8 IN 1 IOT & AI Bundle

1. 30 Days Internet of Things

Introduction
✅DAY – 1: Industry 4.0 revolution: Introduction to Embedded Systems, IoT & Controllers
✅Day 2: Basic Programming Conditions: Variables,Data types,Operators,If..Else,Switch,Loop,Break/ Continue,Arrays,Strings
✅Day-3: Embedded C Programming
✅Day 4: led blinking with arduino and Working process of lcd
✅Day-5: Air quality monitoring system
✅Day-6: Smart Door lock System
✅Day 7: Developing Smart Electric Meter using GSM & Arduino
Node MCU, ESP32 , Blynk app & Thingspeak cloud platform
✅Day 8: Introduction to Node MCU ESP8266 and ESP32 Microcontroller and Thingspeak, Blynk Cloud
✅Day 9: Temperature & Humidity monitoring with blynk
✅Day 10: Smart Home Automation using Blynk App
✅Day 11: Smart Gardening system using ESP32 Microcontroller
✅Day 12: Weather Monitoring system
✅Day 13: Smart Water Quality Management System
✅Day 14: Streaming with ESP32 Cam Module
Lora Communication
✅Day 15: Getting started with LoRa Technology
✅Day 16: Sending data to the cloud using Lora communication
RASPBERRY PI (Processor)
✅Day 17: Introduction to Raspberry Pi and Discuss About its Features
✅Day 18: Interfacing Raspberry Pi on Laptop
✅Day 19: Thingspeak Communication using Raspberry Pi and sending DHT11 data to Thingspeak using Raspberry Pi
Data Analysis and Prediction
✅Day 20: Introduction to Data analysis, Machine Learning
✅Day 21: Introduction to Google Colab
✅Day 22: Rain prediction using Machine Learning
MICROSOFT AZURE
✅Day 23: Introduction to Microsoft Azure
✅Day 24: Implementing IoT with Azure – (Sending Data to Azure IoT Hub using ESP32)
✅Day 25: Visualize Real-Time Sensor Data from Azure IoT Hub using Power BI
✅Day 26: Smart Home Automation with Amazon Alexa
AWS IoT
✅Day 27: Introduction to AWS IoT and Send Data to AWS IoT Core
✅Day 28: MQTT Arduino Sketch to AWS IoT Core for the ESP32
✅Day 29: Storing Data in AWS DynamoDB from AWS IoT Control
✅Day 30: Graduation Day | Building a Weather Monitoring Station and store data in AWS Cloud system

2. 30 Days Arduino

ARDUINO EMBEDDED SYSTEM
✅DAY –1 Overview of this course | Details about Arduino Family & Application
✅DAY –2 Hardware, Installing Arduino Software & Libraries
✅DAY –3 Day-03 Electrical Signals, Sensors, Breadboard Connection, LED
✅DAY –4 Arduino Basic Electrical & Electronic
ARDUINO PROGRAMMING
✅DAY –5 Arduino Data Type, Analog Write Command
✅DAY –6 Pulse Width Modulation, Digital Read, Analog Read
✅DAY –7 Serial Communication, Serial Port, Print, Monitor, Voltage Reading
✅DAY –8 if() statement, Potentiometer LED dimmer
✅DAY –9 Arduino C Programming- for() loop, while() loop, array[]
✅DAY –10 Practice if statement, for loop, while loop, array, switch case statement
COMMUNICATION PROTOCOL
✅DAY –11 Computer Command Load Control | Serial Communication
✅DAY –12 PullUp, PullDown Resistor, Push Button Connection & Programming, Toggle Switch
SENSOR
✅DAY –13 LDR Garden Light Control
✅DAY –14 Motion Detection using PIR & IR Sensor | Digital Sensor
✅DAY –15 I2C LCD Interface with Arduino | Simple Message Chat using LCD Display Arduino
✅DAY –16 Distance Measurement using Ultrasonic Sensor
✅DAY –17 Switch press Counter using 7-Segment display
✅DAY –18 Water level Detection & Alert system | Analog & Digital Sensor
✅DAY –19 Arduino Keypad Password Control System
DISPLAY
✅DAY –20 Humidity Detection & Alert using DHT11 Sensor
✅DAY –21 Temperature Monitoring System using Temperature sensor | Analog Sensor
✅DAY –22 TFT Display with Arduino
MOTOR
✅DAY –23 DC Motor Speed Control, Joystick Motor Control
✅DAY –24 Automatic Door lock system using PIR & Servo
✅DAY –25 Stepper Motor Control using Arduino
✅DAY –26 Bluetooth controlled Light with Arduino
✅DAY –27 RFID based authentication system using Arduino
IOT & ROBOTICS
✅DAY –28 Robot Design | Bluetooth & Voice controlled robot using Arduino
✅DAY –29 Obstacle Avoidance Robot using Ultrasonic
✅DAY –30 Industry Monitoring System using IoT | ESP8266

