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Program Duration

8 month program
Requires 42-48 hours of effort per week.

Industry Relevant Projects

Complete 5+ projects designed to reflect industry standards and get access to Projects Plus

Eligibility

Engineering students, engineering graduates, and working professionals in related fields.

Software Tools + Key Technologies Covered

MATLAB, Python, OpenCV, Keras TensorFlow 2, C++, ROS, Eclipse ADORe, TensorFlow, Simulink

Industry Relevant Projects

5+ industry relevant projects + projects guided by an industry expert

Why Skill-Lync Plus?

IEEE certificate

The IEEE Brand continues to be recognized and respected throughout the world. IEEE will be providing CEU-PDH certificates for this course.

IEEE certificate

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About this Specialization

Autonomous vehicles have demonstrated unparalleled technological developments in recent years, and are the future of the automotive industry. By 2025, around 8 million autonomous vehicles are expected to be deployed on the roads. This marks a need for engineers well-versed in the development of autonomous vehicles at an industry level, from both a hardware and software standpoint.

By enrolling in this Specialization, you will get the industry-relevant skills needed to develop Autonomous Vehicle Systems. This specialization has 4 courses designed by instructors with extensive experience in the industry. From these courses, you will understand computer vision technology, and the role of video cameras, radar, LIDAR, processors, and other hardware. You will also learn how hardware is interfaced with software in advanced driver assistance systems (ADAS). This specialization will also take you through motion planning and trajectory optimization, simultaneous localization and mapping (SLAM), as well as the implementation of control theory for autonomous vehicles.

Each of the courses in this specialization come with projects and challenges that require exhaustive use of the software tools and concepts learned to develop industry level ADAS models. Apart from these projects, you will collaborate with an instructor to complete guided projects. This will ensure you develop the right skills needed to apply for core jobs in the autonomous vehicle job market.

Course Overview

Course 1
Introduction to C++
Course 2
Core and Advanced Python Programming
Course 3
Data Structures and Algorithms using Python
Course 4
Applying CV for Autonomous Vehicles using Python
Course 5
Localization, Mapping, and SLAM using Python
Course 6
Path Planning and Trajectory Optimization using C++ and ROS
Course 7
Autonomous Vehicle Controls using MATLAB and Simulink
Click here to view the syllabus for all the courses

Projects Plus

Projects Plus gives you the opportunity to interact with leading experts in the field to complete highly industry-relevant projects that build your professional portfolio. You will get access to live sessions during which experts will guide you through each step of the project. As you work through these projects, you will understand how software tools are used in the real-world, and how they relate to the theoretical concepts taught. Projects Plus equips you with the job ready skills needed to work in the industry.

Industry Level Projects

2D Object Detection with TensorFlow
Trajectory Planning with Optimization Approach for Autonomous Cars
Implementing MCL Algorithm and Localizing a Robot
Adaptive Cruise Control Model Design and Development in Simulink
Development of Integrated Automated Driving Model

Experts Behind the Courses

Our instructors have years of demonstrated experience working in the automotive engineering industry. Here’s a look at their areas of expertise.

Pradeepkumar Keloth
Pradeepkumar Keloth is the Principal Consultant for Electrification at Skill-Lync, and holds a Masters in Instrumentation and Control Systems from the National Institute of Technology, Calicut.
He has 30+ years of experience working in the field, and has a demonstrated understanding of systems, modeling, and simulation in the automotive industry. Previously, he was the Head of Engineering at Bosch, where he headed a team of more than 300 engineers working on powertrain systems for hybrid and all-electric vehicles. Pradeep has extensive experience working with advanced modeling and simulation concepts for virtual prototyping, model based development, virtualized verification and validation, and advanced control function development. He is currently a senior IEEE member, and on the board of studies for many colleges.
Vatsal Shah
Vatsal Shah is the Associate Director of the Electric Vehicle domain at Skill-Lync, and graduated from the Nirma Institute of Technology with a Masters in Power Electronics and Drives.
He has over 14 years of experience working in both academia and the industry. His expertise in the EV domain are demonstrated in the many courses he has developed for Skill-Lync. He is also the brains behind the development of an electric car and scooter at Skill-Lync.
Jegan Amirthalingam
Jegan Amirthalingam is the Associate Director of the Embedded Domain at Skill-Lync, and graduated with a Masters in Automotive Electronics from the PSG College of Technology.
He has more than 11 years of experience working in corporate and academia. In the past, he has overseen a funded project in building a formula student electric race car, and also participated in FSAE Italy 2015 and FORMULA GREEN 2017 India. Jegan has established an Automotive Electronics and control research laboratory focusing on Rapid Control Prototyping and Hardware in the loop simulation (in association with Mathworks and NI system). He has also developed a competency framework for meeting the needs of Automotive Business Unit in verticals such as Embedded System, AUTOSAR and Model based development.

Frequently Asked Question

1. What are the highlights of this specialization?
2. What is Projects Plus?
3. Who can enroll in this specialization?
4. How does this specialization help working professionals in their career?
5.How does this specialization help undergraduate, postgraduate, or doctorate students in their field of study?
6. What background knowledge do I need to have to enroll?
7. Do the courses in this specialization have to be taken in a specific order?
8. What career opportunities do I have in this field?
9. What value does the certificate from this specialization hold?
10. Is this specialization 100% online?
Click here to view all FAQs
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