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

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 40+ AI Coaching institutes in Vadodara for best AI classes as on Apr 16, 2024

Weltec Institute

Sayajigunj, Vadodara, 390004

4.8/5 Based on 33 reviews

08042782568

Artificial Intelligence Training, Digital marketing job training, Web design & development

+14 more

Response Time: More than 60 MinsSulekha score: 7.2Working hours: 10:00 AM to 01:00 PM

WELTEC is a leading training & placement institute offers job oriented certification courses to help the aspirants upgrade their skills and fetch the lucrative jobs. Our certification programmes are designed to provide students more technical and skill-oriented education. Each course we offer at WELTEC are beneficial in both ways – the course provides in-depth theory and practical knowledge and also, it ensures a good job on completion of the ... less

Avinash from Vadodara

"Good institute for Web Development training. Placement facility is the main thing i liked in this organization. "

A User from Vadodara

"I completed my course from here around two years ago. They really helped me to find the job back then. Now after two years i wanted to change my job. I have them a ring and to my surprise, they were willing to help me find a second job after two years of my course. I share my resume and I recieved a call with few days. And now I have another job thanks to Weltec Institute. I must say, staff is really helpfull and polite! I can recommend it to anyone for IT training. Simply the best one out there. Thank you Weltec! Thank you Hiren Sir!"

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BIT Baroda Institute of Technology

Sayajigunj, Vadodara, 390020

4.8/5 Based on 368 reviews

08048103723

Artificial Intelligence Training, Open school distance education, Management distance education

+43 more

Response Time: Within 60 MinsSulekha score: 8.9Working hours: 09:00 am to 08:00 pm

A Perfect platform for Career Transformation.. More than Two-decade, BIT has been a multi-disciplinary education and training Institute in Vadodara, meant for Individuals, Professionals and Corporate. To be at par with the current scenario of the Industry, we aim to enhance and upgrade the skills and compatibility of an aspirant. Our curriculum is designed considering the rapidly growing demands in the fields associated with Multimedia, Programmi ... less

PATHAK from Vadodara

"i can trust on it..."

Foram Parmar from Vadodara

"I'm the student of tally prime with gst & I'm completed this course from BIT. Our teacher giving us best teaching about our course. Teachers are very skilled & supportive. BIT is best institute for learn. "

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EduBridge India

Mohan Nagar, Ghaziabad, 201007

( Also serves in Vadodara )

3.3/5 Based on 3 reviews

Artificial Intelligence Training, Business colleges, Placement consultancy for Candidates

+30 more

Response Time: Within 15 MinsSulekha score: 6.6Hired on Sulekha: 18 times

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 Vadodara )

5.0/5 Based on 64 reviews

09021119062

Artificial Intelligence Training, Professional development training, Database developer training

+6 more

Response Time: Within 15 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

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 Vadodara )

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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Growing Seed Technologies

Sector 3, Noida, 201301

( Also serves in Vadodara )

4.9/5 Based on 90 reviews

07569006821

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

+5 more

Response Time: Within 15 MinsSulekha score: 8.4Years 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

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Thoughtware Training Pvt. Ltd

Nehru Nagar, Bangalore, 560084

( Also serves in Vadodara )

4.7/5 Based on 3 reviews

07569016584

Artificial Intelligence Training, Professional development training, Data science training

Response Time: Within 15 MinsSulekha score: 7.5Working hours: 11:00 am to 08:00 pm

ExxpertSCM is formed by a group of supply chain experts providing certification and training in ASCM/APICS - CPIM, CLTD, CSCP and DDI - DDPP. We also provide expert consulting in supply chain, logistics and allied areas. we are also providing training on purchasing, logistics, distribution, manufacturing, inventory etcc.. Our famous program is Supply chain analystics less

Vijay s from Bangalore

"The courses are very useful for the beginners and professionals. Supply Chain Analytics course was very useful for me. All the topics were covered from basic to Advanced level. Thank you Pattabhi Raman sir for giving me an opportunity."

Anitha.D from Bangalore

"Satisfied with their courses. The price what they charge for the programs is absolutely worth it. Career guides also provided by Mr.Pattabhi Raman sir.Thanks for the support sir. Like to take up many courses in future"

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MYSA Skills Learning And Training Academy

Bandra West, Mumbai, 400050

( Also serves in Vadodara )

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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Logic Rays

Prahlad Nagar, Ahmedabad, 380015

( Also serves in Vadodara )

Artificial Intelligence Training, Digital marketing job training, Mobile app development training

+9 more

Sulekha score: 0.2Working hours: 10 AM to 7 PM

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Sannibh Technologies

Subhanpura, Vadodara, 390023

Artificial Intelligence Training, Language lab training, Professional development training

+23 more

Working hours: 8 AM to 8 PM

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Artificial Intelligence Course in Vadodara

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.

4.8

Based on 24 Reviews

Arhaan ganchi Sayajigunj

26 May, 2022

The best institute in Gujarat to learn Data analytics/ science courses with 100 % placement. I got my job offer within 3 months after joining this institution even though my course was still going on. And the method of teaching is designed in such a way that even employees or students from non IT/computer fields can learn it quickly.

Mobin mansuri Sayajigunj

Good Online learning platform especially if you are looking for IT skills. They cover quite many courses in IT and Data sciences They provide flexibility of time and plenty of resources. Faculty is really supportive and helpful. They take time out to clarify doubts and engages with students on 1 to 1 basis. Am pursuing a course in Data science and these are personal reflections of last few months.

Parth Sayajigunj

17 May, 2022

I'm a student of Master of Data Analysis at Bit .. This is a good place to learn a courses..Bit has a one of the best teaching faculty .. Many more facilities provided here ...best place to learn Data Analysis courses in vadodara.......

Ashiq shaik Sayajigunj

23 Mar, 2022

Hello i m student of bit and learning Data science proffesional training.faculty was good and very halpfull.education it was good.

Harsh Vekariya Sayajigunj

25 Feb, 2022

I have completed python django course from here. It was a great experience throughout with excellent faculty and great environment.

Ruju bhatt Sayajigunj

29 Dec, 2021

I am Ruju bhatt.here I am learning Data science masters course with kalpitsir . They provide best practical training as well as theoretical.

Vaidehi pitroda Sayajigunj

18 Dec, 2021

I'm learning python with data science from BIT. Great teaching by experienced faculties and good environment. Flexible timing and best institute to learn programming in Vadodara. Even though if anyone is from non-technical background can also learn easily with their teaching techniques.

Prachi Sayajigunj

07 Sep, 2021

I am a student of Artificial intelligence @BIT The instructor's expertise in Artificial Intelligence was immensely beneficial... He included real world examples to help with our understanding of concepts and experiences from others that helped to relate to my own experiences. Definitely Recommend BIT for Artificial Intelligence training Course in Vadodara.

Artificial Intelligence Course in Vadodara

For which of these do you require training?

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 40+ AI Coaching institutes in Vadodara for best AI classes as on Apr 16, 2024

Weltec Institute

BIT Baroda Institute of Technology

EduBridge India

Cinute Digital Pvt. Ltd.

Vion Infotech Pvt Ltd

Growing Seed Technologies

Thoughtware Training Pvt. Ltd

MYSA Skills Learning And Training Academy

Logic Rays

Sannibh Technologies

Recent Student Reviews in Vadodara 20+ Users have reviewed for Artificial Intelligence Training in Vadodara

Recent Enquiries on Artificial Intelligence Training in Vadodara 10+ Users enquired about Artificial Intelligence Course in Vadodara over the last 2 months

Artificial Intelligence Course in Vadodara

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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