See What You'll Learn
Watch a preview of the comprehensive Robot AI Engineering curriculum and discover how you'll build intelligent systems from scratch
AI Neural Networks
Train deep learning models for robot perception, decision-making, and autonomous navigation
Sensor Integration
Connect and program LIDAR, ultrasonic sensors, IMUs, and encoders for real-time data processing
Computer Vision
Implement object detection, tracking, and recognition using OpenCV and modern vision transformers
Motion Control
Master PID controllers, inverse kinematics, and path planning for precise robot movement
ROS 2 Framework
Build scalable robotics applications using Robot Operating System 2 and its ecosystem
Edge AI Deployment
Deploy optimized AI models on embedded hardware like Raspberry Pi and NVIDIA Jetson
Production-Grade Curriculum
A rigorous 12-week program designed to bridge the gap between theoretical AI and real-world robotics.
AI Fundamentals & ML Basics
Master the core concepts of artificial intelligence, machine learning algorithms, and neural networks.
Key Topics:
Computer Vision
Implement real-time object detection, segmentation, and visual SLAM for autonomous navigation.
Key Topics:
Motor Control & Kinematics
Write low-level drivers, PID controllers, and inverse kinematics solvers for precise robotic movement.
Key Topics:
Sensor Fusion
Combine LiDAR, IMU, and camera data using Kalman filters for accurate state estimation.
Key Topics:
Edge Deployment
Optimize models for Jetson Nano/Orin and Raspberry Pi with TensorRT and quantization.
Key Topics:
Final Capstone
Build a fully autonomous robot from scratch that navigates a complex environment.
Key Topics:
6 Students Will Win an NVIDIA DGX Spark
All enrolled students are automatically eligible to win this powerful AI computing system
NVIDIA DGX Spark
Enterprise-grade AI computing system designed for advanced machine learning and deep learning workloads
6 Lucky Winners
Automatically entered when you enroll
Fair Selection
Random draw from all enrolled students
Worth $5,000+
Professional AI computing hardware
* 6 winners will be announced at the end of the course. Must complete at least 80% of course material to qualify.
Compare & See The Value
Why pay $1,800+ when you can get more value for just $699?
BEST VALUE | |||
|---|---|---|---|
| Features | Single Module $99 | Our Course $699 | Other Courses $1,800+ |
| 40+ Hours HD Video Content | |||
| 6 Real-World AI Engineering Projects | 1 Project | Limited | |
| Live Code-Along Sessions | |||
| Twitter Community Access | |||
| Certificate of Completion | |||
| Lifetime Access & Continuous Updates | |||
| Downloadable Resources | |||
| Video Mentorship (Guided Support) | |||
| GitHub Repository Access | Limited | Limited | |
| AI Neural Networks Training | Limited | ||
| Sensor Integration (LIDAR, IMU) | |||
| Computer Vision Implementation | |||
| Motion Control & PID Tuning | Limited | ||
| ROS 2 Framework Mastery | |||
| Edge AI Deployment (Jetson, RPi) |
Invest in your
Engineering Future
One simple price for lifetime access to the world's most comprehensive robotics AI curriculum.
We noticed something frustrating: learning robotics and AI has become incredibly expensive and out of reach for most aspiring engineers.
Traditional programs cost $10,000-$50,000+, and many online courses are either too basic or outdated. We knew there had to be a better way.
That's why we created this course—to make production-grade robotics and AI education affordable and accessible to everyone, regardless of their background or budget.
Our mission is simple: provide world-class training at a price that won't break the bank. No student loans required. No compromises on quality.
Everyone deserves the opportunity to build a career in robotics and AI. We're here to make that happen.
— The AerozSpark Dev Team
Complete Robot AI Program
One-time payment. Lifetime access. No subscriptions.
⏰ Sale ends in 3 days - Limited spots available!
Frequently Asked Questions
Find answers to common questions about the AI Engineering Program. Still have questions? Reach out to our support team.
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