For all such aspirants who have dreams of making their career future in artificial intelligence, such a course provides the best offer for them. A well-crafted course equally suited to those aspiring students and professionals who look forward to getting better at understanding or simply learning their basics about AI technologies. The course has made fresh updates to compile what the latest artificial intelligence programming industry has to offer. And by the end of the program, you get to be marked as an industry-ready individual. Hands-on experience, expert mentorship, and real-world projects make up this artificial intelligence training course in Coimbatore, which is among the most preferred courses in the region. Our Coimbatore Institute specializes in the delivery of technology-based artificial intelligence courses focused on their high-quality delivery and practical experience. Our years have seen us reaching thousands of students across the educational sector and helping them realize their dreams. The program offers theory with practical aspects, with the best training from expert trainers. This is the perfect stepping stone to your bright future in AI. Sign up now to take the first step toward a bright future in artificial intelligence.
Key Features
What you will Learn in this Course
- Fundamentals of Artificial Intelligence and its applications
- Machine Learning algorithms and techniques
- Deep Learning concepts with hands-on experience in neural networks
- Natural Language Processing (NLP) and its real-world implementations.
- Data preprocessing and analysis for AI applications.
- Deployment of AI models using advanced tools and technologies.
Benefits of Artificial Intelligence Course in Coimbatore
Comprehensive Curriculum
Xplore IT Corp has fetched its very fine comprehensive into AI learning spread educational instruction all the way from basic concepts to advanced techniques
Experts from the field present
So you can learn from industry professionals who have gained years of first-hand experience in artificial intelligence.
Practical exposure
Practicality comes through engaging live projects through AI-based problem solving.
Career Development
UpSkill your Career with the AI-Knowledge that is in high Demand in various industries.
Individualized Learning
Learn in a way be spoke to different individuals, skill levels and purposes.
Certification
Get a valuable testimony from Xplore IT Corp and bring recognition to your own identity in the AI domain.
Syllabus of Python 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
After all, it is our courses on artificial intelligence which are being imparted by the most promising faculty and trainer that I speak of. Through their vast experience and real knowledge about the concepts and applications of AI, they make students get the best out of this learning experience. They made teaching these kinds of artificial intelligence training courses well-structured and methodically helped teachers translate their learning objectives into hands-on practice with and among latest AI tools and techniques. These trainers also help students gain confidence by making daunting topics easier, preparing them for the brightest career opportunities in AI. Apply now and walk into a bright future with our artificial intelligence training courses.
Learn from Industry Experts
Our courses are taught by professionals with real-world experience.
Comprehensive Learning
Gain in-depth knowledge through our well-structured curriculum.
Hands-on work
Learn skills by doing real-world projects.
Flexible Batches
Choose from weekday or weekend batches for desired Course.
Certification
After finishing the course, you will obtain a recognized certificate.
Job Placement Support
Our students receive job placement opportunities after completing the course.
Continuous Mentorship
Our students of the course will avail ongoing mentor support.
Flexible Payment Plans
Available payment options enable any individual to afford the course. This makes it affordable and accessible to all.
Job prospects after graduating from the course
AI Research Scientist: Advances AI technology by innovative research and development
Machine Learning Engineer: This engineer works to develop algorithms which enable the machines to learn and make decisions
Data Scientist:In order to help make business decisions, data scientist works to discover the hidden patterns within large datasets.
AI Software Developer: Design and develop AI applications and systems that would be available for multiple industries
AI Product Manager : Develop and outline AI products as well as strategies and solutions
AI Consultant : Support business ventures to design the best plans in incorporating AI into their ventures in order to optimize their outputs.
We offer a placement course in Python, ensuring you have a clear path to employment and continuous support and guidance from our dedicated placement team.
Our in Demand Courses
Frequently Asked Questions
Anyone from a beginner with an eye for Artificial Intelligence to an experienced professional can take our course.
Basic programming knowledge is advisable but not necessary as we offer foundation training.
Upon successfully finishing the course, you are likely to get an internationally recognized industry certificate in Artificial Intelligence.
They give job opportunities through our dedicated placement team. They also provide resume building and interviews preparation.
You would be granted lifetime access to course materials along with recorded sessions
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