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

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 430+ AI Coaching institutes in Hyderabad for best AI classes as on May 05, 2024

Teks Academy

Dilsukh Nagar, Hyderabad, 500060

08069874045

Artificial Intelligence Training, Programming languages training, Salesforce training

+5 more

Response Time: Within 15 MinsSulekha score: 7.7Working hours: 10 AM to 7 PM

At Teks Academy in Dilsukh Nagar, we offer a variety of training programs to help you succeed in today's competitive job market. Our experienced team of instructors specialize in job training, language training, IT programming languages, cloud computing, entrance exam coaching, and data science and business analytics. Our courses are available both online and in the classroom, providing flexibility for your busy schedule. With a focus on prog ... less

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Dhibrahm Analytics

Marathahalli, Bangalore, 560037

( Also serves in Hyderabad )

09021117721

Artificial Intelligence Training, Business intelligence & analytics training, Data science training

Response Time: Within 15 MinsSulekha score: 3.9Working hours: 10 AM to 7 PM

A premium Data Science training and consulting Company backed by a reputed data science company from USA. We offer guaranteed placement program in data science less

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M. Narsing Yadav

Kompally, Hyderabad, 500014

5.0/5 Based on 18 reviews

08035428452

Artificial Intelligence Training, Digital marketing job training, Business productivity tools training

+10 more

Response Time: Within 15 MinsSulekha score: 7.7Working hours: 10 AM to 10 PM

We are NYS Innovations and we offer a wide range of courses including software programming languages , competitive exams, foreign entrance exams, tuitions for B.E/ B.Tech, BBA,MBA and Diploma in jeedimetla village for all the subjects and all the branches less

Mallikarjun from Hyderabad

"I joined classes for m2 and m4 sir was great "

Guest from Hyderabad

"Sir teaching is very excellent i recommend to others too Communication 5/5 responsiveness 5/5 good price 5/5 ontime services 5/5 Service Quality 5/5"

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IT Corp Analytics

Madhapur, Hyderabad, 500081

2.7/5 Based on 10 reviews

080-48103927

Artificial Intelligence Training, Share market courses, Big data & Hadoop training

+1 more

Response Time: Within 15 MinsSulekha score: 5.5Working hours: 6 AM to 7:30 PM

we offer 3months integrated program of data science and Big data Analytics with placement assistance. complete transformation from zero to big data platform is guaranteed. less

sragun from Hyderabad

"the instructor was excellent he was extremely knowledgeable willing to help any student at any time with any questions i'm very much impressed with his teaching skills and i have done live and real time projects.. "

Guest from Hyderabad

"hi, i have came here for training data science which is very intresting and impressed .bcz the training is very clear and the projects they give the explanations are gud still i remember every class."

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Cinute Digital Pvt. Ltd.

Mira Road East, Mumbai, 401107

( Also serves in Hyderabad )

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 Hyderabad )

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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DATA MINDS ANALYTICS AND IT SOLUTIONS

Ameerpet, Hyderabad, 500016

5.0/5 Based on 17 reviews

080-48103530

Artificial Intelligence Training, Business intelligence & analytics training, Big data & Hadoop training

+2 more

Response Time: More than 60 MinsSulekha score: 6.9Working hours: 6 AM to 9 PM

Data Minds Analytics, A leading training institute in Hyderabad, India. Serve as a Platform to serve Professional Courses for training Digital Skills on Data science, Machine Learning, Artificial Intelligence, Big Data, Data Engineering, Digital marketing. Data Minds Team are specialized In Online/ Classroom / e- learning training. Further, Data minds analytics provides training with Certifications, Internships & Placement assistance to i ... less

Rahashekar M from Hyderabad

"Very good coaching from tarun reddy.. Great faculty.. Had real-time experience and explains in a very practical way such that everyone understands"

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Ajdevopssolutions Training Center

Moti Nagar, Hyderabad, 500018

5.0/5 Based on 5 reviews

07569016479

Artificial Intelligence Training, Microsoft azure cloud certification training, Amazon web services certification training

+4 more

Response Time: Within 15 MinsSulekha score: 4Working hours: 6 AM to 11 PM

🌟 **Join Our Expert-Led DevOps Training at AJDevOpsSolutions!** 🌟 🚀 **Tailored & Practical-Oriented Training**: - Learn from experts in Linux, Git, Docker, Kubernetes, Terraform, Ansible, and more! - Hands-on sessions with Python, Bash, PowerShell, New Relic, and other key tools. 🕒 **Flexible Timings**: - Weekdays: 1-hour daily sessions - Weekends: Intensive 4-hour sessions 📍 **Location**: Motinagar ... less

