Artificial Intelligence Course in Madurai, AI Classes in Madurai, AI Certification in Madurai

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 20+ AI Coaching institutes in Madurai for best AI classes as on Apr 26, 2024

Elysium Academy

Sathamangalam, Madurai, 625020

4.6/5 Based on 1335 reviews

08069869914

Artificial Intelligence Training, Mobile app development training, Oracle application training

+23 more

Response Time: Within 15 MinsSulekha score: 8.8Working hours: 10 AM to 1 PM

Elysium Academy Private Limited was established in 2012 by Elysium Group of Companies. Its a technology hub that offers a comprehensive array of International Certification courses. We promote Indian students on a global platform. Our customized courses equip students with the advanced technological skills that can transform their career dreams into reality. We have an astounding Success Rate of more than 7000 of our students becoming Certified ... less

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Cadd Centre Training Service

Anna Nagar, Madurai, 605020

5.0/5 Based on 3 reviews

07569016330

Artificial Intelligence Training, Digital marketing job training, Embedded System Services

+12 more

Response Time: More than 60 MinsSulekha score: 5.7Working hours: 09:00 AM to 02:00 PM

"Asias largest network of CAD Training centres, 35 Years old, headquartered in Chennai, Filling the gap between Industry and college passed-outs. Madurai Annanagar CADD Centre, training Provider of Computer-Aided Design (CAD ), Computer-Aided Engineering (CAE),IT related courses , Full stack devlopment and other courses ... less

Kowsi from Madurai

"Certified trainers , interactive classes& friendly team, I recommend livewire Annanagar is the best "

firstname from Madurai

"So good ?? Excellent training program Clear understanding "

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EduBridge India

Mohan Nagar, Ghaziabad, 201007

( Also serves in Madurai )

3.3/5 Based on 3 reviews

Artificial Intelligence Training, Business colleges, Placement consultancy for Candidates

+30 more

Response Time: Within 15 MinsSulekha score: 6.9Hired on Sulekha: 18 times

Welcome to EduBridge India! We are a leading training institute offering a variety of courses in Data Science, Business Analytics, Quality Management, SAP Training, IT Hardware and Networking, Job Training, and more. Our business was established in Mohan Nagar and we have been serving our customers since 0. Our team consists of highly skilled and experienced professionals who are dedicated to providing top-notch training and placement services to ... less

Sourav Sekhar Behera from Ghaziabad

"It was good to converge excellent"

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Cinute Digital Pvt. Ltd.

Mira Road East, Mumbai, 401107

( Also serves in Madurai )

5.0/5 Based on 64 reviews

09021119062

Artificial Intelligence Training, Professional development training, Database developer training

+6 more

Response Time: Within 30 Mins Sulekha score: 9.3Years of Experience: 6

Cinute Digital Pvt. Ltd (CDPL) is a leading Educational Institution dedicated to providing comprehensive training and certification programs in the field of Software Testing and various other IT domains. The institute boasts state-of-the-art facilities that include well-equipped classrooms, computers, and a dedicated learning environment. Our courses are meticulously crafted to be industry-oriented, allowing students to acquire practical experien ... less

Amol Sardesai from Mumbai

"Both the course and the instructor are excellent. "

Prashant Mishra from Mumbai

"It was good explanation by the instructor and solving the problems and doubts were easy."

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Vion Infotech Pvt Ltd

MG Road, Bangalore, 560001

( Also serves in Madurai )

4.9/5 Based on 102 reviews

Artificial Intelligence Training, Database administrator training, Business productivity tools training

+26 more

Response Time: Within 15 MinsSulekha score: 6.7Years of Experience: 22

Vion Learning offers Technological Training on all across IT Technologies online. less

Hepsiba Juliet S from Bangalore

"Got knowledge salesforce admin and development. Wonderful support and good teaching. Thanks!"

Swati Borase from Bangalore

"I have completed my SAP MM training with this institute. It was great learning from Pravin Sir. Thank you."

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EduBridge India

Anna Nagar, Chennai, 600040

( Also serves in Madurai )

2.1/5 Based on 7 reviews

Artificial Intelligence Training, Business colleges, Placement consultancy for Candidates

+20 more

Response Time: Within 15 MinsSulekha score: 6.6Working hours: 10 AM to 7 PM

EduBridge is an Integrated Workforce Development Organization started by IIM alumni & professors in October 2009, EduBridge impacts the entire Career Development life cycle of the unemployed youth of the country. We help the unemployed youth to understand their strengths, build tomorrow’s skills needed by recruiters and secure employment with them, thereby building sustainable careers for our beneficiaries. With more than a decade of experie ... less

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Networkz Systems

Sadashiv Nagar, Madurai, 625020

08099937279

Artificial Intelligence Training, Mobile app development training, Programming languages training

+4 more

Response Time: Within 15 MinsSulekha score: 5.1Working hours: 09:00 AM to 02:00 PM