3. 30 Days Embedded C Programming

✅Day- 01 Introduction to Embedded C
✅Day- 02 Understanding Microcontroller Programming
✅Day- 03 Address Variables and Storage Classes
✅Day- 04 How to Write functions
✅Day- 05 Understanding Microcontroller programming
✅Day- 06 Build Process and Analyzing Embedded C Code
✅Day- 07 Floating Point data and Scanf
✅Day- 08 Pointers and stdint.h
✅Day- 09 Operators
✅Day- 10 Decision Taking Statements
✅Day- 11 Loops
✅Day- 12 -Structures
✅Day- 13 Typedef with Structure
✅Day- 14 Arrays
✅Day- 15 Type Qualifier
✅Day- 16 Strings
✅Day- 17 Blinking LED
✅Day- 18 Bitwise Operators
✅Day- 19 STM32 Cube IDE
✅Day- 20 Structures and Bit field
✅Day- 21 Structure and Union
✅Day- 22 Keypad Interfacing
✅Day- 23 UART Programming in C -Part1
✅Day- 24 UART Programming in C (Building from Scratch) -Part2
✅Day- 25 UART Programming in C (Using ST Headerfile)
✅Day- 26 LCD Interface using STM32F411
✅Day- 27-I2C Interface with ADXL345 -Part1
✅Day- 28 I2C Interface with ADXL345 -Part2
✅Day- 29 SPI Interface with ADXL345
✅Day- 30 Mini Project – Digital Thermometer with Display

4. 30 Days Embedded System Design & IOT

✅DAY 1 Introduction to Embedded System
✅DAY 2 Choosing the Right Processor and Embedded Product Life cycle .
✅DAY 3 Embedded C Programming
✅DAY 4 Challenges and Design Issues in Embedded Systems, Assemblers, Compilers, Linkers, Loaders, Debuggers, Embedded In-Circuit Emulators & JTAG, Profilers and Test Coverage Tools, Build Tools for Embedded Systems.
✅DAY 5 RTOS-Introduction to Real-Time Concepts.
✅DAY 6 Introduction to PIC Architecture
✅DAY 7 MPLAB IDE and LED Blinking,
✅DAY 8 UART and SPI
✅DAY 9 LCD and I2C
✅DAY 10 PIC Mini Project – PWM based Motor control
✅DAY 11 IDE Introduction, STM32CubeIDE Installation, First Project
✅DAY 12 MCU Architecture Basics, Memory Map, Clock Configuration
✅DAY 13 GPIO Introduction & LED Blinking
✅DAY 14 Interrupt Programming
✅DAY 15 SysTick Timer (millis(), delay(), scheduler basics)
✅DAY 16 ADC
✅DAY 17 PWM
✅DAY 18 UART Communication
✅DAY 19 I2C Communication
✅DAY 20 SPI Communication
✅DAY 21 LCD Interfacing (4bit/8bit or I2C LCD)
✅DAY 22 AVR & ATmega32 Fundamentals
✅DAY 23 GPIO, Delay, Timer & Interrupt (Real Control)
✅DAY 24 ADC, PWM & Peripheral Interfacing
✅DAY 25 Communication Protocols & Mini Project
✅DAY 26 Introduction to IoT, IoT Trends, IoT Architecture, IoT Applications, IoT Standards and Protocols.
✅DAY 27 Introduction to ESP32 WROOM-32s
✅DAY 28 Led, Switch, Relay, UART
✅DAY 29 IoT Temperature Data Logging
✅DAY 30 Build Your Home Automation with ESP32 and Control Devices from Anywhere in the World

