From Mechanical Design to Intelligent Autonomy — design, simulate, and deploy production-ready robots across embedded control, ROS 2 navigation, digital twins, and edge AI.
Industry-grade toolchain you'll master
Deep dive into four career paths aligned with demanding robotics engineering profiles.
Mechanical kinematics, PCB design, and real-time firmware.
Master the industry-standard framework for robot software.
High-fidelity simulation to train intelligent agents safely.
Computer vision and deep learning on edge hardware.
Four specialized tracks designed to bridge the gap between mechanical engineering, embedded systems, and artificial intelligence.
Full mechanical design, motor control, sensor suite integration, and closed-loop motion control with FreeRTOS firmware.
End-to-end ROS 2 navigation stack: sensor fusion for localization, SLAM map build, global/local planners with Nav2, and obstacle avoidance for a differential-drive robot.
Train an RL agent in simulation for navigation or manipulation and deploy to hardware with domain adaptation and transfer learning techniques.
Train a detection model, optimize and deploy on Jetson/Coral with ROS 2 integration for real-time inference in a robotic system.
Industry-standard tools and platforms taught throughout the program
Four phases, one transformation. From foundations to production-ready autonomous systems.
Foundation & Hardware →
Mechanical fundamentals and introduction to the ROS 2 environment.
Deliverable:CAD model & ROS 2 docs
Core Systems & SLAM →
Building the embedded controller and implementing basic LIDAR-based mapping.
Deliverable:Robot base with live SLAM
Advanced Autonomy & AI →
Integrating Nav2 behavior trees and deploying perception models on edge hardware.
Deliverable:Autonomous navigation demo
Capstone & Production →
Final project polish, documentation, and performance benchmarking for real-world use.
Deliverable:GitHub repo + showcaseWatch our learners evolve from fragmented knowledge to production-ready robotics engineers in 16 weeks.
Skills scattered across coding, hardware, and theory
Robots work in simulation but break on hardware
Limited understanding of industry-grade systems
Design, build, and deploy complete autonomous systems
Deploy optimized ML models on edge hardware confidently
5+ capstone projects ready for hiring managers
Join 2,400+ engineers who already made the leap.
Build systems that prove your technical depth to hiring managers.
Description here.
Real stories from engineers who transformed their careers.
"The Autonomous Robotics Program completely changed my career trajectory. I went from a junior embedded developer to leading a team of 5 robotics engineers at a Series-B startup — with a 180% salary increase in just 8 months after graduation."
Senior Robotics Engineer
@ GreyOrange
"The PCB design and STM32 firmware modules were exactly what I needed."
@ Qualcomm
"The Nav2 modules were production-grade. Now architecting multi-robot systems."
@ Boston Dynamics
"I went from breaking robots in week 4 to deploying RL agents by week 14."
@ NVIDIA
"Came from pure web dev. Now I'm a robotics software engineer at Amazon!"
@ Amazon Robotics
"The FreeRTOS module was a game-changer for real-time systems."
@ Tesla
"Mechanical engineer here. Now a Robotics AI Engineer at Waymo."
@ Waymo
Seamlessly blend online theoretical depth with offline real-world practicals. Build and program autonomous robots with hands-on exposure to sensors, actuators, live navigation projects, and internship opportunities.
Live sessions paired with in-lab robotics practicals.
Work on robotic arms, sensors, actuators, and live autonomy projects.
Apply your skills with real robotics engineering teams.
Flexible learning paths tailored to your career milestones. Select the track that fits your background.
Total INR 59,160* (Inclusive of taxes)
*Estimates based on market placement reports. Individual outcomes may vary.
Your certification formally validates your skill set in recruiter searches.
Unique cryptographic hashes registered on global validation boards.
Add directly to your credentials panel with pre-filled ID tracking.
Your name will be printed exactly like this on your official Pantech certificate.
Track 01 • Embedded Systems
Master microcontroller programming, real-time operating systems, sensor interfacing, and firmware development for production-grade embedded devices.
Track 02 • AI Full Stack
Build end-to-end AI applications spanning model training, backend APIs, and deployment pipelines using modern full-stack frameworks.
Track 03 • ASIC RTL
Master chip-level RTL design, synthesis, and verification methodologies used in real-world ASIC development flows.
Autonomous robotics is transforming every sector. Hover over each card to explore exciting career opportunities.
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Design the next generation of collaborative robots, smart factories and AI-powered assembly line assistants.
35% Growth
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$12B Market
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Deploy AI-powered inspection robots for solar farms, wind turbines and critical energy infrastructure.
20% ROI
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Develop high-precision robotic surgical systems, rehabilitation robots and intelligent hospital assistants.
FDA ReadyNo prior robotics experience is required, but basic programming knowledge in Python or C++ is recommended. We provide preparatory modules in the first two weeks.
A computer with at least 16GB RAM, a dedicated GPU (NVIDIA preferred), and internet connection. We provide a hardware kit list and partner discounts.
Yes! Our certificates are co-signed by industry partners and academic institutions, with verifiable SHA-256 hashes that recruiters can validate instantly.
Absolutely! We offer flexible EMI options starting at ₹11,500/month. We also have scholarship programs for underrepresented groups in tech.
Career support includes 1-on-1 mentorship, resume reviews, mock interviews, portfolio reviews, and direct introductions to our hiring partner network.
Transform your skills from isolated expertise into full-stack robotics capability. Secure your seat for the next cohort and start the capstone that employers notice.
