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Course

Artificial Intelligence Course in Coimbatore

Xplore IT Corp has been the front-runner in bringing the upcoming technology with an all-in-one comprehensive artificial intelligence course in Coimbatore. The program covers all the necessary topics of AI, from its concepts to machine learning, deep learning, and neural networks, given the future perspective and the extreme demand for AI professionals. It allows candidate students not only to have theoretical knowledge but also to give them hands-on experience working on real-world projects and exposure to industry experience to meet future challenges in the AI field. This course has been specifically designed for learners, whether novices or experienced professionals. Enroll in Xplore IT Corp and upgrade your skills to gain a competitive edge in the value-created lucrative careers in this booming arena of artificial intelligence.

About Us

 we empower students with the beauty of enriched skills for productivity in the field of technology. Our artificial intelligence course in Coimbatore is really a unique one that takes a practical versus theoretical approach to its course elements. Every detail is taken care of in our attempt to provide high-quality education to prepare aspirants to become professionals in artificial intelligence. The trainers have been specially recruited to lead the students through various stages, ensuring that they would be familiarized well with important concepts and tools in AI. Besides, an artificial intelligence course is offered with placement attachment-the most interesting aspect of it-to prepare students for the field and strengthen confidence towards assurance in securing appropriate jobs for this very vibrant career. The mission of Xplore IT Corp is your success.

Course Key Features

  • Comprehensive Curriculum
  • Hands-On Projects
  • Industry-Relevant Tools
  • Flexible Learning Options
  • Expert Trainers
  • Certification

What Will I Learn?

  • AI Basics
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • AI Deployment

Our Artificial Intelligence Course Trainer

  • Experienced Professionals
  • Practical Knowledge
  • Student-Centric Approach
  • Updated Curriculum
  • Certified Experts
  • Cutting-Edge Expertise
  • Customized Mentorship
  • In-Depth Curriculum Delivery
  • Career-Oriented Approach

Benefits of Artificial Intelligence Course in Xplore IT Corp

  • Comprehensive Learning
  • Hands-On Training
  • Industry-Recognized Certification
  • Placement Assistance
  • Expert Mentorship
  • Cutting-Edge Tools
  • Networking Opportunities
  • Flexible Schedules
  • Affordable Fees
  • Skill Development

Why Choose us

  • Industry-based Practitioners come to teach. 
  • In-depth: Master detailed knowledge through our structured.
  • Afford practical work: Build skills through 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.

Artificial Intelligence Course with Placement

  • Soft Skills Training
  • On-the-Job Support
  • Customized Career Guidance
  • Performance Analytics and Feedback
  • Technical Mock Tests
  • Tailored Career Guidance

Artificial Intelligence AI is at the forefront of technological advancements, driving innovation and reshaping industries. Understanding AI allows you to stay updated with cutting-edge developments, such as autonomous vehicles, smart assistants, robotics, and personalized healthcare, contributing to technological progress.

The demand for AI professionals is soaring across various sectors, including healthcare, finance, retail, manufacturing, and entertainment. By learning AI, you position yourself for exciting career opportunities and gain a competitive edge in the job market.

AI enables automation of repetitive and time-consuming tasks, boosting productivity and efficiency. By leveraging machine learning algorithms, AI systems can handle complex data analysis, pattern recognition, and decision-making processes with remarkable speed and accuracy.

AI algorithms excel in analyzing vast amounts of data, extracting valuable insights, and making predictions. This capability empowers businesses to make data-driven decisions, optimize processes, improve customer experiences, and identify emerging trends, giving them a competitive advantage.

AI plays a pivotal role in developing personalized experiences and recommendation Examples include personalized shopping recommendations, content recommendations on streaming platforms, and targeted marketing campaigns, enhancing user satisfaction and engagement.

AI has the potential to revolutionize healthcare. It can aid in diagnosing diseases, analysing medical images, predicting patient outcomes, and optimizing treatment plans. AI-powered healthcare solutions have the potential to improve patient care, reduce medical errors, and enhance clinical

AI technologies, such as natural language processing and computer vision, enhance user experiences by enabling interactions through voice commands, chatbots, and virtual These technologies simplify tasks, improve accessibility, and provide personalized interactions, transforming how we interact with computers and devices.

As AI continues to advance, ethical considerations become crucial. Understanding AI concepts, including bias, fairness, privacy, and transparency, equips you to address these concerns By incorporating ethical considerations into Artificial Intelligence development, we can ensure responsible and beneficial use of AI technologies.

AI opens doors for entrepreneurial ventures. The ability to develop AI-driven products and services, such as intelligent applications, predictive analytics tools, and automation solutions, allows you to innovate and create your own startup or contribute to existing ventures.

AI intersects with various disciplines, including computer science, mathematics, psychology, and neuroscience. Learning AI fosters interdisciplinary thinking and collaboration, enabling you to work on diverse projects and explore new frontiers in research and development.

Job Role in the field of Artificial Intelligence

Undergoing Artificial Intelligence Training or Machine Learning Training in Coimbatore with Xplore IT Corp will equip you with skills and knowledge that are highly sought-after in today’s technology-driven world. It opens doors to diverse career opportunities, contributes to technological advancements, enhances decision-making processes, and has the potential to transform industries. By understanding AI, you become a proactive participant in shaping the future and driving innovation across various domains.

The job demand for artificial intelligence (AI) professionals is rapidly growing across industries. Roles such as machine learning engineers, data scientists, AI researchers, and AI ethicists are in high demand. Organizations are seeking AI expertise to develop and deploy machine learning models, analyze complex datasets, advance AI research, and address ethical considerations. AI product managers and software engineers are needed to drive AI-driven product development, while AI consultants assist organizations in formulating AI strategies. With AI becoming increasingly critical in various applications, the job market for Artificial Intelligence certified professionals is expected to continue expanding in the foreseeable future. Xplore IT Corp’s placement cell provides industry connections where candidates will be notified of the updated job opportunities and through which they can get placed in a good company.

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

 Anybody who has an interest in AI-whether a novice or a professional-can add up to this course. Requires no need for a previous experience.

The different job roles that can be looked into consist of an AI developer, a machine learning engineer, data scientist, and AI engineer

Yes, our artificial intelligence course with placement provides dedicated support, including mock interviews and job referrals.

You’ll master AI tools like TensorFlow, Keras, PyTorch, and more, gaining hands-on experience.

Yes, you will receive a course completion certificate and guidance for global certifications in AI.

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