AI/ML Training Programs
Empowering students and professionals with real-world AI/ML hardware deployment skills.
Onsite & Offline Training
We offer both onsite (at your institution or corporate office) and online sessions for students, faculty, and industry professionals. Our training is hands-on and project-driven, ensuring participants gain practical knowledge in real-time AI/ML workflows.
Training Curriculum
- AI/ML Model Design using Python (TensorFlow, PyTorch, etc.)
- Data collection, preprocessing, training, and validation
- Converting trained models to embedded systems
- Deployment on hardware platforms like Raspberry Pi, ARM Cortex, NVIDIA Jetson
- FPGA development using Verilog/SystemVerilog
- ASIC implementation concepts for high-performance inference
- System-level integration and real-world deployment techniques
Ideal For
This training is perfect for engineering students, faculty members, corporate teams, and R&D professionals aiming to bridge the gap between AI/ML theory and embedded hardware implementation.
