AI Engineer

AI Engineer

 

Python

Introduction To Python

Why Python

Application Areas of Python

Python Implementations

    Cpython

    Jython

   IronPython

    PyPy

 

Python Versions

Installing Python

Python Interpreter Architecture

Python Byte Code Compiler

Python Virtual Machine(PVM)

 

Writing and Executing First Python Program

Using Interactive Mode

Using Script Mode

            General Text Editor and Command Window

            IDLE Editor and IDLE Shell

Understanding print() function

How to compile python program explicitly

 

Python Language Fundamentals

Character Set

Keywords

Comments

Variables

Literals

Operators

Reading input from console

Parsing String to int , float

 

Python Conditional Statements

If Statement

If else Statement

If elif Statement

If elif else Statement

Nested If Statement

Looping Statements

While Loop

For Loop

Nested Loops

Pass ,Break and Continue keywords

 

Standard Data Types

int , float , complex

bool , NoneType

str , list , tuple

dict , set , frozenset

String Handling

What is string

String representations

Unicode String

String Functions, Methods

String Repetition and concatenation

String Indexing and Slicing

String Formatting

 

Python List

Creating and Accessing Lists

Indexing and Slicing Lists

List Methods

Nested Lists

List Comprehension

Python Tuple

Creating Tuple

Accessing Tuple

Immutability of tuple

Python Set

How to create a set

Iteration Over Sets

Python Set Methods

Python Frozenset

Python Dictionary

Creating a Dictionary

Dictionary Methods

Accessing values from Dictionary

Updating dictionary

Iterating dictionary

Dictionary Comprehension

Python Functions

Defining a Function

Calling a Function

Types of Functions

Function v/s Method

Function Arguments

          Positional arguments , Keyword arguments ,

          Default arguments , Non default arguments ,

          Arbitrary arguments ,Keyword Arbitrary arguments

Function Return Statement

Nested Function

Function as argument

Function as return statement

Decorator function

Closure

map(),filter() ,reduce(),any() functions

Anonymous or lambda Function

 

Modules & Packages

Why Modules

Script v/s Module

Importing Module

Standard & Third Party Modules

Why Packages

Understanding pip utility

 

File I/O

Introduction to File Handling

File modes

Functions and methods related to File Handling

Understanding with block

 

Object Oriented Programming

Procedural v/s Object Oriented Programming

OOP Principles

Defining a Class & Object Creation

Inheritance

Encapsulation

Polymorphism

Abstraction

Garbage Collection

Iterator & Generator

 

Exception Handling

Difference Between Syntax Errors and Exceptions

Keywords used in Exception Handling

try , except , finally , raise , assert

Types of Except Blocks

User-defined Exceptions

GUI Programming

Introduction to Tkinter Programming

Tkinter Widgets

Tk , Label , Entry , TextBox , Buttons

Frame , messagebox , filedialogetc

Layout Managers

Event handling

Displaying image

 

Multi-Threading Programming

Multi-processing v/s Multi-threading

Need of threads

Creating child threads

Functions /methods related to threads

Thread synchronization and locking

 

Regular Expressions(Regex)

Need of regular Expressions

re module

Functions /Methods related to regex

Meta Characters & Special Sequences

 

SQL

Introduction to Database

Database Concepts

What is Database Package?

Understanding Data Storage

Rela_onal Database (RDBMS) Concept

 

SQL (Structured Query Language)

SQL Basics

DML, DDL & DQL

DDL: Create,Alter,Drop

SQL Constraints:

        NOT NULL, UNIQUE,

        PRIMARY & FOREIGN KEY, COMPOSITE KEY

        CHECK, DEFAULT

DML: Insert, Update, Delete and Merge

DQL : Select

SELECT DISTINCT

SQL WHERE

SQL Operators

SQL LIKE

SQL ORDER BY

SQL Aliases

SQL Views

SQL JOINS

         INNER JOIN

         LEFT (OUTER) JOIN

         RIGHT (OUTER) JOIN

          FULL (OUTER) JOIN

MySQL Funcons

String Funcons

        CHAR_LENGTH

       CONCAT

        LOWER

        REVERSE

        UPPER

Numeric Func_ons

       MAX, MIN, SUM

       AVG, COUNT, ABS

Date Funcons

         CURDATE

        CURTIME

        NOW

 

Statistics , Probability & Analytics:

Introduction to Statistics

Sample or Populaon

Measures of Central Tendency

        Arithmetic Mean

       Harmonic Mean

       Geometric Mean

        Mode

       Quartile

                  First quartile

                 Second quartile(Median)

                 Third quartile

          Standard Deviation

Probability Distributions

Introduction to probability

Conditional probability

Normal Distribution

Uniform Distribution

Exponential Distribution

Right & Left Skewed Distribution

Random Distribution

Central Limit Theorem

 

Hypothesis Testing

Normality Test

Mean Test

T-test

Z-test

ANOVA test

Chi Square Test

Correlation and Covariance

 

Numpy Package

Difference betw een list and numpy array

Vector and Matrix operations

Array indexing and slicing

 

Pandas Package

 

Introduction to pandas

Labeled and structured data

Series and DataFrame Objects

How to load datasets

        From excel

        From csv

        From html table

Accessing data from Data F rame

at & iat

loc & iloc

head() & tail()

 

Exploratory Data Analysis( EDA)

Describe()

Groupby()

Crosstab()

boolean slicing / query()

 

Data Manipulation & Cleaning

Map(),apply()

Combining data frames

Adding/removing rows & columns

Sorting data

Handling missing values

Handling duplicacy

Handling Data Error

 

Categorical Data Encoding

Label Encoding

One Hot Encoding

Handling Date and Time

 

Data Visualization using matplotlib and seaborn packages

Scatter plot, lineplot, bar plot

Histogram, pie chart,

Jointplot, pairplot ,Heatmap

Outlier detection using boxplot

Machine Learning:

Introduction To Machine Learning

Traditional v/s Machine Learning Programming

Real life examples based on ML

Steps of ML Programming

Data Preprocessing revised

Terminology related to ML

 

Supervised Learning

Classification

Regression

 

Unsupervised Learning

Clustering

 

KNN Classification

Math behind KNN

KNN implementation

Understanding hyper parameters

 

Performance metrics

Confusion Matrix

Accuracy Score

Recall & Precision

F-1 Score

R2 Score

 

Regression

Math behind Regression

Simple Linear Regression

Multiple Linear Regression

Polynomial Regression

Boston Price Prediction

Cost or Loss Functions

         Mean absolute error

         Mean squared error

         Root mean squared error

         Least Square Error

Regularization

 

Logistic Regression for classification

Theory of Logistic Regression

Binary and Multiclass classification

Implementing titanic dataset

Implementing iris dataset

Sigmoid and softmax functions

Support Vector Machines

Theory of SVM

SVM Implementation

kernel,gamma,alpha

 

Decision Tree Classification

Theory of Decision Tree

Node Splitting

Implementation with iris dataset

Visualizing Tree

 

Ensemble Learning

Random Forest

Bagging and Boosting

Voting Classifier

 

Model Selection Techniques

Cross Validation

Grid and Random Search for hyper parameter tuning

 

Recommendation System

Content based technique

Collaborative filtering technique

Evaluating similarity based on correlation

Classification-based recommendations

 

Clustering

K-means Clustering

Hierarchical Clustering

Elbow technique

Silhouette coefficient

Dendogram

 

Text Analysis

Install NLTK

Tokenize words

Tokenizing sentences

Stop words customization

Stemming and Lemmatization

Feature Extraction

Sentiment Analysis

Count Vectorizer

TfidfVectorizer

Naive Bayes Algorithms

          GaussianNB

          MultinomialNB

          BernoulliNB

Dimensionality Reduction

          Principal Component Analysis(PCA)

 

Open CV

Reading images

Understanding Gray Scale Image

Resizing image

Understanding Haar Classifiers

Face , eyes classification

How to use webcam in open cv

Building image data set

Capturing video

Face classification in video

 

Deep Learning & Neural Network :

Introduction To Artificial Neural Network

What is Artificial Neural Network (ANN)?

