AUDAYKALYAN
Hyderabad/Online
Skills
About
My name is Auday Kalyan. I am a Robotics Trainer with 2 years of experience in the robotics and embedded systems field. I train and mentor students in robotics, coding, and hands-o...
My name is Auday Kalyan. I am a Robotics Trainer with 2 years of experience in the robotics and embedded systems field. I train and mentor students in robotics, coding, and hands-on project development. I guide learners from basics to advanced concepts, helping them design, build, and program real-world robotics and IoT projects. I am passionate about teaching, innovation, and shaping students’ career paths in technolog.
AUDAYKALYAN
Hyderabad/Online
Skills :
My name is Auday Kalyan. I am a Robotics Trainer with 2 years of experience in the robotics and embedded systems field. I train and mentor students in robotics, coding, and hands-o...
My name is Auday Kalyan. I am a Robotics Trainer with 2 years of experience in the robotics and embedded systems field. I train and mentor students in robotics, coding, and hands-on project development. I guide learners from basics to advanced concepts, helping them design, build, and program real-world robotics and IoT projects. I am passionate about teaching, innovation, and shaping students’ career paths in technolog.
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Courses by: AUDAYKALYAN
Basic Robotics & Block Coding Course by Auday Kalyan
COURSE OVERVIEW
The Basic Robotics & Block Coding Course by Auday Kalyan is designed to introduce students to the exciting world of robotics, electronics, and visual programming. Using the Booyaka Mini robot and OTTO Blockly software, learners will gain hands-on experience assembling robots, integrating sensors, and creating real-world robotic projects.
This course is ideal for beginners, hobbyists, and young learners curious about robotics and coding. It emphasizes practical learning, creativity, and problem-solving, helping students build foundational skills that pave the way for advanced robotics and automation.
What Students Will Learn
Introduction to Robotics
Introduction to DIY Educational Robots
Overview of Booyaka Mini Kit
Safety Instructions and Workbook Guidelines
Hardware and Components
List of Robot Parts
Robot Base and Mechanical Parts
DC Motors and Servo Motor
Sensors:
IR Sensor
LDR Sensor
Ultrasonic Sensor
Bump Sensor
Output Devices:
RGB LED
Buzzer
Connectivity Modules:
Bluetooth Module
IR Receiver
USB Cable
Tools and Accessories
Motherboard and Electronics
Introduction to Booyaka Motherboard
Digital Pins and Analog Pins
Motor Connectors M1 and M2
Power Supply and Battery Connection
PWM Pins and Motor Speed Control
Connector Types and Color Codes
Programming Fundamentals
Introduction to OTTO Blockly
Visual Programming Using Blockly
Uploading Code to Booyaka Brain
Using Serial Monitor
Programming Concepts
Conditional Statements
IF and ELSE Logic
Loops and Repetitive Execution
Flowchart Representation
Sensor-Based Decision Making
Sensors and Actuators – Theory
DC Motor
What is a DC Motor
Working Principle of DC Motor
Difference Between DC Motor and AC Motor
Applications of DC Motor
IR Sensor
Working of IR Sensor
Advanced Concepts of IR Sensor
IR Receiver and Remote Control
What is an IR Receiver
Working of IR Remote Control
Applications of IR Remote
Bump Sensor
What is a Bump Sensor
Working Principle and Applications
RGB LED
What is RGB LED
Working Principle
Anode and Cathode Concept
Color Mixing
Buzzer
What is a Buzzer
Working Principle
Applications of Buzzer
LDR Sensor
What is LDR Sensor
Working Principle
Applications of LDR Sensor
Robotics Fundamentals
What is a Robot
Difference Between Machine and Robot
History of Robots
Early Robots and Automata
Industrial Revolution and Robots
Modern Robots
Robotic Applications
Manufacturing Industry
Service Industry
Medical Industry
Rules of Robotics
Safety
Obedience
Learning and Adaptation
Hands-on Robotics Projects
Blinking LED Project
Basic Mobile Robot
Remote Control Car Using IR Receiver
Obstacle Evasion Robot Using Bump Sensor
Ambulance Robot Using RGB LED and Buzzer
Wall Following Robot Using IR Sensor
Edge Avoiding Robot
Line Following Robot
Light Following Robot Using LDR Sensor
Smart Rover with Multiple Sensors
Practical Skills Gained
Robot Assembly and Mechanical Building
Motor Control and Direction Control
Sensor Integration and Testing
Autonomous Robot Navigation
Visual Programming Logic
Debugging and Troubleshooting
Introduction to Advanced Robotics
Robotics and Autonomous Systems
Types of Robotic Systems
Autonomous Robots
Remote Controlled Robots
Applications of Autonomous Robots
Industrial Automation
Service and Domestic Robotics
LEARNING OUTCOMES
Students will be able to understand basic robotics concepts, assemble robots, program using visual block-based coding, integrate sensors and motors, and develop autonomous robotic systems through hands-on projects.
