What You will get
✅ Access to 30 Days of Recorded Session
✅ Access to Source code and PPT to all courses
✅ Access to Private community for lifetime
✅ Course validity – Lifetime Access
✅ Anytime/Anywhere access for videos
✅ Assignments
✅ Bonus Materials
✅ 1 Internship E-Certificate
What you will Learn?
Raspberry Pi | Nvidia Jetson Nano | Python | LIDAR | Machine Learning | Deep Learning | Computer Vision | OpenCV | YOLO | SLAM | ROS | MATLAB | Lane Detection | Pedestrian Detection | Traffic Sign Recognition | Pick and Place Robot | Autonomous Robots
Phase 1: Introduction and Foundation
Day 1: Introduction to AI for Robotics
Basics of robotics and AI integration.
Setting up Raspberry Pi & Nvidia Jetson Nano
Day 2: Raspberry Pi, Nvidia Jetson Nano Basics
Pin configurations, Python programming basics.
Day 3: Motor Control Basics
Controlling DC motors and servo motors & Drivers.
Day 4: Sensors for Robotics
Overview of commonly used sensors like Camera, LIDAR, Ultrasonic, and IR.
Day 5: Robot Control
Programming the Robot (Raspberry Pi & Nvidia Nano) – PROJECT 1
Phase 2: AI and Robotics Integration
Day 6: Introduction to AI Concepts
Basics of AI, machine learning, and neural networks.
Day 7: Basic Foundations of Machine Learning
Machine Learning Project for Classification – PROJECT 2
Day 8: Machine Learning for Robotics
Gesture controlled robot using ML – PROJECT 3
Day 9: Basic Foundations of Computer Vision
Computer Vision Project – PROJECT 4
Day 10: Face Detection Concept
Face Detection & Tracking Robot – PROJECT 5
Day 11: Basic Foundations of Deep Learning
Deep Learning Project for Classification – PROJECT 6
Day 12: Object Detection using Deep Learning
Object Detection & Tracking Robot – PROJECT 7
Phase 3: Pick and Place robot
Day 13: Building a Pick and Place robot(Assembling)
Day 14: Building a Pick and Place robot(Programming) – PROJECT 8
Phase 3: Custom Object Recognition using YOLO
Day 15: Foundation on YOLO
Day 16: Data Acquisition
Day 17: Data Preparation
Day 18: Training & Evaluating Model
Day 19: Testing the model through Image & Video
Day 20: Deploying the Model in Hardware – PROJECT 10
Day 21: Final demo & Pic & Place Robot using AI – PROJECT 11
Week 3: Autonomous Robot – Camera
Day 22: Components of Self Driving Robot
Day 23: Lane Detection using AI – PROJECT 12
Day 24: Pedestrian detection using AI – PROJECT 13
Day 25: Traffic sign Recognition using AI – PROJECT 14
Day 26: Integration of camera-based application – Autonomous Robot using Camera – PROJECT 15
Week 3: Autonomous Robot – LIDAR
Day 27: Introduction to MATLAB and SLAM
Day 28: Introduction to Robotic Operating System
Day 29: Introduction to SLAM & Building SLAM Robot – PROJECT 16
Day 30: Autonomous Robot (Demo), Future Robotics, Building Robot
Startup & Graduation
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