Module one: Python (24h)

Basics
o Why python?
o python with AI and ML
o Input & Output
o Variables
o Data types
o Boolean & Comparison and Logic
o If Conditions
o For Loops
o Built-in functions & Operators
o Numbers & Math
o Functions
o Variables Scope
o Modules
o Command Lines
o File Handling
Object-Oriented Programming (OOP)
o Strings
o Special Functions
o Classes
o Inheritance
o Regular expressions
o Working with files
o Python generators

Module Two: Data Preprocessing & OpenCv (24h)

NumPy
o Create Numpy Array
o Indexing
o Arithmetic and Logic
o Universal Array Functions

• 
  Pandas
  o Series
  o Data Frames
  o Data Input & Output
  o Useful Methods
  o Apply function
  o Grouping data and aggregate functions
  o Merging, Joining and Concatenating
  o Pivoting
• OpenCV
  o Read images
  o Color spaces
  o Operations on images
  o Draw shapes
  o Edge detection
  o Cascade classifier
  o Video stream
  o Real time detection

Module Three: Machine Learning (20h)

Introduction to ML
o The difference between ML, Big data, Data analysis and Deep Learning
o Linear Algebra and Statistics for ML
o Data preprocessing

Regression problem
o Linear Regression
o Multi-linear regression
o Polynomial regression
o K-nearest neighbor regression
o Decision tree regression
o Regression Evaluation Metrics

Classification problem
o Logistic Regression
o Naive Bayes
o K-nearest neighbor classifier
o Support vector machine (SVM)
o Decision tree classifier
o Ensemble learning
o Classification Evaluation Metrics
o Random Forests
o XGBoost

Clustering Problems
o Dimensionality reduction
o K-means
o DBSCAN
o hierarchical clustering
o Association Rules

Model Selection and evaluation
o Loss functions
o Gradient descent
o Bias-variance tradeoff
o Cross-validation
o Hyper parameter tuning

Module Four: Artificial Neural Networks (20h)

Difference between AI, DL, ML and ANN
Introduction to Neural Networks
Deep Learning with Pytorch
Linear Regression
Binary Classification
Logistic Regression
Gradient Descent
Deep layer neural network
Forward and Backward Propagation
Regularization and Dropout
Adam optimization algorithm
Tuning process
Multi Classification with Deep Learning
Transfer learning

Module Five: Computer vision (24h)

Introduction to Computer Vision
CNN Architecture
Padding & Stride Convolutions
Pooling Layers
Convolutional Neural Networks & Datasets
Multiclass classification
Object Detection
Non-max Suppression
YOLO Algorithm
Face Verification and Binary Classification
Transformers
Auto-Encoders
GANs

Module Six: Natural Language processing (36h)

• String preprocessing (re)
  • Embedding & Word2Vec
  • RNN
  • LSTM & GRU
  • Text classification
  • LDA
  • Glove
  • Language Modeling
  • Text Generation
  • Auto correct
  • Text classification
  • LDA
  • ChatGPT

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Module one: Python

Input & Output
Variables
Variables Scope
Data types
Boolean & Comparison and Logic
If Conditions
For Loops
Built-in functions & Operators
Functions
Modules
Command Lines
File Handling
Object-Oriented Programming (OOP)
GUI

Module Two: Linux administration

Introduction to Linux administration
Operating system & Kernel
Linux Components
File / Folder Management

System commands
Network commands
Bash scripts

Module Three: Raspberry pi

Raspberry pi boards
Raspberry pi connection
Installation
GPIO LED/ switch
Relay / Buzzer
GPIO raspberry pi library
Timer
GUI interface
PWM
Web server / IOT
Google assistant API
Smart home project
Booting
UART
SPI
I2C
make file
Computer vision & deep learning applications
Final Project

Module Four: Embedded Linux

Introduction to Embedded Linux
Embedded Linux Components
Embedded Linux Booting Sequence
Yocto Project
Structure of Yocto Project
Building full Image Using Yocto HW Emulator (Qemu)
Yocto Layers Stack
Building Customized Image Using Yocto for Raspberry Pi

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Introduction to Smart Home

Smart Home Design

Introduction to Embedded systems

• Micro controller vs microprocessor
• Development kits
• Arduino vs Raspberry pi
• ESp32 vs ESP8266 Node-MCU
• Environment Setup

THE PIN DIAGRAM

• Introduction to PIN Diagram
• PIN Outputs and PIN Inputs
• Feature that makes it different
• Analog and Digital Pinout

CONTROLLING INPUT/OUTPUT ENVIRONMENT

• Programming LEDS
• Relay interface with 220V
• Input switches
• Analog Input/Output interface

Screen Programming

• 7 segment
• LCD 16×2 display
• OLED display
• Touch screen

Sensors

• LM35 temperature sensor
• Motion sensor
• Gas Sensor
• IR sensor
• LDR

Motors

• DC motors
• Servo motors
• Stepper motors
• Motors interface

Communication protocols

• UART
• SPI
• I2C
• Bluetooth Module

IOT Based HOMEAUTOMATION

• Introduction to IOT
• Creating Webpage Button
• Adding up required WEBPGE Elements
• Controlling Devices