5. 22 Days Robotics

✅DAY 1 Introduction to Robotics
✅DAY 2 Basic programming, Basic Electronics, Introductions to Sensors
✅DAY 3 Line Following Robot – Uses IR sensors to follow a black line.
✅DAY 4 Obstacle Avoidance Robot – Uses ultrasonic sensors to avoid objects.
✅DAY 5 Bluetooth Controlled Car – Controlled via a mobile app.
✅DAY 6 Voice Controlled Robot – Takes voice commands from a smartphone.
✅DAY 7 IR Remote Controlled Robot – Uses a TV remote to control the robot.
✅DAY 8 Smart Shopping Cart Robot – Follows a moving object using proximity sensors.
✅DAY 9 Gesture Controlled Robot – Controlled by hand gestures via accelerometer.
✅DAY 10 Smart Trash Can – Opens lid automatically when someone is nearby.
✅DAY 11 Robotic Arm (Basic 4-DOF) – Controlled by joystick or potentiometers.
✅DAY 12 Wi-Fi Controlled Robot – Controlled over the internet via ESP32.
✅DAY 13 RF Controlled Car – Uses 433 MHz RF modules for remote control.
✅DAY 14 Fire Fighting Robot – Detects and extinguishes small fires.
✅DAY 15 Face Recognition
✅DAY 16 Surveillance robot with live streaming
✅DAY 17 Autonomous delivery robot
✅DAY 18 Cleaning Robot
✅DAY 19 Missile Detecting System
✅DAY 20 Self Balancing Robot
✅DAY 21 Fingerprint Door Lock System
✅DAY 22 Image Detection Door lock System

6. 21 Days Python

✅Day 01:Introduction To Python: Setting-Up Python In Our Systems (Vs Code/Pycharm/Jupyter Notebook/Google Colab),Python Syntax And Expression
✅Day 02:Python Basics And Fundamentals – Variables, Data Types & Console Input/Output.
✅Day 03:Python Operators And Chained Comparisons With Logical Operators.
✅Day 04 Python String- Indexing, Slicing And Formatting, Properties And Methods
✅Day 05:Python Lists – Access, Update, Iterate, Comprehend, And Manipulate Data
✅Day 06:Python Tuples And Sets: Key Concepts, Access, Manipulation And Operators.
✅Day 07:Python Dictionary Essentials: Creation, Access, Modification & Nesting.
✅Day 08:Decision Making – If-Else Statements, Elif Statements, And Match_Case Statements.
✅Day 09:Loops And Control Keywords In Python: While, For,Nested Loops, Continue, And Break.
✅Day 10:Project: Console-Based To-Do List Manager In Python.
✅Day 11:Function Foundations – Calling Functions, Function Parameters & Arguments, Return Values.
✅Day 12:Function Power-Ups – Mastering Lambda, Map & Filter, Recursion, Closures, And Decorators.
✅Day 13:Python Oop Fundamentals: Classes, Objects, Attributes, And Methods.
✅Day 14:Python Oop : Inheritance & Access Modifiers.
✅Day 15:Python Oop: Polymorphism And Abstraction.
✅Day 16:Python Oop Project: Bank Account Management System.
✅Day-17:File Handling – Read/Write Files, Work With Json Files, And Other File Operations
✅Day-18:Modules & Packages – Organize Modules Into Packages, Pip, And Virtual Environments(Venv)
✅Day-19:Error Handling – Try & Except Blocks, Exceptions, Assert Statements, And Logging
✅Day-20:Working With Datetime, Math, Random, And Os Modules, Intro To Web Scraping – `Requests`, `Beautifulsoup`, `Lxml` Email Automation – Send Emails With Python
✅Day-21:Python Debugging – Pylint, Breakpoints, `Pdb`,Regular Expressions – Pattern Matching Basics, Path Selection (Cv/Ml/Dl/Robotics/Iot)

