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Post Graduate Program in Computer Vision for Autonomous Vehicles

This 8 month program trains the student on becoming proficient in Computer Vision for Autonomous Vehicles

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Program Overview

  • Focuses right from the basics of image processing techniques to in-depth concepts of 3D vision, computer architecture frameworks such as ResNet, Yolo, etc.
  • The course provides foundation in Linear algebra, Python and OpenCV, and takes a gradual approach to advanced concepts of image segmentation, stereo imaging, etc.
  • Hands-on experience in implementing the state of the art computer vision algorithms.
  • Key tools such as Tensor flow, Keras, Python OpenCV and ML & DL approaches will be covered.
  • Real-world problems and examples give a ready-for-industry learning experience.

Syllabus

On a daily basis we talk to companies to fine tune our curriculum. Here are the list of courses that are part of this program

Why enrol in the Program?

  • You will gain knowledge in foundations of Linear algebra, Python and OpenCV, and take a gradual approach to advanced concepts of image segmentation, stereo imaging, etc.
  • You will learn computer vision algorithms.
  • Key tools such as Tensor flow, Keras, Python OpenCV and ML & DL approaches will be covered.
  • Real-world problems and examples give a ready-for-industry learning experience.
  • Computer vision/ ML Engineer
  • System Software Engineer-Autonomous Vehicle
  • Perceptive Engineer
  • Vision Engineer
  • Software Engineer
  • Robotics Control Engineer
  • Industrial Engineer

Courses in this PG Program

  • 8 Courses in the Program

Course Syllabus

On a daily basis we talk to companies expert in these domains to fine tune our curriculum. Here are the list of courses that are part of this program. In total, there are 8 courses that are available in this program

Course 1

Core and Advanced Python Programming


Course 2

Data Structures and Algorithms using Python


Course 3

Basics of Computer Vision using Python


Course 4

Introduction to Camera Systems Using C++


Course 5

Introduction to Machine Learning Algorithms and their Implementation in Python


Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 15 Projects that are available in this program.

Course 1

Data Structures and Algorithms using JAVA


Course 2

Core and Advanced Python Programming


Course 3

Machine Learning Fundamentals In Depth


Course 4

Basics of Computer Vision using Python


Course 5

Introduction to Camera Systems Using C++


Our courses have been designed by industry experts to help students achieve their dream careers

Companies where our students got jobs

Whether you’re looking to start a new career, or change your current one, Skill-Lync helps you get ready to get placed in Top Companies.

Ola ElectricRenault-Nissan Technology and Business Centre India Private LtdTech MahindraHCLMahindra & MahindraCYIENTExpleo GroupTATA ElxsiActalentCapgeminiSegula TechnologiesQuest GlobalHinduja TechSATVENSona Comstar
+200 more companies

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Post Graduate Program in Computer Vision for Autonomous Vehicles

The Post Graduate Program in Computer Vision for Autonomous Vehicles online certification course by Skill Lync helps students get one step closer to the automation and computer vision field.

This computer vision for autonomous vehicles online certification course helps students learn more about computers and intelligent machines. After learning this course, students understand how to use advanced machines and learn more about data structures and artificial intelligence. 

This also helps solve problems with effective and productive methods developed in Machine Learning and Artificial Intelligence. With the help of these technologies and tools, we can help train machines to gain high-level knowledge of these data sources. It likewise allows them to learn from previously subsisting data sources such as video reels, photo albums, etc. As one of the best computer vision courses, the curriculum includes 13 industry-level projects to make you job-ready. The computer vision certification course is carefully curated by industry experts with relevant work experience.

Computer vision and automotive cybersecurity make complex applications of machine learning algorithms to determine how to recognise and identify objects in images and videos. It depends massively on neural and deep neural networks that use network architecture such as CNNs (convolutional neural networks), RNNs (recurrent neural networks), and many more. 

Who Should Take This Best Computer Vision Course?

Automotive cybersecurity or vehicle network security is a pretty diverse field from image processing, and it is one of the most superior postgraduate programs in computer science courses. 