WEBSERVER: Creating Webserver & Monitoring Data

• Client/server
• HTTP protocol

CLOUD COMPUTING

• What is Cloud Computing
• Cloud Architecture
• Popular Cloud Computing Services for Sensor Management.
• Blynk

Mini Projects

• lamp 220 control using Mobile
• Led contrast control
• Air conditioning system
• Control Lamp over internet
• Automatic lightning system

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revision on Arduino
analog sensors
digial sensors
IR sensor
rotary encoder
PING ultrasound sensor
Acellerometer
tilt sensor
motion detection
servo motors
setpper motors
DC motors
speed control PWM
mechanical construction for Vehicle
mechanical construction for robotic Arm
different designs for grippers
wirless communication for remote control

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PIC 30f and PIC 33f
timer-counters
interrupt
output compare
input capture
oscillator options
graphic lcd
touch screen
keypad
PS2 keyboard
I2C commincation protocol- external eeprom
spi protocol
Digital to analog converter
manchester code
wirless communication
Advanced projects

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PIC 18f – Atemga 32/64/128 learning C programing for microcontroller
digital inputs and digital outputs
Alpha-neumerical LCD
Analog sensors
temperature sensor
light sensor
serial communication
DC motor -stepper motor
PWM for light dimming and speed control
working with 220V AC
internal EEPROM
Advanced projects
Difference between PIC and AVR

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Introduction to IOT

What is Internet of Things?
Getting started with IoT
Introduction to Internet of Things (IoT)
Why as IOT?
How IOT became 21st Century Hottest Topic
How Internet of Things works
How Things Talk to Internet

ESP8266 Node-MCU

What is ESP8266 node-MCU
Hardware Knowledge
Developing the Environment
Overview about the board

THE PIN DIAGRAM

Introduction to PIN Diagram
PIN Outputs and PIN Inputs
Feature that makes it different
Analog and Digital Pinout

CONTROLLING INPUT/OUTPUT ENVIRONMENT

Programming LEDS
Relay interface with 220V
INTERFACING: DHT11, PIR, HQ135 SENSORS
Analog Input/Output interface
ESP8266 interrupts

IOT Based HOMEAUTOMATION

Creating Webpage Button
Adding up required WEBPGE Elements
Controlling Devices
WEBSERVER: Creating Webserver & Monitoring Data
 ESP8266 client/server
HTTP protocol

CLOUD COMPUTING

What is Cloud Computing
Cloud Architecture
Popular Cloud Computing Services for Sensor Management.
Connecting ESP8266

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FPGA course
1. Introduction to FPGA.
2. Introduction to VHDL.
3. Introduction to Altera Max plus 2.
4. Advanced tools (Mentor Graphics FPGA advantage
5. Truth tables, Block Diagram, Flow chart, FSM, ASM
6. Test bench &synthesis.
7. Download by using Xilinx (ISE).
8. Small Project
9. Matlab to VHDL

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C Programming & Data Structure
· Hello c, data types, operators
· Rest of operators, if switch case loops
· Function and modular programming
· C building process
· Pointers
· Arrays , strings
· Structures and unions
· Standard C library
· Stack, Linked list ,Queue
· Searching algorithms
· Sorting algorithms

Microcontroller Interfacing AVR
· Microcontroller (AVR ATmega 32)
· I/O Ports
· AVR DIO module
· ATmega 32 data sheet
· Layered architecture in Embedded Software (case study is AVR)
· LCD and Keypad driver
· Interrupts
· ADC and Sensors
· General Purpose timer
· Timers and PWM interfacing
· UART Interface
· SPI
· I2C

Microcontroller Interfacing ARM  

• The Acron RISC Machine
• The ARM programmer’s model
• ARM Processor Families
• ARM cortex M3
• STM32F10x microcontroller vs avr
• Led interface
• Interrupt
• Timer
• ADC
• PWM
• UART
• SPI
• I2c
• DMA

Embedded system Tools & Software Engineering
· Software configuration management (SVN) Simulator
· Emulator
· Debugger
· IDE
· Preprocessor
· Compiler
· Assembler
· Linker
· Make file
· Introduction to software engineering
· Software process and models
· Rapid software development
· Agile method
· Case study (V Model)

RTOS  

• Design patterns
  · Foreground/background systems
  · Real time systems
  · Types of real time systems
  · Multi-tasking vs Multi-processing
  · Scheduling algorithms
  · FreeRTOS Porting
  · Tasks creation
  · Task states
  · Task control
  · Task utils
  · Shared resource problem
  · Race condition
  · Reentrancy
  · Critical sections
  · Queue management Using queues Semaphores
  · Binary semaphores
  · Counting semaphores
  · Priority inversion and deadlocks
  · Mutex
  · Priority inheritance

Testing & Automotive Bus technologies

• Embedded Systems Development Cycle
  · Basic Development Patterns
  · Basic Testing Princeples
  · Unit Testing
  · Module Testing
  · Integration Testing
  · Validation Testing
• White Box Testing
• Black Box Testing
  · CAN protocol
  · LIN protocol

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