Tier 3
AI & Robotics Career Accelerator
The complete program — sensors, kinematics, physics simulation, SLAM, and imitation learning — with a guaranteed 6-month paid internship.
120 Days · ~30 Hours · Lab / Hands-On · Includes 6-Month Paid Internship
Why This Course
The AI & Robotics Career Accelerator is the deepest track in the India program: the full Tier 1 and Tier 2 curriculum, plus sensor and SBC hardware, robot kinematics and dynamics, physics simulation, SLAM navigation, and hands-on imitation learning on real teleoperation hardware — closing with a 6-month guaranteed paid internship.
- Includes the complete Tier 1 + Tier 2 curriculum, plus 4 tier-3-only modules
- Real sensor hardware: LiDAR, depth cameras, single-board computers
- Physics simulation (Isaac Sim / MuJoCo) and SLAM-based autonomous navigation
- 100% guaranteed 6-month paid internship — the deepest placement track in India
Internship
Every student who completes Tier 3 is guaranteed a paid 6-month internship — the longest and deepest placement track in the India program.
Curriculum
Module 1Environment Setup & Core Python Programming
- Linux Terminal Mastery, Git & GitHub Workflows
- Introduction to Python Programming & Control Flow
- Core Python Data Structures & Functions
- Object-Oriented Programming (OOP) in Python
- File I/O, Package Management & Virtual Environments
Module 2Python Web Applications with Gradio
- HTTP Protocols & REST APIs
- Building Web Interfaces with Gradio
- Gradio Session State, Streaming & Live Telemetry
- Database Persistence & Gradio Web App Capstone
Module 3Flutter Cross-Platform Mobile Application Development
- Introduction to Flutter & Dart Basics
- Building Mobile Layouts, UI Components & Navigation
- State Management & Device Feature Access
- Mobile API Integration & Flutter Mobile App Capstone
Module 4Building AI-Native Web Apps & Mobile Apps using Vikky SDK
- Introduction to Vikky SDK & AI-Native Workflows
- Generative AI & Prompt Engineering
- Multi-Modal AI: Vision, Speech & Embeddings via Vikky SDK
- AI-Native Application Capstone
Module 5Computer Vision, Real-Time YOLO & Spatial Geometry (Compressed 3-Day CV)
- Digital Image Processing & Feature Extraction with OpenCV
- Real-Time YOLO Object Detection & Bounding Box Parsing
- Spatial Geometry for Robotics
Module 6ROS 2 Core Architecture & Middleware
- ROS 2 Architecture & CLI
- Writing ROS 2 Publishers (Python)
- Writing ROS 2 Subscribers (Python)
- ROS 2 Services & Custom Interfaces
- ROS 2 Actions & Parameters
Module 7Physical Hardware Kit Interfacing & Digital Twin (Tier 1 Capstone)
- Unboxing Hardware Kit & USB Serial Communication
- Connecting Gradio/Flutter Apps to Hardware
- Hardware-in-the-Loop YOLO Visual Servoing
- URDF Modeling & RViz Digital Twin Synchronization
- Tier 1 Final Capstone Presentation
Module 8Applied Math & Deep Learning Foundations
- Linear Algebra for AI & Tensor Operations
- Multivariable Calculus & Backpropagation Math
- Probability, Statistics & ML Fundamentals
- Neural Network Architectures from Scratch
- Optimization Algorithms & Deep Learning Dynamics
Module 9LLMs, Transformers, RAG & Vector Databases
- Transformer Architectures
- Vector Embeddings & Databases
- Retrieval-Augmented Generation (RAG)
- Fine-Tuning LLMs
- Agentic Task Planning
Module 10Production APIs & Microservices for Robotics
- High-Performance Web APIs (FastAPI)
- Streaming & WebSockets
- Containerization with Docker
- gRPC for Low-Latency Robotics Communication
- Deployment & Profiling
Module 11Spatial Perception, Camera Calibration & Embodied AI Capstone
- Pinhole Camera Models & Intrinsic/Extrinsic Calibration
- 3D Point Clouds & SAM Spatial Perception
- Introduction to Vision-Language-Action (VLA) Models
- System Architecture & Embodied AI MVP Integration
- Tier 2 Capstone Presentation
Module 12SBC Hardware Setup, Sensor Interfacing (LiDAR & Camera) & MCUs
- Single Board Computer (SBC) Architecture & Linux Flashing
- 2D LiDAR Interfacing (RPLiDAR / YDLidar) via USB & ROS 2
- USB & Depth Camera Interfacing (CSI / RealSense / OAK-D)
- Embedded Microcontroller Interfacing & Actuator Drivers
- Sensor Fusion Topology & Microcontroller-to-Linux Communication
Module 13ros2_control & State Estimation
- ros2_control Framework
- Writing Custom Hardware Interfaces
- Joint Level Controllers
- Sensor Fusion with EKF
- Closed-Loop System Tuning
Module 14Arm & Mobile Robot Kinematics, Dynamics & Physics Simulation
- Serial Manipulator Kinematics & Jacobians
- Mobile Robot Kinematics (Differential, Skid-Steer, Mecanum & Swerve)
- Rigid Body Dynamics & Contact Mechanics
- NVIDIA Isaac Sim / MuJoCo Physics Setup
- Sim-to-Real Workflows & Controller Integration
Module 15CAD Modeling, SLAM Navigation, Isaac Sim & SO-101 Imitation Learning (Tier 3 Capstone)
- Parametric CAD Modeling & URDF Generation
- SLAM & Autonomous Navigation for AMRs (Nav2 + slam_toolbox)
- Autonomous Mobile Manipulation in Isaac Sim / MuJoCo
- Teleoperation Data Collection & SO-100 / SO-101 Setup
- Training Imitation Learning Policies (ACT / Diffusion) & Final Capstone
Who Should Enrol?
- Tier 2 graduates ready for the deepest hands-on robotics track
- Students aiming for hardware-heavy roles: sensor fusion, SLAM, mobile manipulation
- Anyone who wants the longest guaranteed internship in the India program
Prerequisites
Tier 1 + Tier 2 curriculum or equivalent foundation.
Tools & Technologies
Python, Git & GitHub, Linux, Gradio, Flutter & Dart, Vikky SDK, OpenCV, real-time YOLO, ROS 2, a physical hardware kit, URDF & RViz. Plus: deep learning foundations, Transformers & vector databases, FastAPI, Docker, gRPC, camera calibration & VLA models. Plus: single-board computers, 2D LiDAR (RPLiDAR / YDLidar), depth cameras (RealSense / OAK-D), ros2_control, NVIDIA Isaac Sim / MuJoCo, parametric CAD, Nav2 + slam_toolbox, and SO-100 / SO-101 teleoperation rigs.
Career Paths
Robotics Systems Engineer, Autonomous Navigation Engineer, Perception/SLAM Engineer, Embodied AI Engineer, R&D Engineer (Robotics).
Frequently Asked Questions
- Do I need to complete Tier 2 first?
- Tier 3 includes the full Tier 1 + Tier 2 curriculum, so you can enrol directly — you cover everything from both prior tiers plus the tier-3-only modules.
- Is the internship really guaranteed?
- Yes — 100%, paid, 6 months, for every student who completes Tier 3.
- What hardware do we actually use?
- Single-board computers, 2D LiDAR, depth cameras, and SO-100 / SO-101 teleoperation rigs for the imitation-learning capstone.