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

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 10+ AI Coaching institutes in Palakkad for best AI classes as on May 05, 2024

Vites Technologies

Gandhipuram, Coimbatore, 641012

( Also serves in Palakkad )

08042782217

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

+11 more

Response Time: Within 60 MinsSulekha score: 6.5Working hours: 9 AM to 9 PM

Exp: 4 years Staffs: 5 less

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Techolas Calicut

Mavoor Road, Calicut, 673004

( Also serves in Palakkad )

5.0/5 Based on 6 reviews

08069876184

Artificial Intelligence Training, Web designing training, Web technologies & framework training

+3 more

Response Time: Within 15 MinsSulekha score: 6.2Working hours: 9:30 AM to 5:30 PM

Techolas is an IT enhancement school located in the heart of Calicut city, focused on helping you to upgrade your knowledge to next level and helping you to achieve heights in career. We provide advanced level software training to working professionals, bachelors, masters and certified professionals. Our admission team is here to assist you and design a unique individual program tailored to match your career ambition. Here you will find excellen ... less

Asif from Calicut

"Excellent Feedback I have to given.The method they following is really wonderful. Trainers are industry expert and 24*7 doub clearing facility. Placement team along management doing good job to get dream career."

Jahanara from Calicut

"Best Training . I got placement after completion my master in data science training"

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Luminar Technolab

Kakkanad, Cochin, 682037

( Also serves in Palakkad )

5.0/5 Based on 3 reviews

08035428035

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

+15 more

Response Time: Within 30 Mins Sulekha score: 5.4Working hours: 9 AM to 6 PM

Luminar Technolab is an IT Finishing School located Cochin, focused on providing advanced level software training to Students and by helping them to get placed. We are a team of IT professionals who have experience in IT sector for more than 15 plus years. Our freshers career foster programs are Big Data Training, Java Training, Spring Training, Python Training, MongoDb Training, Blockchain Training, Bitcoin Training, Artificial Intelligence Trai ... less

Anumol from Cochin

"Excellent training in data science"

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Soften Technologies Proprietor Nisha

Kadavanthra, Cochin, 682020

( Also serves in Palakkad )

4.6/5 Based on 46 reviews

09021110229

Artificial Intelligence Training, Software testing services, Operating system training

+15 more

Response Time: More than 60 MinsSulekha score: 5.9Working hours: 7:30 AM to 8 PM

Apart from imparting high quality training for Cisco CCNA CCNP, CCIE certifications, Microsoft MCSE certifications, Software Testing, .Net, PHP, Java, Android, RHCE, Linux, we offer high end customized innovative solutions like Software Development, Web Development, E-commerce Solutions Development, E-learning Solutions Development, Project Recovery and Quality Assurance. With long years of rich experience, we earned our business quality and repu ... less

Rahul Radhakrishnan from Cochin

"Excellent institute and also provides best certification"

Ardra from Cochin

"Best sir in my life and excellent teaching for students. no one compare with Joseph sir. thank you sir for giving me best knowledge. Excellent experience . Thank you Soften for ur support...."

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Cokonet Technologies Pvt. Ltd.

Kochulloor, Trivandrum, 695010

( Also serves in Palakkad )

4.8/5 Based on 4 reviews

07569014380

Artificial Intelligence Training, Banking, Finance & GST job training

+18 more

Response Time: Within 30 Mins Sulekha score: 8.1Working hours: 9:30 AM to 5:30 PM

Our industry-relevant upskilling programs are designed by experts, keeping in mind the evolving demands of the global market. We provide learners with the skills, knowledge, and confidence they need to excel in their chosen fields. Through personalized guidance and mentorship, we nurture talent, unlock potential, and pave the way for a brighter future. less

Arsha Suresh from Trivandrum

" Communication 5/5 responsiveness 5/5 good price 5/5 ontime services 5/5 Service Quality 5/5"

Nikhil- from Trivandrum

"very good training."

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IPCSGLOBAL Solutions Private Limited

Shenoys, Cochin, 682035

( Also serves in Palakkad )

08069875014

Artificial Intelligence Training, Digital marketing job training, Programming languages training

+7 more

Response Time: More than 60 MinsSulekha score: 4.9Working hours: 10 AM to 7 PM

Welcome to IPCSGLOBAL Solutions Private Limited, where we provide comprehensive business solutions in the fields of Data Science, Business Analytics, Quality Management, IT Hardware and Networking. Established in Shenoys, we have been in the industry for 0 years and have a team of dedicated professionals to cater to your needs. Our services include software testing, data science, programming languages, shell scripting, robotics, internet of thing ... less

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Cokonet Technologies Pvt. Ltd.

Kochulloor, Trivandrum, 695011

( Also serves in Palakkad )

09021117533

Artificial Intelligence Training, Banking, Finance & GST job training

+18 more

Response Time: Within 30 Mins Sulekha score: 7.7Working hours: 07:00 am to 07:00 pm

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Vion Infotech Pvt Ltd

MG Road, Bangalore, 560001

( Also serves in Palakkad )

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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EduBridge India

Anna Nagar, Chennai, 600040

( Also serves in Palakkad )

2.1/5 Based on 7 reviews

Artificial Intelligence Training, Business colleges, Placement consultancy for Candidates

+29 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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Unique Occassio Tech

Pallimukku, Cochin, 682016

( Also serves in Palakkad )

08048100989

Artificial Intelligence Training, Medical distance education, Banking

+10 more

Response Time: Within 15 MinsSulekha score: 3.6Working hours: 7 AM to 7 PM

We began from the need to develop skilled pool of technology talent for the community less

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Artificial Intelligence Course in Palakkad

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 Palakkad

For which of these do you require training?

Find the best Artificial Intelligence Course Training Institutes - Get Guidance from 10+ AI Coaching institutes in Palakkad for best AI classes as on May 05, 2024

Vites Technologies

Techolas Calicut

Luminar Technolab

Soften Technologies Proprietor Nisha

Cokonet Technologies Pvt. Ltd.

IPCSGLOBAL Solutions Private Limited

Cokonet Technologies Pvt. Ltd.

Vion Infotech Pvt Ltd

EduBridge India

Unique Occassio Tech

Artificial Intelligence Course in Palakkad

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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