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Genesis It Solutions

Ameerpet, Hyderabad, 500016

5.0/5 Based on 6 reviews

08048031467

Artificial Intelligence Training, Programming languages training, Web designing training

+5 more

Response Time: Within 15 MinsSulekha score: 5.1Working hours: 9:30 AM to 6:30 PM

Empowering Excellence in Technology at Genesis IT Solutions Welcome to Genesis IT Solutions, your gateway to a world of comprehensive and cutting-edge technology training. With a commitment to fostering excellence in various domains, including Cyber Security, Data Science & Business Analytics, and IT Programming Languages, we are dedicated to equipping you with the skills needed to thrive in today's rapidly evolving tech landscape. Cyber ... less

mani from Hyderabad

"The hands-on approach enhanced my practical skills, and the supportive environment fostered a positive learning atmosphere."

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Nerd Indians

Kondapur, Hyderabad, 500084

080-48121158

Artificial Intelligence Training, Programming languages training, Business Analysis training

Response Time: More than 60 MinsSulekha score: 7.6Working hours: 10 AM to 8 PM

Nerd Indians is an Unlimited Learning Platform that provides JOB PASS for Engineering, Finance, Management, Pharmacy, Biotech and Medicine Students and Professionals. Nerd Indians is the only company that provides a Job Pass that gives students access to all the Top courses (Both Live Online & Self-Paced Recorded) for 1 year, 100% job assistance, Overseas Masters & PhD Admission guidance and Scholarship Expert Advice sessions. Get your ... less

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Artificial Intelligence Course in Hyderabad

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.

4.7

Based on 315 Reviews

Rahashekar M Ameerpet

05 Jul, 2023

Very good coaching from tarun reddy.. Great faculty.. Had real-time experience and explains in a very practical way such that everyone understands

pavan Ameerpet

10 Feb, 2023

I recently completed a DevOps Course, and I'm so glad I did! It was incredibly informative and engaging. The course covered everything from the basics of DevOps to more complex topics such as automation and testing. The instructor was knowledgeable and helpful, answering all my questions along the way. The course had lots of hands-on activities which were great for reinforcing the material. Overall, it was an excellent learning experience that I highly recommend to anyone interested in DevOps.

Danthala thirupathamma Sanjeeva Reddy Nagar

07 Jul, 2022

" l absolutely believe that people,unless coached.never reach their maximum potential." Nobody who ever gave his best regretted it." The difference between ordinary and extraordinary is that little extra." "Good coaching is good teaching and nothing else."

Praveen Sanjeeva Reddy Nagar

Loved every minue studying and gained great knowledge. Looking forward to life as a life coach and being part of changing lives for the better.

Prakash Sanjeeva Reddy Nagar

The response is good with demo session. The introduction brings more insight about learning curve. Keep up good work team.

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Aisha Madhapur

26 Mar, 2022

All these good comments was given by their own people. They are such a frauds, I highly recommend not to join and regret it later, save yourselves from these frauds

Lahari Kukatpally

14 Feb, 2022

- I am thankful to Innomatics for its holistic training and teaching methodology. Despite being from non technical background, i had no problems as all the concepts were taught from scratch. Special thanks to (write the names of trainer, mentors, placement related names) My friend recommended this institute to me and i will recommend it to anyone who wants to pursue Data Science

Artificial Intelligence Course in Hyderabad

For which of these do you require training?

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 430+ AI Coaching institutes in Hyderabad for best AI classes as on May 05, 2024

Teks Academy

Dhibrahm Analytics

M. Narsing Yadav

IT Corp Analytics

Cinute Digital Pvt. Ltd.

Vion Infotech Pvt Ltd

DATA MINDS ANALYTICS AND IT SOLUTIONS

Ajdevopssolutions Training Center

Genesis It Solutions

Nerd Indians

Recent Student Reviews in Hyderabad 310+ Users have reviewed for Artificial Intelligence Training in Hyderabad

Recent Enquiries on Artificial Intelligence Training in Hyderabad 50+ Users enquired about Artificial Intelligence Course in Hyderabad over the last 2 months

Artificial Intelligence Course in Hyderabad

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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