Develop your knowledge on the algorithms for self driving cars with the autonomous navigation online course.
The ‘Autonomous Navigation’ online programme is offered by the International School of Engineering (INSOFE) to the students who are interested in learning about the algorithms associated with the mapping and motion planning of autonomous vehicles. The online course is scheduled for the candidates to learn for free through the ten online sessions. The students are expected to spend three to five hours every week apart from the online sessions for the online programme.
The course instructor for this online training is Dr Parag Mantri, who is a principal data scientist and an associate professor at the International School of Engineering. The professional guidance in this course will help the learners gain an understanding of perception, navigation, path planning, technologies for control and algorithms. The candidates will get an opportunity to know about the concepts of software and mathematics that enable autonomous navigation in self-driven vehicles and develop techniques and strategies for the field.
The ‘Autonomous Navigation’ course is available online to the students on the INSOFE’s official website.
Autonomous Navigation fee structure
Course Fee
Nil
No
This course is aimed at the entry-level and mid-level engineers who would benefit from gaining knowledge about the technologies and engineering involved in self-driven cars. The online course is advantageous for engineers who have knowledge of programming and are interested in mathematics and simulations. The learners with creative thinking and technological perception will be able to contribute to the automotive industry with the insights gained from the course.
The autonomous navigation online course lets the students gain knowledge of the self-driven vehicles industry by evaluating the concepts of deep learning, machine learning, artificial intelligence and engineering. This online course helps the candidates to visualize through a camera followed by the processing of data through computer vision algorithms. Through simultaneous localisation and mapping, the candidates are taught to localise the robot. For self-driven vehicles, path planning is enabled based on the map present and the system is controlled in order to get the favoured map. The learners will acquire automation skills, mapping skills, robotic skills, mathematical skills and mechanical knowledge.
The candidates who are interested in the ‘Autonomous Navigation’ online programme will have to register as per the following steps,
Step 1: Go to the course page on the INSOFE’s official website using the link below, https://www.insofe.edu.in/autonomous-navigation.html
Step 2: Click on the ‘Register Me’ option after filling up the required information.
Step 3: Complete the registration process by following the instructions.
The applicants will have to enter their name, phone number and email address for registration for the online course.
The ‘Autonomous Navigation’ online training course is accessible online for free to the students who are interested in equipping themselves with the knowledge of algorithms used in mapping and path planning for self-driven vehicles. The ten hours course sessions in total help the students to learn about the topics of autonomous navigation starting from any module in the course. The learners are provided with a badge that helps them get recognised on social media by employers.
Dr Parag Mantri Associate Professor Insofe
B.E /B.Tech, M.S, Ph.D
The International School of Engineering has developed an online course on ‘Autonomous Navigation’ to be provided on the official website.
The online programme is scheduled to be conducted online as 10 sessions in total and one hour per session.
There is no mandatory prerequisite but the candidates with a programming background will find the course more accessible.
Yes, this online course is totally free.
Yes, since the modules are independent you can start from any module and complete the course.
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