About Post Graduate Certificate in Automotive Embedded Systems and Edge AI
Learn to develop embedded systems for automotive applications using microcontrollers, sensors, and communication protocols.
Gain expertise in integrating AI models at the edge for applications like driver assistance, predictive maintenance, and object detection.
Explore real-world automotive use cases including CAN bus communication, ECU programming, and vehicle diagnostics.
Build hands-on projects with hardware simulators and development boards like STM32, Raspberry Pi, or NVIDIA Jetson.
Graduate with a recognized certificate showcasing your capability to engineer intelligent, embedded automotive solutions.
Post Graduate Certificate in Automotive Embedded Systems and Edge AI Curriculam
By the end of this course, you’ll have the expertise to function as a skilled automotive systems engineer, adept at architecting software-defined vehicles, securing ECUs, and implementing real-time Edge AI solutions. Gain valuable insights through personalized mentorship from industry veterans, accelerating your career trajectory and equipping you with the practical knowledge to thrive in the automotive technology sector.
- Advanced Embedded C & C++
- Automotive Cybersecurity & Vehicle Networks
- Bare-Metal PIC & ARM Development
- Edge AI on Jetson & YOLOv8
- Embedded Linux & System Programming
- EV Architecture & Battery Modeling
- IoT with Raspberry Pi & AWS
- Model-Based Design & AUTOSAR
- Real-Time Operating Systems
- Software-Defined Vehicles
Certificate
Upon successful completion of the Post Graduate Certificate in Automotive Embedded Systems and Edge AI, learners will receive a professional certification that confirms their expertise in building intelligent, AI-powered embedded solutions for automotive applications. This certificate validates your proficiency in embedded system design, sensor integration, real-time communication, and deploying machine learning at the edge—preparing you for advanced roles in automotive engineering and smart mobility.
Tools Covered
How we prepare you
Keil
MpLab
Raspberry
RTOS
C C
Embedded C
Python
Linux
RTOS
PROTEUS
How we prepare you
Keil
MpLab
Raspberry
RTOS
C C
Embedded C
Python
Linux
RTOS
PROTEUS
Data Science Foundation Training Panel of Coaches
Krithik Balasubramaniam
Krithik Balasubramanian is a highly accomplished Data Science and Artificial Intelligence (AI) Trainer with over 20 years of extensive experience in the field. He possesses a deep and comprehensive understanding of machine learning, deep learning, natural language processing (NLP), computer vision, big data analytics, and cloud-based AI solutions.
Krithik has consistently delivered impactful training programs tailored to both industry professionals and academic learners, helping bridge the gap between theoretical knowledge and practical application. With a passion for empowering the next generation of AI talent, he remains at the forefront of emerging technologies, integrating the latest tools and techniques into his training methodology.
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This program is ideal for embedded engineers, electronics graduates, automotive developers, and AI enthusiasts looking to work on smart mobility solutions.
You will learn embedded C/C++ programming, automotive communication protocols, RTOS, AI model integration on hardware, and testing of edge-based automotive systems.
Yes! You'll work on multiple projects including smart sensor systems, AI-powered ECUs, and object detection using edge devices.
You'll work with microcontrollers (STM32), Raspberry Pi, RTOS environments, TensorFlow Lite, CAN bus tools, and real-time debuggers.
You will receive a Post Graduate Certificate in Automotive Embedded Systems and Edge AI, recognized by industry for roles in embedded AI and smart vehicle development.
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