Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 10+ AI Coaching institutes in Yamuna Nagar for best AI classes as on Apr 28, 2024

EduBridge India

Mohan Nagar, Ghaziabad, 201007

( Also serves in Yamuna Nagar )

3.3/5 Based on 3 reviews

Artificial Intelligence Training, Business colleges, Placement consultancy for Candidates

+30 more

Response Time: Within 15 MinsSulekha score: 6.9Working hours: 10 AM to 7 PM

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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Vion Infotech Pvt Ltd

MG Road, Bangalore, 560001

( Also serves in Yamuna Nagar )

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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Finominal Education

Barakhamba, Delhi, 110001

( Also serves in Yamuna Nagar )

5.0/5 Based on 14 reviews

08069868382

Artificial Intelligence Training, Professional accounting tuitions, CFA tuitions

+2 more

Response Time: More than 60 MinsSulekha score: 7.2Working hours: 10 AM to 7 PM

Welcome to Finominal Education, where we offer top-notch finance and accounting tuitions in Barakhamba. Our dedicated team of professionals provide expert guidance in subjects such as CFA, FRM, and US CMA. With both online and classroom options available, we strive to make learning convenient for our students. Our institute has been established for 0 years and has a team of highly qualified instructors to assist you in your journey towards succes ... less

Ayush Aggarwal from Delhi

"Probably one of the best ACCA teacher out there. Super friendly, knowledgeable and helpful. Really learnt a lot from him. I would strongly recommend Mohit sir to anyone looking to build his/her career in ACCA domain."

Kamlesh from Delhi

"Very excellent online classes "

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RCP Technologies

Ameerpet, Hyderabad, 500018

( Also serves in Yamuna Nagar )

4.9/5 Based on 12 reviews

08035428253

Artificial Intelligence Training, Amazon web services certification training, Data science training

Response Time: Within 15 MinsSulekha score: 7.1Hired on Sulekha: 1 time

We offer Big Data training and Data science, Hadoop,Ab initio,etc online trainings with Real time Experts having 10 + years of experience. We provide training with real time scenarios.and helping in resume preparation.we give FAQS also. And we provide software Installation too. At last we provide project explanation also. And every session is live session. And Day to Day recordings also sent to the trainees. Every penny paid is worthy. For furthe ... less

Sai Kiran from Hyderabad

"Overall the course was well designed and kept it as goal oriented. The Tutor?s method of teaching was understandable and much effective. The course was well organized. Many were too experts, when the course started but now we understood the concepts of AWS .He is approachable and we all had a positive impact on the learning part. Will also discuss the interview questions and guide us how to approach those"

Srilatha from Hyderabad

"good in teaching python language."

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Nxthack It Solutions Llp

Ashok Nagar, Delhi, 110096

( Also serves in Yamuna Nagar )

09021116532

Artificial Intelligence Training, Programming languages training, Web designing training

+5 more

Sulekha score: 7

We are specialises in IT Training & Development, providing comprehensive programs designed to equip individuals with the skills and knowledge needed to thrive in today’s digital landscape. With a focus on cutting-edge technologies and industry-relevant practices, we offer a diverse range of courses covering areas such as software development, cybersecurity, data science, and cloud computing. less

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Arc Computer Institute

Utrathiya, Zirakpur, 140603

( Also serves in Yamuna Nagar )

5.0/5 Based on 4 reviews

08069875533

Artificial Intelligence Training, Digital marketing job training, HR & Administration job training

+7 more

Sulekha score: 6.1Working hours: 8 AM to 9 PMYears of Experience: 19

Quality training in Python, c, c++, java, php, html ,SQL,Data Science,Machine Learning and programming languages is provided at arc comput Institute. . Training in graphic suits of photoshop ,light room and corel draw. We also provide training in SEO, SMO and entire spectrum of practical vital marketing. Our practical training in Tally Erp 9 , GST and Income tax laws and returns opens job opportunities in computer accounting field. We are establi ... less

Ayush negi from Zirakpur

"Best Tally and GST Institute in zirakpur . Faculty is caring and supportive."

Summi from Zirakpur

"Best experience 7n learning coding.c,c++,Java and python very elaborate teaching by Ayushi mam."

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MYSA Skills Learning And Training Academy

Bandra West, Mumbai, 400050

( Also serves in Yamuna Nagar )

5.0/5 Based on 1 reviews

Artificial Intelligence Training, Online Education Courses, Programming languages training

+2 more

Sulekha score: 6Working hours: 09:00 am to 07:00 pmYears of Experience: 7

Nicklesh Lalwani from Mumbai

"This Business Development with hands-on experience in the EDUCATION Industry "

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Certybox

Gomti Nagar, Lucknow, 226010

( Also serves in Yamuna Nagar )

Artificial Intelligence Training, Management distance education, Digital marketing job training

+9 more

Sulekha score: 7.8Years of Experience: 5Hired on Sulekha: 1 time

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Python Academy

Moosarambagh, Hyderabad, 500036

( Also serves in Yamuna Nagar )

5.0/5 Based on 5 reviews

Artificial Intelligence Training, Programming languages training, Data science training

Sulekha score: 7.2Working hours: 09:00 am to 05:00 pmYears of Experience: 6

Shruti Choudhari from Hyderabad

"That was an amazing experience! Wonderful tutors, support of the whole Python Academy team from the very beginning, and, of course, valuable knowledge! Thank you very much!"

Vivek Rao from Hyderabad

"The best online training center, with lots of hands-on projects. One of the critical things about python academy is the self-learning content which gives you a basic idea about the topics. Moreover, we can watch videos whenever we want, since we are provided with lifetime access to the self-learning videos."

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Varnaaz Technologies

Banashankari, Bangalore, 560070

( Also serves in Yamuna Nagar )

5.0/5 Based on 1 reviews

Artificial Intelligence Training, Business productivity tools training, DevOps training

+2 more

Sulekha score: 6.4Working hours: 09:30 AM to 5:30 PMHired on Sulekha: 1 time

Abhijeet from Bangalore

"I am very fortunate that I could get my training from Varnaaz. The staff and trainers are highly qualified and supportive. I would definitely recommend the varnaaz for the training. Thank you so much."

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Artificial Intelligence Course in Yamuna Nagar

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 Yamuna Nagar

For which of these do you require training?

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 10+ AI Coaching institutes in Yamuna Nagar for best AI classes as on Apr 28, 2024

EduBridge India

Vion Infotech Pvt Ltd

Finominal Education

RCP Technologies

Nxthack It Solutions Llp

Arc Computer Institute

MYSA Skills Learning And Training Academy

Certybox

Python Academy

Varnaaz Technologies

Artificial Intelligence Course in Yamuna Nagar

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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