Here are some institutes offering certification courses in embedded systems with a focus on artificial intelligence (AI):

1. Coursera – Introduction to Embedded Machine Learning

- Focus: Introduction to machine learning, neural networks, and deploying models on microcontrollers.

- Duration: Approximately 16 hours

- Certification: Shareable certificate upon completion

2. UC Irvine Division of Continuing Education – Developing Embedded AI Systems

- Target Audience: Embedded systems professionals, software engineers, electrical engineers, and data scientists.

- Focus: Creating embedded AI solutions, deploying machine learning models on edge devices.

3. Software Quality Lab Academy – AI for Embedded Systems

- Mode: Online live seminar

- Focus: Implementing and deploying machine and deep learning models on embedded systems.

4. NVIDIA Deep Learning Institute – Embedded AI Training and Certification

- Focus: Hands-on experience in AI, data science, and accelerated computing.

5. RV Skills – AI in Embedded Systems

- Focus: Introduction to AI concepts and techniques with emphasis on embedded systems.

6. Arm Education – Embedded Systems Essentials with Arm Professional Certificate

- Focus: Foundational skills in embedded systems design and programming.

- Prerequisites: Basic understanding of C/C++ programming.

7. Centre for Development of Advanced Computing (C-DAC) – Embedded Systems and AI

- Focus: Embedded systems design, VLSI, AI, and machine learning.

8. Amrita Centre for Computational Engineering and Networking – Embedded Computing and Control

- Focus: Embedded computing, control systems, AI, and machine learning.

9. Model Engineering College – M.Tech in VLSI Design and Embedded Systems

- Focus: VLSI design, embedded systems, AI, and machine learning.

Yes, several institutes in India offer certification courses in embedded systems with AI. Some well-known options include Emertxe, Technoscripts, Indian Institute of Embedded Systems (IIES), and Wiztech Automations, among others. These courses often combine practical embedded systems training with AI and machine learning concepts, preparing students for industry-ready roles.