Take your career to the next level with our expert-led training in coding, networking, electronics, and more. The Networkz Systems platform is an excellent tool for anyone looking to gain new skills or advance their career less

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Kalvi Institute

Simmakkal, Madurai, 625001

08069869715

Artificial Intelligence Training, Digital marketing job training, Software Development Services

+30 more

Sulekha score: 5.8Working hours: 10 AM to 9 PMYears of Experience: 4

#No1 Training Institute in Madurai, We Provides IT Related Training with 100% Job Placement Support on completing the course. Our Features: 100% Placement Support EMI options available Ask me anything sessions Weekdays/Weekend LIVE One-on-One with Mentors Industry oriented Projects Designed by Industry experts less

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Kumar

Srivilliputhur, Virudhunagar, 626125 ( Also serves in Madurai )

08055080273

Artificial Intelligence Training, Business productivity tools training, Tally training

+5 more

Sulekha score: 7.8Working hours: 5 AM to 9 PMYears of Experience: 13

Welcome to Kumar, your one-stop-shop for all your enterprise software, IT programming, web technologies, data science, and designing tools training needs. Established in 2011 in Srivilliputhur, our team of experienced professionals is committed to providing top-notch training in programming languages, Adobe, data science, animation, and multimedia, web technologies, and business productivity tools. With a team of dedicated trainers and a wide ran ... less

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DATA SCIENCE ANALYTICS

Ashok Nagar, Chennai, 600083

( Also serves in Madurai )

1.0/5 Based on 2 reviews

09883005901

Artificial Intelligence Training, Database administrator training, Business productivity tools training

+10 more

Response Time: More than 60 MinsSulekha score: 6Working hours: 10 AM to 7 PM

Data Science Analytics is a leading business offering a wide range of services including Data Science & Business Analytics Training, Quality Management Training, Oracle Training, SAP Training, Enterprise Software Training, IT Programming Languages Training, and Database Training. Our dedicated team of professionals has years of experience and expertise in various industries, ensuring top-notch service quality for our clients. We are located i ... less

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Artificial Intelligence Course in Madurai

Artificial Intelligence or more commonly known as AI deals with the machine making process. These machines are programmed to perform a variety of different tasks which use the help of artificial intelligence. Visual perception, speech and face recognition, decision making and natural language processing are among the elements that are involved for creating AI bots. Candidates who take up this course will become proficient in creating expert systems, human intelligence, and analytics path.

Artificial Intelligence and Machine Learning Course Content

Artificial Intelligence Course Overview

Introduction to Data Science and AI: Understand the fundamental concepts of data science and AI, their significance, and their applications across various industries.
Python Basics: Learn the essentials of Python programming, its evolution, key differences between Python versions, and how to set up a Python development environment.
Data Handling and Processing: Explore techniques for managing and processing data in Python, including data extraction, manipulation, and statistical analysis.
Exploratory Data Analysis (EDA): Gain knowledge in performing EDA using libraries like Numpy, Scipy, and Pandas to extract valuable insights from data.
Machine Learning Basics: Understand the basics of machine learning, from selecting appropriate models to training, evaluation, and enhancing model performance.
Supervised Learning: Dive into supervised learning, covering classification techniques such as logistic regression, naive Bayes, k-nearest neighbors, support vector machines, decision trees, boosted trees, and random forests.
Unsupervised Learning: Explore unsupervised learning methods, including clustering with K-means and hierarchical clustering, as well as dimensionality reduction techniques like PCA and LDA.
Hypothesis Testing in ML: Learn about hypothesis testing in machine learning, including normalization, null and alternative hypotheses, and statistical tests like T-test and ANOVA.
Reinforcement Learning: Gain an understanding of reinforcement learning, its components, and the exploration vs. exploitation trade-off.
Deep Learning with Tensor Flow: Learn the fundamentals of deep learning using Tensor Flow, covering neural network architecture, forward and back propagation, popular deep learning models, and hands-on projects like Chatbot creation and Facial Recognition systems.

This Course provides a comprehensive understanding of AI and its practical applications, equipping learners with the skills needed to excel in the field.

Python for Machine Learning - Introduction to Data Science:

Understanding Data Science: Overview of the field of data science and its importance in modern technology.
The Data Science Life Cycle: Explanation of the stages involved in the data science process, from data collection to model deployment.
Understanding Artificial Intelligence (AI): Introduction to AI and its applications across various industries.
Overview of Implementation of Artificial Intelligence: Explanation of machine learning, deep learning, artificial neural networks (ANN), and natural language processing (NLP).
Python's Role in Machine Learning: Explanation of how Python is used in machine learning for data manipulation, analysis, and model building.
Python as a Tool for Machine Learning Implementation: Overview of Python's libraries and frameworks used in machine learning, such as NumPy, pandas, scikit-learn, and TensorFlow.

This course provides a comprehensive introduction to data science and machine learning using Python, covering key concepts and their practical implementation.

Introduction to Python:

1. What is Python and Its History

An overview of Python as a programming language and a brief history of its development.

2. Differences Between Python 2 and Python 3

Explanation of the key differences between Python 2 and Python 3, including syntax and features.

3. Installing Python and Setting Up the Environment

Steps to install Python on different operating systems and setting up the development environment.

4. Python Identifiers, Keywords, and Indentation

Understanding Python's rules for naming identifiers, reserved keywords, and the significance of indentation in Python code.

5. Comments and Documentation in Python

How to add comments to Python code for better understanding and documenting code using docstrings.

6. Command-line Arguments and User Input

How to parse command-line arguments and get user input in Python programs.

7. Basic Data Types and Variables in Python

Introduction to basic data types in Python, such as integers, floats, strings, and booleans, and how to work with variables in Python.

Python Programming Fundamentals:

1. Introduction to Python:

Overview of Python and its history.

2. Python Versions:

Differences between Python 2 and Python 3.

3. Environment Setup:

Installing Python and setting up the development environment.

4. Basic Concepts:

Python identifiers, keywords, and indentation.
Comments and documentation in Python.

5. Input and Output:

Reading and writing text files.
Appending to files.
Working with binary files and using the Pickle module.

6. Data Structures:

Understanding lists, iterators, generators, comprehensions, tuples, and ranges.

7. Dictionaries and Sets:

Introduction to dictionaries, sets, and their usage in Python.

8. Functions:

User-defined functions, anonymous functions, and loops and statements in Python.
Working with Python modules and packages.

9. Exceptions Handling:

Understanding exceptions, handling exceptions, and using try-except-else and try-finally clauses.
Raising exceptions and defining user-defined exceptions.

10. Regular Expressions:

Overview of regular expressions, matching, searching, and search and replace operations.
Exploring extended regular expressions and wildcard characters.

Advanced Python Topics:

1. Collections and Debugging:

Understanding named tuples, default dictionaries, and debugging techniques using IDEs.

2. Data Manipulation:

Understanding different types of data, data extraction, and manipulation using Python.
Managing raw and processed data, and data wrangling.
Using mean, median, mode, variation, standard deviation, and probability functions.

3. Machine Learning Models:

Introduction to machine learning models, model selection, training, evaluating, and improving model performance.
Understanding predictive models, linear regression, polynomial regression, and multi-level models.

4. Supervised and Unsupervised Learning:

Exploring supervised learning algorithms like logistic regression, naive Bayes, k-nearest neighbors, support vector machines, decision trees, boosted trees, and random forests.
Understanding unsupervised learning algorithms like clustering and dimensionality reduction.

5. Hypothesis Testing:

Introduction to hypothesis testing in machine learning, normalization, standard normalization, and hypothesis parameters.
Understanding null and alternative hypotheses, p-value, and various types of tests like T-test, Z-test, ANOVA, and Chi-square test.

6. Reinforcement Learning:

Understanding reinforcement learning algorithms, exploration vs. exploitation trade-off, and their components.

7. Deep Learning with TensorFlow

Introduction to deep learning, artificial intelligence, and neural networks.
Setting up a deep learning environment, installing TensorFlow and Keras.
Exploring TensorFlow, building neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and recursive neural networks.
Understanding different architectures, working with datasets, and implementing examples using TensorFlow and Keras.

Artificial Intelligence Course in Madurai

For which of these do you require training?

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 20+ AI Coaching institutes in Madurai for best AI classes as on Apr 26, 2024

Elysium Academy

Cadd Centre Training Service

EduBridge India

Cinute Digital Pvt. Ltd.

Vion Infotech Pvt Ltd

EduBridge India

Networkz Systems

Kalvi Institute

Kumar

DATA SCIENCE ANALYTICS

Artificial Intelligence Course in Madurai

Artificial Intelligence and Machine Learning Course Content

Python for Machine Learning - Introduction to Data Science:

Introduction to Python:

1. What is Python and Its History

2. Differences Between Python 2 and Python 3

3. Installing Python and Setting Up the Environment

4. Python Identifiers, Keywords, and Indentation

5. Comments and Documentation in Python

6. Command-line Arguments and User Input

7. Basic Data Types and Variables in Python

Python Programming Fundamentals:

1. Introduction to Python:

2. Python Versions:

3. Environment Setup:

4. Basic Concepts:

5. Input and Output:

6. Data Structures:

7. Dictionaries and Sets:

8. Functions:

9. Exceptions Handling:

10. Regular Expressions:

Advanced Python Topics:

1. Collections and Debugging:

2. Data Manipulation:

3. Machine Learning Models:

4. Supervised and Unsupervised Learning:

5. Hypothesis Testing:

6. Reinforcement Learning:

7. Deep Learning with TensorFlow

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