn Self Driving Car ML Python CV DL in 1 course: Dive into the world of self-driving cars and machine learning with this comprehensive course. From the basics to advanced concepts, you'll gain practical knowledge by building multiple projects, including a self-driving car. Whether you're a student, data analyst, or someone looking to switch careers, this course is designed for anyone interested in machine learning and its applications. With topics like computer vision, deep learning, and neural networks, you'll acquire the skills to create added value in your business using powerful machine learning tools. Start your journey today and unlock endless possibilities.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet