Course

Artificial Intelligence

Excited about turning your imagination into reality, here is something for you!

Join us at Xplore IT Corp and be future ready with the Best Artificial Intelligence training course helping you explore the world of possibilities.

No wonder, the domain of AI will be a key player and game changer that will potentially drive the economy of tomorrow and will be the future of the world.

For the reason, when you reflect on the current challenges faced by our society today, it’s mostly because we typically have a constraint on the resources. But Artificial Intelligence aids in offering different construct that could change the paradigm of current existence and take the world on a different league by turning the tables in most industries positively.

So, In general what do we mean by the buzz words like artificial Intelligence & machine learning –

Artificial Intelligence is an ability of a machine to imitate the capabilities of a human being like planning, learning, accepting commands, Imaginary skills etc.

And Machine learning is a variant of Artificial intelligence which imparts its expertise in predicting accurate results or outcomes, without being highly programmed.

Considering the versatility of AI and Machine Learning, we at Xplore IT Corp have carefully designed and curated an Artificial Intelligence certification course will help you cover the entire bundle of AI and ML with our easy to learn Artificial Intelligence coaching classes helping you transform dreams into existence with every step forward.

And here is why, we Xplore IT Corp qualify to be your go-to learning partner as Artificial Intelligence Training Institute

A well updated, industry endorsed curriculum framed by experts and facilitated by Experienced and well-equipped faculties which helps the students to have a sneak-peak with the current technological advancement being an apt fit for fresher’s who want to start career in Artificial Intelligence and get their fundamentals right.

We also provide Students and Professionals like Developers, Associate Engineer’s from IT Industry with a Diploma Program as this artificial Intelligence course which covers python, Artificial Intelligence, Machine Learning and Data science comprehensively with Hands on knowledge and focuses on programming, algorithms, and learning real world AI applications using Python Programming, data and machine learning models to scale-up your abilities.

Upon completion of the course you will be provided with a Valid Certification from Jain University approved by UGC adding value to your credentials.

Simply put, Xplore IT Corp facilitates you with the best of technology, inspiring industry experts and world of exposure with fun hands-on projects for you to explore your creative quest with this artificial intelligence course.

The Scope and opportunities of Artificial Intelligence and Machine Learning that exist in today’s IT Industry is immense and is expected to grow within a year span. The future of modern-day computing needs the AI features to be included in the web and mobile applications to revolutionize the current world of IT which makes it more promising than ever before.

TOPICS TO BE COVERED IN THIS COURSE

C & C++ Programming

⦁ History
⦁ Features
⦁ Setting up path
⦁ Working with Python scripts
⦁ Basic Syntax
⦁ Variables and Data Types in scripting
⦁ Operators

⦁ If , If- else, Nested if-else statements
⦁ For, While loops
⦁ Nested loops
⦁ Control Statements

⦁ Accessing Strings
⦁ Basic Operations
⦁ String slices
⦁ Function and Methods

⦁ Accessing list
⦁ Operations
⦁ Working with lists
⦁ Function and Methods

⦁ Accessing tuples
⦁ Operations
⦁ Working
⦁ Functions and Methods

⦁ Accessing values in dictionaries
⦁ Working with dictionaries
⦁ Properties
⦁ Functions

⦁ Defining a function
⦁ Calling a function
⦁ Types of functions
⦁ Function Arguments
⦁ Anonymous functions
⦁ Global and local variables

⦁ Importing module
⦁ Math module
⦁ Random module
⦁ Packages
⦁ Composition

⦁ Printing on screen
⦁ Reading data from keyboard
⦁ Opening and closing file
⦁ Reading and writing files
⦁ Functions

⦁ Exception
⦁ Exception Handling
⦁ Except clause
⦁ Try ? finally clause
⦁ User Defined Exceptions

⦁ Class and object
⦁ Attributes
⦁ Inheritance
⦁ Overloading
⦁ Overriding
⦁ Data hiding

⦁ Match function
⦁ Search function
⦁ Matching VS Searching
⦁ Modifiers
⦁ Patterns

⦁ Architecture
⦁ CGI environment variable
⦁ GET and POST methods
⦁ Cookies
⦁ File upload

⦁ Connections
⦁ Executing queries
⦁ Transactions
⦁ Handling error

⦁ Socket
⦁ Socket Module
⦁ Methods
⦁ Client and server
⦁ Internet modules

⦁ Thread
⦁ Starting a thread
⦁ Threading module
⦁ Synchronizing threads
⦁ Multithreaded Priority Queue

⦁ Tkinter Programming
⦁ Tkinter widgets
⦁ Mail Communication in python scripts

PYTHON WEB APP DEVELOPMENT WITH DJANGO

⦁ What is Django?
⦁ DRY programming: Don’t Repeat Yourself
⦁ How to get and install Django

⦁ models.py
⦁ urls.py
⦁ views.py
⦁ Setting up database connections
⦁ Managing Users & the Django admin tool
⦁ Django URL Patterns and Views
⦁ Designing a good URL scheme
⦁ Generic Views
⦁ Django Forms
⦁ Form classes
⦁ Validation & Authentication
⦁ Advanced Forms processing techniques
⦁ Unit Testing with Django
⦁ Using Python’s unittest2 library
⦁ Test
⦁ Test Databases

⦁ Scrapy – Overview
⦁ Scrapy – Environment
⦁ Scrapy – Spiders
⦁ Scrapy – Item Pipelines
⦁ Scrapy – Link Extractors
⦁ Scrapy – various output consoles
⦁ Define item
⦁ First spider project
⦁ Crawling Content
⦁ Extracting item
⦁ Scraped data

⦁ What is Flask?
⦁ Flask – Overview
⦁ Flask – Environment
⦁ Flask – Application
⦁ Flask – Routing
⦁ Flask – Variable Rules
⦁ Flask – URL Building
⦁ Flask – SQLite
⦁ Flask – SQLAlchemy

⦁ The core: Image – load, convert, and save
⦁ Smoothing Filters A – Average, Gaussian
⦁ Smoothing Filters B – Median, Bilateral
⦁ OpenCV 3 with Python
⦁ Image – OpenCV BGR: MatplotLIB
⦁ Basic image operations – pixel access
⦁ iPython – Signal Processing with NumPy
⦁ Signal Processing with NumPy I – FFT and DFT for sine, square waves, unitpulse, and random signal
⦁ Signal Processing with NumPy II – Image Fourier Transform: FFT & DFT
⦁ Inverse Fourier Transform of an Image with low pass filter: cv2.idft()
⦁ Image Histogram
⦁ Video Capture and Switching colour spaces – RGB / HSV
⦁ Adaptive Thresholding – Otsu’s clustering-based image thresholding
⦁ Edge Detection – Sobel and Laplacian Kernels
⦁ Canny Edge Detection
⦁ Hough Transform – Circles
⦁ Watershed Algorithm: Marker-based Segmentation I
⦁ Watershed Algorithm: Marker-based Segmentation II
⦁ Image noise reduction: Non-local Means denoising algorithm
⦁ Image object detection: Face detection using Haar Cascade Classifiers
⦁ Image segmentation – Foreground extraction Grabcut algorithm based on graph cuts
⦁ Image Reconstruction – Inpainting (Interpolation) – Fast Marching Methods
⦁ Video: Mean shift object tracking

⦁ Installation
⦁ Features and feature extraction – iris dataset
⦁ Machine Learning Quick Preview
⦁ Data Preprocessing I – Missing / Categorical data
⦁ Data Preprocessing II – Partitioning a dataset / Feature Scaling / Feature Selection / Regularization
⦁ Data Preprocessing III – Dimensionality Reduction vs Sequential Feature Selection / Assessing Feature importance via random forests
⦁ Data Compression via Dimensionality Reduction I – Principal component analysis (PCA)
⦁ Data Compression via Dimensionality Reduction II – Linear Discriminant Analysis (LDA)
⦁ Data Compression via Dimensionality Reduction III – Nonlinear mappings via kernel principal component (KPCA) analysis
⦁ Logistic Regression, Overfitting & regularization
⦁ Supervised Learning & Unsupervised Learning – e.g. Unsupervised PCA dimensionality reduction with iris dataset
⦁ Unsupervised Learning – KMeans clustering with iris dataset
⦁ Linearly Separable Data – Linear Model & (Gaussian) radial basis function kernel (RBF kernel)
⦁ Decision Tree Learning I – Entropy, Gini, and Information Gain
⦁ Decision Tree Learning II – Constructing the Decision Tree
⦁ Random Decision Forests Classification
⦁ Support Vector Machines (SVM)

MACHINE LEARNING USING FLASK

⦁ Serializing with pickle & DB setup
⦁ Basic Flask App
⦁ Embedding Classifier
⦁ Deploy
⦁ Updating the Classifier

LAB

⦁ Machine Learning using Python Programming
⦁ We will cover one real time project using Machine learning.

DURATION

The duration of this course will be 3 MONTHS, with 2-hour sessions each day for a total of 120 hours.

CERTIFICATION POLICY

At the end of this course, an assessment will be organized among the participating candidates, and front-runners will be awarded a ‘Certificate of Excellence’.

Know your Mentor

Mr. Gobinath A and Mr. Chandramohan who are the senior most faculty assets of Xplore IT Corp and are having relevant industry experience in IT will be handling the program. They have many global accolades and certifications in Embedded Systems, IOT, Python, Machine Learning, Artificial Intelligence, Data Science and are here to make this course easy to learn and an impactful one.

FAQ’s

The duration of the course is 90 days.

Programming knowledge and networking knowledge is necessary for you to have a better understanding and application of the know-how that is being taught. If you are a fresher, you may choose to learn programming and networking before taking up Artificial Intelligence.

We have hand-on practical sessions for each theory part. Overall, 80% of the sessions will be practical based and remaining sessions are theoretical explanations of the concepts, which is required.

Placement support will be provided as and when the requirements are available as per the industry demand.

Yes, but on very limited batches. For batch information and more details you can contact us.

Thus, if you want to harness the benefits and minimize the downside of technology that is driving the world, then Xplore IT Corp’s stellar Artificial Intelligence course should be your pick.