How Neural Network Works?

Perceptron

Multilayer Perceptron

Feed Forward

Back propagation

 

Introduction To Deep Learning

What is Deep Learning?

Deep Learning Packages

Deep Learning Applications

Building Deep Learning Environment

       Installing Tensor Flow Locally

        Understanding Google Colab

 

Tensor Flow Basics

What is Tensorflow?

Tensorflow 1.x V/S Tensorflow 2.x

Variables, Constants

Scalar, Vector, Matrix

Operations using tensorflow

Difference between tensorflow and numpy operations

Computational Graph

 

Optimizers

What does optimizers do?

Gradient Descent (full batch and min batch)

Stochastic Gradient Descent

Learning rate , epoch

Activation Functions

What does Activation Functions do?

Sigmoid Function,

Hyperbolic Tangent Function ( tanh)

ReLU –Rectified Linear Unit

Softmax Function

Vanishing Gradient Problem

 

Building Artificial Neural Network

Using scikit implementation

Using Tensorflow

Understanding MNIST Dataset

Initializing weights and biases

Gradient Tape

Defining loss/cost Function

Train the Neural Network

Minimizing the loss by adjusting weights and biases

 

Modern Deep Learning Optimizers and Regularization

SGD with Momentum

RMSprop

AdaGrad

Adam

Dropout Layers and Regularization

Batch Normalization

 

Building Deep Neural Network Using Keras

What is Keras?

Keras Fundamental For Deep Learning

Keras Sequential Model and Functional API

Solve a Linear Regression and Classification Problem with Example

Saving and Loading a Keras Model

 

Convolutional Neural Networks (CNNs)

Introduction to CNN

CNN Architecture

Convolutional Operations

Pooling , Stride and Padding Operations

Data Augmentation

Building ,Training and Evaluating First CNN Model

Model Performance Optimization

Auto encoders for CNN

Transfer Learning and Object Detection Using Pre-trained CNN Models

          LeNet

         AlexNet

        VGG16

        ResNet50

        Yolo algorithm

Word Embedding

What is Word Embedding?

Word2Vec Embedding

     CBOW

    skipgram

Keras Embedding Layers

Visualize Word Embedding

Google Word2Vec Embedding

GloVe Embedding

 

Recurrent Neural Network s (RNNs)

Introduction to RNN

RNN Architecture

Types of RNN

Implementing basic RNN in tensorflow

Need for LSTM and GRU

Deep RNN/LSTM/GRU

Text Classification Using LSTM

Prediction for Time Series problem

Bidirectional RNN/LSTM

Seq-2-Seq Modeling

Encoder-Decoder Model

Attention Mechanism

 

Generative Adversarial Networks (GANs)

Introduction to GAN

Generator

Discriminator

Types of GAN

Implementing GAN using Neural Network

 

Speech Recognition APIs

Text To Speech

Speech To Text

Automate task using voice

Voice Search on Web

 

Integration of ChatGPT API with Python

Introduction to ChatGPT

Understanding openai library

Registering for an API key

API documentation and resources

Type of ChatGPT Models

Generating Images from ChatGPT API

Image Captioning using ChatGPT API

Building a Chatbot with ChatGPT API and Python

Projects(Any Five)

Stock Price Prediction Using LSTM

Object Detection

Attendance System Using Face Recognition

Facial Expression and Age Prediction

Chabot Application

Neural Machine Translation

Hand Written Digits& Letters Prediction

Number Plate Recognition

Gender Classification

My Assistant for Desktop

Suspect Detection using CCTV

Hardware operations using gesture detection

Cat v/s Dog Image Classification