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Program Duration

8 months.
Requires 42 to 48 hours of effort per week.

Industry Level Projects

5+ industry relevant projects and get access to Projects Plus

Eligibility

Engineering students, engineering graduates, or working professionals with a background in related fields.

Software Tools + Key Technologies Covered

Python, C++.

Industry Relevant Projects

5+ industry relevant projects. Project Plus gives you access to instructor guided projects with live one-on-one sessions.

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

Sensor fusion technology is making great strides in the autonomous driving space. By integrating new state of the art sensors - it opens up a wide range of opportunities for experienced engineers with job ready skills to push these advancements forward.

By enrolling in this specialization, you will get access to eight courses fundamental to the development of sensor fusion systems for autonomous vehicles. From this specialization, you will…

  • Gain the industry-relevant skills and knowledge needed to develop sensor fusion technology for autonomous vehicles just like the experts working on the field do.
  • Learn about the mathematics involved in various machine learning and artificial intelligence algorithms.
  • Learn about camera systems, radar, and LIDAR sensors.
  • Get a thorough understanding of the mechanisms behind localization and mapping in autonomous vehicles and robots, as well as understand the application of Bayesian and Kalman Filters.
  • Work with C++ and python technologies to develop programs that interface hardware and software to receive and interpret data.

Each course in this program includes challenges and projects designed by leading experts in the industry. You will also work with an instructor to complete Projects Plus that reflect large scale projects happening in the industry. By the end of this specialization, you will have the theoretical knowledge and practical skills needed to apply for roles in the sensor fusion market for autonomous vehicles.

Course Overview

Course 1
Introduction to C++
Course 2
Core and Advanced Python Programming
Course 3
Data Structures and Algorithms using Python
Course 4
Math behind Machine Learning and Artificial Intelligence using Python
Course 5
Introduction to Camera Systems using C++
Course 6
LiDAR Sensor and Data Processing
Course 7
Radar Sensor Processing
Course 8
Localization, Mapping, and SLAM using Python
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

Localizing a Robot
Grid Map Algorithm using Turtlebot
Implementation of Basic SLAM Algorithm
Logistic Regression
Gradient Descent

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 program help working professionals in their career?
5.How does this program 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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