Support on-going Data Analytics and Machine Learning research activities.
Explore complex problems in the domain of automated driving and train/port models into Tensorflow/caffe
Evaluate and compare deep learning algorithms for specific applications and related tasks to improve performance, training, and suitability for embedded applications
Participate in technical discussions and in the creation of new ideas for automotive applications within the existing autonomous vehicle research team
Maintain close contact to the scientific and industrial community in high performance computer, machine learning and perform scouting and assessment of new approaches
Publish technical reports, papers and/or pursue Intellectual Property rights
Work closely and effectively with external partners – corporations, universities and automotive suppliers
Demonstrated ability to carry out independent research and lead projects
Experience with computer vision, machine learning, DNNs, and Numerical Optimization
Experience with sensing systems such as cameras, radar, lidar, GPS, IMUs, etc.
Experience with big data, dataflow, data analytics, cloud storage and associated software tools.
Possess strong oral and written language skills
Present results for internal management and at external venues such as conferences
Experience on Tensorflow/Caffe
Self-Driving Cars Levels
Introduction to Deep Learning
RNN for Steering
Computer Vision View
Convolutional Neural Networks
LeNet for Traffic Signs
RNN for Controlling the SDC
End to end controlling
Carla Stimulator for building your own driving experience.
Building ROC Environment
Self-Driving Cars course with Tensorflow is the course trending all the top MNC's are looking. Self-Driving Cars has been started by top companies like Tesla, Audi, Benz, Ford and Google they are involved aggressively in building self-driving cars. Self-Driving cars combines different fields in order to achieve autonomous driving. At present there are very few companies started with self-driving cars but need for them are much more in future. Pay Scale of a Self-Driving Cars engineer from $1,38,000 to $2,00,000.
Self-Driving Cars Engineer is a blend of Python Programming, Computer Vision, Robotics and Computer Simulation. Learn self-driving cars with various case studies and driven on various tools to make you best and bold on all topics of Self-Driving Cars.
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Kiran Pandey ,United States
Wonderful Experience to take up training on Self-Driving cars, Best models to build and great simulationmodels
Amit Arora ,Mumbai
Good Experience to learn Self-Driving cars from BEPEC, Wonderful case-studies, very tough concepts to grab. Find difficult to learn concepts but with the help from trainer, able to build some small models.
Prany Gur ,Pune
Amazing course! Came with various questions but finally all my questions are answered with this Self-Driving Engineer Course. We suggest BEPEC to take this course to at least 5 Months, we love to spend more time on this
After getting this credential you will be having sound knowledge on Python programming, Tensorflow, Caffe, GPU's, Sensing Systems, Machine learning and Deep Learning Knowledge. Finally you will be job ready to do any kind of Self-Driving Cars
Data Science with R enhanced my knowledge and opened up various jobs
Excellent coding support from BEPEC team
Any person can learn R Programming such a wonderful support
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