Robotics AI Training

Simulation-First | NVIDIA GPU Labs | Job-Oriented Skills

An industry-aligned 80-hour hands-on training program designed to build job-ready skills in Robotics AI using NVIDIA GPUs, simulation, and synthetic data. Learners work on real engineering workflows used in autonomous robots, industrial inspection systems, and intelligent machines.

• Simulation-first approach used by global robotics companies
• Hands-on access to NVIDIA RTX 3090 & RTX A6000 GPU servers
• Real-world robotics AI use cases, not generic ML theory
• Focus on deployable skills and engineering thinking
• Portfolio-grade capstone project

• Dedicated high-memory GPU servers (RTX 3090 & RTX A6000)
• NVIDIA Jetson Orin Nano & AGX Orin for edge AI deployment
• Scheduled GPU access for fair and reliable performance
• Simulation, synthetic data generation, and AI training workloads

• Small batch sizes with one-on-one instructor attention
• Guided labs with GPU-safe execution policies
• Engineering-style assignments and reviews
• Continuous mentoring and feedback
• Capstone demo and technical evaluation

• Robotics simulation and environment design
• Sensor modeling and AI data generation
• Synthetic dataset creation and domain randomization
• Robotic perception model training and evaluation
• Understanding AI failure modes in robotics systems

• Engineering students (final year)
• Working professionals in software, embedded, automation, or robotics
• Robotics startups and system integrators
• Corporate teams upskilling in AI and automation

• Industry-aligned certification upon successful completion
• Portfolio-ready GitHub project and demo
• Strong foundation for robotics AI job roles and advanced specialization

Mode: Instructor-led | Hands-on | GPU-Enabled

Duration: 80 Hours

Format: Weekday / Weekend Batches

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