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Post Graduate Program in Computer Vision for Autonomous Vehicles in Bangalore

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

PG Program

32 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 13 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Python, Java, Anaconda, SQLite, ROS, GitHub, CARLA, OpenCV, TensorFlow, Keras TensorFlow 2

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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 in Bangalore

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 in Bangalore

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 13 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

Get Ready to Become a Computer Vision Expert with Post Graduate Program in Computer Vision for Autonomous Vehicles by Skill-Lync

Skill-Lync's Post Graduate Program in Computer Vision for Autonomous Vehicles is one of the best computer vision courses in Bangalore. The eight-month autonomous course in Bangalore is online and prepares students to become computer vision experts for autonomous vehicles.

The course focuses on everything from the fundamentals of image processing to advanced topics in 3D vision and computer architecture frameworks like ResNet and Yolo. One of the best online courses for Autonomous Vehicles in Bangalore, this course covers the fundamentals of linear algebra, Python, and OpenCV, as well as advanced subjects like image segmentation and stereo imaging.

The autonomous vehicles course in Bangalore also offers practical experience implementing cutting-edge computer vision algorithms and discusses Keras, Python, OpenCV, and Tensor Flow techniques. With real-world problems and examples to provide an industry-ready learning experience, Skill-Lync's computer vision certificate courses help students gain the understanding required in the field of automation and computer vision. 

FAQs 

Why go for a Post Graduate Program in Computer Vision for Autonomous Vehicles in Bangalore?

Through this certification course for computer vision, students will have access to skilled technical engineers that will be ready to assist if needed. Students will also learn the following concepts while enrolled in Skill-Lync's Post Graduate Program In Computer Vision For Autonomous Vehicles:

  1. Python Programming (Basic and Advanced).
  2. Algorithms and data structures
  3. Python tutorial on the fundamentals of computer vision.
  4. Camera Systems: An Overview
  5. Python for Machine Learning.
  6. An overview of ROS, Github, and Linux.
  7. Algebra linear.
  8. An overview of OpenCV.

What are the prerequisites for taking up a Post Graduate Program in Computer Vision for Autonomous Vehicles in Bangalore?

There are no prerequisites for this autonomous vehicle training in Bangalore. Anyone interested in the field can opt for this course. Though having a Bachelor's degree in Mechanical and Automobile Engineering will be beneficial.  

What is the program fee of Skill-Lync's PG Course of Computer Vision for Autonomous Vehicles in Bangalore?

The course is available in three payment plans: the basic, the pro and the premium. The basic plan is at INR 17,500 for ten months with nine months of access; the pro plan is at INR 22,500 for ten months with eighteen months of access, and the premium plan is at INR 27,500 for ten months with a lifetime of access. 

What are the benefits of pursuing a PG Course in Computer Vision for Autonomous Vehicles in Bangalore?

One of the most prominent benefits of this online computer vision course is that it includes one-on-one or group assistance courses. Some of the students of the course will also receive a merit certificate after completing the PG in computer vision Courses.

Pursuing a online computer vision course at Skill-Lync would offer many benefits to you,

  • Industry-oriented curriculum.
  • Hands-on experience in solving industry projects.
  • Email, forum, individual video and group video support from the technical support team to clear your doubts.
  • A certificate of completion.

What are the career prospects after completing the PG Course in Computer Vision for Autonomous Vehicles(Bangalore)? 

After completing the PG Course in Computer Vision for Autonomous Vehicles, you can apply for different positions, such as in Expertise fields:-

  1. Computer vision/ ML Engineer.
  2. System Software Engineer-Autonomous Vehicle.
  3. Perceptive Engineer
  4. Software Engineer.
  5. Robotics Control Engineer
  6. Vision Engineer.

What is the expected salary range after completing a PG Course in Computer Vision for Autonomous Vehicles in Bangalore?

The average salary for Computer Vision Engineer is about INR 6.9 Lakhs. 

Instructors profiles

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

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8 industry experts

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

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4 - 19 years in the experience range

Instructors with 4 - 19 years extensive industry experience.

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Areas of expertise

  • Machine Learning
  • Deep Learning
  • Electric vehicles
  • Full Stack development
  • Computer Science
  • Robotics and Autonomous Systems
  • Autonomous Vehicle Controls

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