Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 10+ AI Coaching institutes in Moradabad for best AI classes as on May 08, 2024

Cinute Digital Pvt. Ltd.

Mira Road East, Mumbai, 401107

( Also serves in Moradabad )

5.0/5 Based on 65 reviews

09021119062

Artificial Intelligence Training, Professional development training, Database developer training

+6 more

Response Time: Within 60 MinsSulekha 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

Shrey Gupta from Mumbai

"One of the best Instructor. Everything was explained in detail. "

Amol Sardesai from Mumbai

"Both the course and the instructor are excellent. "

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Vion Infotech Pvt Ltd

MG Road, Bangalore, 560001

( Also serves in Moradabad )

4.9/5 Based on 102 reviews

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

+26 more

Response Time: More than 60 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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Growing Seed Technologies

Sector 3, Noida, 201301

( Also serves in Moradabad )

4.9/5 Based on 91 reviews

07569006821

Artificial Intelligence Training, Programming languages training, Web technologies & framework training

+5 more

Response Time: Within 30 Mins Sulekha score: 8.5Years of Experience: 4

GrowingSeed Technologies is an avant-garde IT training, development, and placement firm dedicated to empowering the future of technology. We offer comprehensive training programs tailored for all skill levels, innovative development projects that push technological boundaries, and robust placement services connecting graduates with premier IT careers. Our mission is to nurture talent and innovation, providing a foundation for success in the IT in ... less

Riya Gupta from Noida

"Good lecturer."

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The SS International

Okhla Industrial Area, Delhi, 110020

( Also serves in Moradabad )

4.4/5 Based on 66 reviews

Artificial Intelligence Training, Overseas education, Visa consultants

+2 more

Response Time: Within 60 MinsSulekha score: 7.7Working hours: 12 PM to 4 PM

The SS International is a leading business providing services in the areas of visa consultation and overseas education. With an establishment in 2016, the company has been growing rapidly and has a team of experienced professionals dedicated to providing the best services to their clients. Their service mapping includes a wide range of services such as overseas education, visa consultation, pre-departure support, dependent visa assistance, and mo ... less

Prachi from Delhi

"Had wonderful experience "

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MYSA Skills Learning And Training Academy

Bandra West, Mumbai, 400050

( Also serves in Moradabad )

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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Weekend Classes

Civil Lines, Moradabad, 244001

Artificial Intelligence Training, SAS training, Informatica training

+3 more

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upBrain Skill Solutions Pvt. Ltd.

Sector 2, Noida, 201301

( Also serves in Moradabad )

4.6/5 Based on 8 reviews

Artificial Intelligence Training, Programming languages training, Microsoft azure cloud certification training

+2 more

Sulekha score: 8.1Working hours: 09:00 am to 08:00 pmYears of Experience: 2

mohd amir from Noida

"one of the best trainig centre in noida i highly recomended because there are best trainners "

Abdul Ahad from Noida

"Provide best online and offline summer training, That is very good"

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Certybox

Gomti Nagar, Lucknow, 226010

( Also serves in Moradabad )

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 Moradabad )

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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Multisoft Systems Technology Consultancy Pvt. Ltd.

Sector 2, Noida, 201301

( Also serves in Moradabad )

4.5/5 Based on 76 reviews

Artificial Intelligence Training, Web design & development, Database administrator training

+49 more

Sulekha score: 7.1Working hours: 9 AM to 7 PM

Naveen Chaudhary from Noida

"Good service I am satisfied from their help."

Sanjiv bhargava from Noida

"Ok good"

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Artificial Intelligence Course in Moradabad

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 Moradabad

For which of these do you require training?

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 10+ AI Coaching institutes in Moradabad for best AI classes as on May 08, 2024

Cinute Digital Pvt. Ltd.

Vion Infotech Pvt Ltd

Growing Seed Technologies

The SS International

MYSA Skills Learning And Training Academy

Weekend Classes

upBrain Skill Solutions Pvt. Ltd.

Certybox

Python Academy

Multisoft Systems Technology Consultancy Pvt. Ltd.

Artificial Intelligence Course in Moradabad

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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