7. 30 Days Machine Learning

✅Day 1: Introduction, Course Outline, Object detection and speech recognition
✅Day 2: Python Core Foundations: Variables & Data Types, Logical Operations, and String Processing.
✅Day 3: Python Data Structures for Machine Learning: Lists, Tuples, and Dictionaries — Access, Manipulation, Iteration, and Data Organization.
✅Day 4: Python Control Flow & Decision Logic for Machine Learning: Conditional Statements, Pattern Matching, and Looping Constructs
✅Day 5: Advanced Python Function Design for Machine Learning: Functional Programming, Recursion, and Code Abstraction
✅Day 6: Python Oop Fundamentals: Classes, Objects, Attributes, And Methods.)
✅Day 7: NumPy (arrays, indexing, operations)
✅Day 8: Pandas (DataFrames, CSV/Excel import/export, filtering, grouping)
✅Day 9: Data Cleaning (handling missing values, duplicates, outliers)
✅Day 10: Data Visualization (Matplotlib, Seaborn – plots, histograms, heatmaps)
✅Day 11: Exploratory Data Analysis (EDA) on a dataset (Kaggle Titanic dataset)
✅Day 12: ML basics (supervised vs unsupervised, train/test split, accuracy)
✅Day 13: Sale Prediction using LOGISTIC REGRESSION
✅Day 14: Salary estimation using K-NEAREST NEIGHBOUR
✅Day 15: Titanic Survival prediction using NAIVE BAYES
✅Day 16: Plant leaf Iris detection using DECISION TREE
✅Day 17: Digit recognition using RANDOM FOREST
✅Day 18: Handwritten Digit Recognition using SUPPORT VECTOR MACHINE
✅Day 19: Evaluating Classification model Performance
✅Day 20: House price prediction using Linear Regression Single Variable
✅Day 21: Exam mark prediction using LINEAR REGRESSION – MULTIPLE VALUES
✅Day 22: Car Price Prediction using REGRESSION Model
✅Day 23: Evaluating Regression Model Using R-Squared & Adjusted R-Squared
✅Day 24: Income & Spent Analysis using K-Means & Hierarchical Clustering
✅Day 25: Market Basket Analysis using APIRIORI
✅Day 26: Web Ad Optimization using Upper Confidence Bound – Reinforcement Learning
✅Day 27: Image Processing with OpenCV (Load, Resize, Crop, Rotate & Draw Shapes.) & Object Detection using yolo
✅Day 28: Deep learning algorithm & Designing Neural Network & Image classification using CNN
✅Day 29: Speech Recognition using DL
✅Day 30: REAL & Fake news detection using LLM

8. 30 Days Artificial Intelligence

✅Day 1: Introduction to AI | Introduction to Dialogflow | How to create your own chatbot using DialogFlow
Machine Learning
✅Day 2: python for AI and Libraries: Nupmy, Pandas, Matplotlib, Scikit-Learn
✅Day 3: Linear Algebra and Calculus
✅Day 4: Introduction To ML Model | Supervised: Logistic Regression, Decision Tree, Random Forest etc. | House Price Prediction Using Regression Model.
✅Day 5: Unsupervised ML Model | Clustering I Dimensionality Reduction | Association Rule Mining | Hands on Projects
✅Day 6: Model Evaluation and Cross-Validation: Confusion Matrix, Precision, Recall, F1-score.
Computer Vision
✅Day 7: Introduction to Computer vision & its Libraries: OpenCV, Ultralytics, darknet, yolov5, yolov8 | Camera calibration using OpenCV
✅Day 8: Face detection & Tracking using OpenCV and Haar Cascade
✅Day 9: Face recognition using OpenCV
✅Day 10: Face Emotion recognition using OpenCV
✅Day 11: Object Tracking based on color using OpenCV
Deep Learning
✅Day 12: Introduction to Deep Learning & Libraries: TensorFlow | Keras
✅Day 13: Deep learning algorithm & Designing Neural Network
✅Day 14: Real-time Object recognition using Pre-trained Model
✅Day 15: Image classification using CNN
✅Day 16: Hand Gesture Recognition using DL
✅Day 17: Leaf Disease Detection using Deep Learning
✅Day 18: Attendance System Face Recognition using DL
✅Day 19: Vehicle Detection & Tracking using DL
✅Day 20: Drowsiness Detection using DL
✅Day 21: Speech Recognition using DL
✅Day 22: Road Sign Recognition using DL
✅Day 23: AI Snake Game – Reinforcement Learning
Natural Language Processing (NLP)
✅Day 24: Natural Language Processing Essentials: Tokenization | Word2Vec| Steaming | TF-IDF
✅Day 25: Text summarization using NLP
✅Day 26: Sentiment Analysis using NLP
✅Day 27: REAL/Fake news detection using BERT
✅Day 28: Next Word Prediction using LSTM
✅Day 29: Title Generation from Paragraph using NLP
✅Day 30: GAN and OMR sheet