Robotics Advanced level (IOT) Course by Auday Kalyan
The Advanced IoT & Robotics Course by Auday Kalyan is designed for learners who want to master Internet of Things (IoT) applications, sensor interfacing, and robotics integration. Using NodeMCU, Arduino, and ESP32 platforms, students will gain hands-on experience building real-world IoT projects and advanced robotic systems.
This online program is ideal for hobbyists, engineering students, and tech enthusiasts seeking practical experience in IoT development, cloud integration, and automation projects. Through structured sessions, learners develop skills in programming, sensor management, communication protocols, and smart device integration.
What Students Will Learn
Session 1
Introduction to IoT
Basics of IoT
Setting up NodeMCU
LED Blinking
Project: IoT Traffic Light Controller
Session 2
NodeMCU Programming
Introduction to NodeMCU
Programming NodeMCU for sensor interfacing
Project: Smart Home Automation
Session 3
Soil Moisture Sensor
Understanding soil moisture sensing
Interfacing soil moisture sensor with NodeMCU
Project: Automated Plant Watering System
Session 4
DHT11 Temperature and Humidity Sensor
Introduction to DHT11
Interfacing DHT11 with NodeMCU
Project: Smart Climate Control System
Session 5
LCD Display
Basics of LCD Display
Interfacing LCD with NodeMCU
Project: Weather Station Dashboard
Session 6
Light and Motion Sensors
Introduction to LDR and PIR Sensors
Interfacing LDR and PIR with NodeMCU
Project: Intruder Detection System
Session 7
Communication Between NodeMCU and Arduino
TX and RX Communication
Controlling Arduino using NodeMCU
Project: Remote Controlled Robot
Session 8
Gas and Smoke Sensors
Overview of Gas and Smoke Sensors
Interfacing MQ Gas Sensor and Smoke Detector
Project: Air Quality Monitoring System
Session 9
Ultrasonic and Sound Sensors
Understanding Ultrasonic and Sound Sensors
Interfacing HC-SR04 and Sound Sensor
Project: Smart Waste Management System
Session 10
Advanced IoT Communication Protocols
Introduction to UART Protocol
UART communication with peripheral devices
Project: Smart Device Integration
Session 11
Battery Monitoring and Power Management
Battery monitoring techniques
Power-saving methods in IoT
Project: Low Power IoT Device
Session 12
Social Media Integration – Twitter
Introduction to social media integration in IoT
Posting sensor data and receiving commands
Project: Twitter Controlled IoT Device
Session 13
Email Notification System
Email alerts in IoT applications
SMTP protocol implementation
Project: IoT Device with Email Alert System
Session 14
Home Automation with IFTTT
Introduction to IFTTT
Integrating NodeMCU with IFTTT
Project: IFTTT Enabled Smart Home System
Session 15
IoT Cloud Integration
Introduction to Arduino Cloud
Integrating NodeMCU with Arduino Cloud
Project: Cloud Connected IoT Device
Session 16
Advanced IoT Applications and Case Studies
Real-world IoT applications
IoT challenges and solutions
Project: Case Study Presentation
Protocols Covered
UART
Basic MQTT
Teaching Method
This course is fully online, focusing on:
Step-by-step guidance on NodeMCU, Arduino, ESP32, and Raspberry Pi
Hands-on sensor interfacing and project development
Real-world IoT applications and automation examples
Cloud integration and social media-enabled projects
Personalized support, debugging sessions, and project evaluation
The approach emphasizes practical learning, experimentation, and problem-solving, preparing students for IoT-focused careers or advanced robotics projects.
Why This Tutor
Auday Kalyan specializes in hands-on robotics and IoT training. His teaching approach integrates programming, hardware interfacing, and cloud-based IoT applications to ensure students gain practical skills and industry-ready experience.
Learning Outcomes
Understanding IoT fundamentals
Hands-on sensor interfacing
Wireless communication
Cloud data monitoring
Real-world IoT project development
