AI in Embedded systems
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ABOUT THE PROGRAM
The inclusion of Artificial Intelligence (AI) in embedded systems enables the systems to perform intelligent functions, make decisions, and adapt to changing conditions. By leveraging AI algorithms and techniques, embedded systems can process data, extract meaningful insights, and take autonomous actions in real-time. This integration brings AI capabilities closer to the point of data generation and allows for efficient and optimized operation.
Embedded AI course at RV-SKILLS (erstwhile RV-VLSI) will provide an introduction to AI concepts and techniques, with a specific emphasis on their implementation in embedded systems. The course will include hands-on projects and case studies to demonstrate the application of AI techniques in embedded systems.
COURSE HIGHLIGHTS
- Participative and experiential learning model
- 30% of time spent in theory.
- 70% of the time spent in labs and real-life projects.
- Implement various predictive algorithms.
- Usage of various python libraries
- Carry out project as per SDLC.
Topics Covered
- Edge AI
- Python Scripting and Python packages like Pytorch, Tensorflow and Keras
- Machine learning
- Neural Networks
- Deep Learning Implementations in Tensorflow and Keras.
- Data capturing from sensors, Building, and training a neural network embedded board.
Program Details
- Duration: 2 Months
- Mode: Offline
Prospective hires for automotive electronics
Product Developers viz. KPIT, Deepti electronics, FEV, CMC, Tata Technologies, Tata elxsi, TCS, Intel, HCL, WIPRO etc.
Who Should attend this program?
BE/BTECH/ME/MTECH fresher’s (CSE, ISE, IT, ECE, EEE), early Career professionals who are looking to make a transition into core job profiles in AI embedded systems.
Certifications
On Successful Completion of any of the specialization modules along with embedded systems design module, an Advanced Diploma Certificate from RV-SKILLS - Center for Skilling in Emerging Technologies will be awarded to the candidate.