If you want to learn computer vision with python, you must not get confused between the two as both of these are pretty diverse fields that you can learn in detail when you enrol for this online course. 

Also, if you have a flair for learning more about computer systems, and network security and aspire to enter the world of cloud computing, this course is the perfect choice to enhance your skills and upgrade your career. 

In addition, you can provide computers and machines with the ability to understand modern digital images to make online searches effortless for everyone. Apart from this, you can also understand the concepts of Artificial Intelligence, machine learning and network security in detail and how you can leverage its benefits. 

What Will You Learn?

This automotive cybersecurity program is divided into eight modules. Every module of this program comes in a way that makes students experts in the realm of computer programming by clearing all the subject-related doubts and queries. 

At the end of every week, students solve some challenging questions or get a test paper to understand the concepts better. Each module holds two principal projects that the students must work on to improve their knowledge and gain hands-on practical learning. This computer vision certification course equips students to acquire all the industry-relevant skills that will help them perform better at the later stages in life. 

And do you know the best news? Our expert technical engineers in the program will always be available to help you throughout the course. While pursuing the Post Graduate Program In Computer Vision For Autonomous Vehicles at Skill-Lync, you will learn the following things. 

Key Highlights of The Programme

Here are some of the key highlights of this program:

  • The duration of this computer vision training is around eight months, during which you get one-on-one or group support lessons. 
  • After completing this course, students get a merit certificate to help them earn better job prospects. 
  • Flexible course fees that include telephone and Email support and a course-specific forum group.
  • Exceptional course counselling and personalised aid from expert engineers.

Career Opportunities after Taking the Course

  • Design Engineering - The primary job is creating, testing, and enhancing the product designs and manufacturing using CAD software. 
  • Field Service Technician - Field service technicians usually remain accountable for aiding customers in installing and maintaining any high-level equipment. 
  • Strategic Account Manager - A Strategic Account Manager embodies the complete variety of company products and services to selected clients while leading the client account outlining the cycle and warranting specified customers' requirements and expectations are satisfied by the organisation.
  • Industrial Engineer - Industrial engineers, create efficient and practical systems that combine operators, tools, machines, supplies, data, and energy to create a unique product or render an unparalleled service. In addition, industrial engineers serve either in offices or in the locations they attempt to develop, depending on their jobs.

FAQs on the Post Graduate Program in Computer Vision for Autonomous Vehicles

1, Who can enrol on this course?

Any student with a background in computer science or students with basic programming skills can enrol themselves in computer science certificate courses

2, Which companies hire students with a Post Graduate Program In Computer Vision For Autonomous Vehicles?

The top companies that hire students with Post Graduate Program In Computer Vision For Autonomous Vehicles are Amazon, Facebook, Google, and many more. 

3, Why is the Post Graduate Program In Computer Vision For Autonomous Vehicles useful?

This online Post-Graduate Program In Computer Vision For Autonomous Vehicles can play a vital role in helping students with upskilling purposes and earning better job prospects. 

4, what average salary can students get after pursuing this Post Graduate Program In Computer Vision For Autonomous Vehicles?

The average salary you can expect after pursuing a Post Graduate Program In Computer Vision For Autonomous Vehicles is around 4 lakhs per annum.  

5, What is the duration of this advanced computer vision course?

The duration of these online computer science courses is around eight months.

6, Can a student with zero programming knowledge join this computer vision training course?

Yes, you can enrol for this course even if you do not possess any programming experience. 

7, Will I get a certificate for this course?

Yes, you will get a certificate once you complete this course.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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9 industry experts

Our instructors are industry experts along with a passion to teach.

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4 - 25 years in the experience range

Instructors with 4 - 25 years extensive industry experience.

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Areas of expertise

  • Machine Learning
  • Deep Learning
  • Electric vehicles
  • Full Stack development
  • Biomedical Engineering
  • Robotics and Autonomous Systems
  • Autonomous Vehicle Controls
  • Mathematics and Computing

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