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AI for Robotics & Edge Computing

Bring intelligence to the physical world

Train perception models, develop in simulation environments, and deploy AI to edge devices and robotic systems.

Enroll Now — $2,500 See Curriculum
240
Total Hours
16
Weeks
8
Modules
~15
Hrs/Week
Course Components
📘
12
Topics
🔬
4
Hands-on Labs
📋
4
Quizzes
Legend
Topic
Exercise
Lab
Quiz
Mini Project
Capstone
Activity
Reading
Forum
Career
Complete Course Structure & Table of Contents
📡
Live instructor-led delivery · classes run 3 days a week. The topics below are covered in live sessions; recorded versions will be available after class delivery.
MOD 01
Robotics Fundamentals & ROS
Robot kinematics, ROS 2, and simulation environments
4h 7m ▾
📘
Robot Kinematics & Dynamics Topic
Forward/inverse kinematics, rigid body dynamics, control theory
35 min
📘
ROS 2 Architecture & Nodes Topic
ROS 2 workspace, publishers, subscribers, services
30 min
📘
Simulation with Gazebo & Isaac Sim Topic
Physics simulation, sensor models, digital twins
32 min
🔬
ROS 2 Simulation Lab Lab 🧪 Jupyter Notebook · Intermediate
Build a ROS 2 robot simulation in Gazebo
2 hrs
📋
Robotics Fundamentals & ROS - Module Test Quiz
Test your knowledge of Robotics Fundamentals & ROS
30 min
MOD 02
Perception & Navigation
Computer vision for robots, SLAM, and path planning
4h 43m ▾
📘
3D Point Cloud Processing Topic
LiDAR data, point cloud segmentation, feature extraction
35 min
📘
SLAM & Localization Topic
Visual SLAM, graph-based SLAM, loop closure
38 min
📘
Path Planning & Obstacle Avoidance Topic
A*, RRT, dynamic window approach, costmaps
30 min
🔬
Navigation & SLAM Lab Lab 🧪 GPU Training · Advanced
Implement SLAM and navigation on a simulated robot
2h 30m
📋
Perception & Navigation - Module Test Quiz
Test your knowledge of Perception & Navigation
30 min
MOD 03
Reinforcement Learning for Robotics
RL algorithms for robot control and sim-to-real transfer
4h 47m ▾
📘
RL Fundamentals for Control Topic
MDP, policy gradients, PPO, SAC for continuous control
40 min
📘
Sim-to-Real Transfer Topic
Domain randomization, system identification, reality gap
35 min
📘
Multi-Agent & Swarm Intelligence Topic
Multi-agent RL, cooperative policies, swarm robotics
32 min
🔬
RL Robot Control Lab Lab 🧪 GPU Training · Advanced
Train a robot arm with PPO in Isaac Gym
2h 30m
📋
Reinforcement Learning for Robotics - Module Test Quiz
Test your knowledge of Reinforcement Learning for Robotics
30 min
MOD 04
Edge AI & Model Optimization
Model compression, TensorRT, edge deployment
4h 10m ▾
📘
Model Pruning & Quantization Topic
Structured/unstructured pruning, INT8 quantization, knowledge distillation
35 min
📘
TensorRT & ONNX Optimization Topic
TensorRT engine building, ONNX export, inference benchmarking
30 min
📘
Deploying to NVIDIA Jetson Topic
Jetson setup, DeepStream, real-time inference pipeline
35 min
🔬
Edge Deployment Lab Lab 🧪 GPU Training · Advanced
Optimize and deploy a model for edge inference
2 hrs
📋
Edge AI & Model Optimization - Module Test Quiz
Test your knowledge of Edge AI & Model Optimization
30 min
Live Instructor-Led Batches

Learn with a cohort — live Zoom sessions, Q&A, and lifetime access to recordings.

🐦
Early Bird — 5% off when you enroll 10+ days before your batch starts. Discount auto-applies at checkout. No code needed.
upcoming 🐦 Early Bird 5% off

AI for Robotics & Edge Computing — June Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jun 15, 2026 – Oct 4, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$2,500 $2,375 You save $125
upcoming 🐦 Early Bird 5% off

AI for Robotics & Edge Computing — July Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jul 15, 2026 – Nov 4, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$2,500 $2,375 You save $125
Ready to start?

$2,500

Online lectures + Simulation labs + Edge hardware (Houston center)

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Frequently asked questions about this program

What level is the AI for Robotics & Edge Computing program? +
Advanced. Total program length is 16 Weeks (240+ Hours of combined live instruction and lab time).
What prerequisites do I need? +
Deep Learning course or equivalent; Python & C++ basics; Linear algebra and calculus
Does this course include hands-on lab work? +
Yes. This program includes hands-on lab time in 4 cloud lab environments provisioned by AI Labs. Every student gets a personal cloud workspace plus on-prem workstation access at our Houston Training Center.
Is this delivered online or in person? +
Both. The default delivery is Online lectures + Simulation labs + Edge hardware (Houston center). In-person sessions are available at our Houston Training Center for any student who prefers on-site delivery.
What roles does this program prepare me for? +
Robotics AI Engineer, Perception Engineer, Edge AI Developer, Autonomous Systems Engineer.
Do I receive a certificate at the end? +
Yes. Every program ends with a capstone project and a verifiable AI Labs completion certificate. Certificates are issued via our LMS and include the capstone work as a portfolio link.
How much does the program cost and are payment plans available? +
Program tuition is $2,500. Most students use our 2-installment plan (50% at enrollment, 50% midway through). Enterprise + nonprofit pricing is available — contact us for a quote.

Labs used in this course

Hands-on environments you'll spin up during the program.

GPU Training Lab

Single-GPU environment for training deep learning models, running computer vision pipelines, and experimenting with neural network architect…

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Robotics & Simulation Lab

High-performance simulation environment for robotics AI. Students work with physics simulators, train RL agents, and develop perception and …

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Edge AI & Optimization Lab

Environment for optimizing and deploying AI models on edge hardware. Includes model compression tools, TensorRT optimization, and remote acc…

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Computer Vision Lab

GPU-accelerated environment for image and video processing. Pre-loaded with large-scale vision datasets, annotation tools, and state-of-the-…

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