Post Graduate Certificate in Automotive Embedded Systems & Edge AI

Accelerate your career in Automotive Innovation and Intelligent Systems

The Post Graduate Certificate in Automotive Embedded Systems & Edge AI is an advanced industry-oriented program designed for engineers who want to specialize in automotive software, embedded systems, and artificial intelligence.
This program bridges the gap between traditional automotive design and next-generation smart mobility powered by AI and IoT.

💡 About the Course

This program provides a deep understanding of automotive electronics, real-time embedded systems, and edge-based AI applications used in ADAS (Advanced Driver Assistance Systems), autonomous driving, EV technology, and connected vehicles.

You’ll gain expertise through hands-on labs, real-world projects, and embedded hardware simulations, preparing you to design, develop, and optimize intelligent automotive systems.

🚀 Why Choose This Program?

Our Post Graduate Certificate in Automotive Embedded Systems & Edge AI stands out for its industry-driven curriculum, hands-on learning, and AI-powered applications integration.
It’s the perfect upskilling opportunity for professionals and graduates aiming to enter or grow in the automotive embedded domain.

🔑 Key Highlights:

  • 🧠 Comprehensive Curriculum – Embedded C, RTOS, CAN, MATLAB, AI, and Edge Computing.

  • 🚘 Automotive-Focused Learning – ADAS, ECU design, AUTOSAR, and vehicle communication protocols.

  • ⚙️ Hands-On Projects – Work on real-time automotive system simulations and edge-AI deployments.

  • 💼 Career-Focused Training – Resume building, mock interviews, and placement support.

  • 🧑‍🏫 Expert Mentors – Learn from industry veterans with 10+ years of automotive R&D experience.

🧑‍💻 Career Opportunities

Upon completion, you’ll be ready for specialized roles in the automotive and embedded technology sectors.

Job Roles:

  • Automotive Embedded Engineer

  • ADAS Software Developer

  • Edge AI Engineer

  • ECU Software Developer

  • Vehicle Systems Engineer

💰 Average Salary Range: ₹6 LPA – ₹20 LPA
(Depending on skills, experience, and organization)

🧭 Who Should Enroll

This program is ideal for:

  • Engineering graduates (ECE, EEE, CSE, Mechatronics)

  • Working professionals in automotive or embedded domains

  • AI and ML enthusiasts looking to apply skills in embedded systems

🔸 Prerequisite:

Basic knowledge of microcontrollers, C programming, and electronics fundamentals.

🧾 Certification

After successful completion, participants will receive a Post Graduate Certificate in Automotive Embedded Systems & Edge AI, validating their technical proficiency and project-based learning.
This certification enhances your credibility in the automotive and intelligent systems industry.

🌐 Why Choose a Career in Automotive Embedded Systems?

The global automotive industry is rapidly transitioning toward electric, connected, and autonomous vehicles.
This transformation demands skilled engineers who understand both embedded electronics and AI-powered systems.
This course gives you the edge to enter one of the fastest-growing engineering domains.

📞 Enroll Today

Drive your career into the future of intelligent mobility.
Join the Post Graduate Certificate in Automotive Embedded Systems & Edge AI and become an industry-ready automotive innovator.


Syllabus

1. Embedded Systems & Automotive Architecture

  • Microcontrollers, RTOS, and communication protocols (CAN, LIN, UART).
  • ECU design principles and embedded C programming.
  • Automotive safety standards (ISO 26262, AUTOSAR basics).

2. Edge AI Development

  • Introduction to Machine Learning and Deep Learning.
  • Edge computing fundamentals and AI deployment.
  • Model compression, optimization, and TensorFlow Lite on hardware.

3. Automotive Applications with AI

  • ADAS (Advanced Driver Assistance Systems).
  • Predictive Maintenance using sensor data.
  • Vehicle Diagnostics and Smart Infotainment systems.

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This is an advanced certification program designed to teach embedded systems, automotive electronics, and edge AI integration. It prepares learners for careers in smart and autonomous vehicle development.

Engineering graduates or professionals from ECE, EEE, CSE, IT, or Mechatronics backgrounds can apply. Basic knowledge of C programming and electronics is recommended.

You’ll learn embedded system architecture, microcontroller programming, CAN/LIN protocols, RTOS concepts, and AI deployment on embedded hardware for automotive applications like ADAS and vehicle diagnostics.

After completing the course, you can work as an Embedded Engineer, Automotive Software Developer, Edge AI Engineer, or ADAS Developer in top automotive and AI-driven companies.

Yes. Upon successful completion, you’ll receive an industry-recognized Post Graduate Certificate in Automotive Embedded Systems & Edge AI, validating your expertise for global career opportunities.

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