ARTIFICIAL INTELLIGENCE CERTIFICATION AUTHORITIES

Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN CHENNAI

Live Virtual

Instructor Led Live Online

154,000
99,323

  • IABAC® & DMC Certification
  • 9-Month | 780 Learning Hours
  • 100-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

92,000
59,348

  • Self Learning + Live Mentoring
  • IABAC® & DMC Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

154,000
113,673

  • IABAC® & DMC Certification
  • 9-Month | 780 Learning Hours
  • 100-Hour Classroom Sessions
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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UPCOMING ARTIFICIAL INTELLIGENCE ONLINE CLASSES IN CHENNAI

BEST ARTIFICIAL INTELLIGENCE CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR ARTIFICIAL INTELLIGENCE ONLINE COURSE

Why DataMites Infographic

SYLLABUS OF AI COURSE IN CHENNAI

MODULE 1 : DATA SCIENCE ESSENTIALS 

 • Introduction to Data Science
 • Evolution of Data Science
 • Big Data Vs Data Science
 • Data Science Terminologies
 • Data Science vs AI/Machine Learning
 • Data Science vs Analytics

MODULE 2 :  DATA SCIENCE DEMO

 • Business Requirement: Use Case
 • Data Preparation
 • Machine learning Model building
 • Prediction with ML model
 • Delivering Business Value.

MODULE3 : ANALYTICS CLASSIFICATION

 • Types of Analytics
 • Descriptive Analytics
 • Diagnostic Analytics
 • Predictive Analytics
 • Prescriptive Analytics
 • EDA and insight gathering demo in Tableau

MODULE 4 : DATA SCIENCE AND RELATED FIELDS

 • Introduction to AI
 • Introduction to Computer Vision
 • Introduction to Natural Language Processing
 • Introduction to Reinforcement Learning
 • Introduction to GAN
 • Introduction to Generative Passive Models

MODULE 5 : DATA SCIENCE ROLES & WORKFLOW

 • Data Science Project workflow
 • Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
 • Data Science Project stages.

MODULE 6 : MACHINE LEARNING INTRODUCTION

 • What Is ML? ML Vs AI
 • ML Workflow, Popular ML Algorithms
 • Supervised Vs Unsupervised
 • Clustering, Classification And Regression

MODULE 7 :  DATA SCIENCE INDUSTRY APPLICATIONS

 • Data Science in Finance and Banking
 • Data Science in Retail
 • Data Science in Health Care
 • Data Science in Logistics and Supply Chain
 • Data Science in Technology Industry
 • Data Science in Manufacturing
 • Data Science in Agriculture

MODULE 1 : PYTHON BASICS 

 • Introduction of python
 • Installation of Python and IDE
 • Python Variables
 • Python basic data types
 • Number & Booleans, strings
 • Arithmetic Operators
 • Comparison Operators
 • Assignment Operators

MODULE 2 : PYTHON CONTROL STATEMENTS 

 • IF Conditional statement
 • IF-ELSE
 • NESTED IF
 • Python Loops basics
 • WHILE Statement
 • FOR statements
 • BREAK and CONTINUE statements

MODULE 3 : PYTHON DATA STRUCTURES 

 • Basic data structure in python
 • Basics of List
 • List: Object, methods
 • Tuple: Object, methods
 • Sets: Object, methods
 • Dictionary: Object, methods

MODULE 4 : PYTHON FUNCTIONS 

 • Functions basics
 • Function Parameter passing
 • Lambda functions
 • Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

 • Introduction to Statistics
 • Descriptive And Inferential Statistics
 • Basic Terms Of Statistics
 • Types Of Data

MODULE 2 : HARNESSING DATA 

 • Random Sampling
 • Sampling With Replacement And Without Replacement
 • Cochran's Minimum Sample Size
 • Types of Sampling
 • Simple Random Sampling
 • Stratified Random Sampling
 • Cluster Random Sampling
 • Systematic Random Sampling
 • Multi stage Sampling
 • Sampling Error
 • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

 • Exploratory Data Analysis Introduction
 • Measures Of Central Tendencies: Mean,Median And Mode
 • Measures Of Central Tendencies: Range, Variance And Standard Deviation
 • Data Distribution Plot: Histogram
 • Normal Distribution & Properties
 • Z Value / Standard Value
 • Empherical Rule and Outliers
 • Central Limit Theorem
 • Normality Testing
 • Skewness & Kurtosis
 • Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
 • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

 • Hypothesis Testing Introduction
 • P- Value, Critical Region
 • Types of Hypothesis Testing
 • Hypothesis Testing Errors : Type I And Type II
 • Two Sample Independent T-test
 • Two Sample Relation T-test
 • One Way Anova Test
 • Application of Hypothesis testing

MODULE 1: MACHINE LEARNING INTRODUCTION 

  • What Is ML? ML Vs AI
  • ML Workflow, Popular ML Algorithms
  • Clustering, Classification And Regression
  • Supervised Vs Unsupervised

MODULE 2: PYTHON NUMPY & PANDAS PACKAGE 

  • NumPy & Pandas functions
  • Array – Data Structure
  • Core Numpy functions
  • Matrix Operations
  • Data Frame and Series – Data Structure
  • Data munging with Pandas
  • Imputation and outlier analysis

MODULE 3: VISUALIZATION WITH PYTHON 

  • Visualization Packages (Matplotlib)
  • Components Of A Plot, Sub-Plots
  • Basic Plots: Line, Bar, Pie, Scatter
  • Advanced Python Data Visualizations

MODULE 4: ML ALGO: LINEAR REGRESSSION 

  • Introduction to Linear Regression
  • How it works: Regression and Best Fit Line
  • Modeling and Evaluation in Python

MODULE 5: ML ALGO: KNN 

  • Introduction to KNN
  • How It Works: Nearest Neighbor Concept
  • Modeling and Evaluation in Python

MODULE 6: ML ALGO: LOGISTIC REGRESSION 

  • Introduction to Logistic Regression
  • How it works: Classification & Sigmoid Curve
  • Modeling and Evaluation in Python

MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA) 

  • Building Blocks Of PCA
  • How it works: Finding Principal Components
  • Modeling PCA in Python

MODULE 8: ML ALGO: K MEANS CLUSTERING 

  • Understanding Clustering (Unsupervised)
  • K Means Algorithm
  • How it works : K Means theory
  • Modeling in Python

MODULE 1: MACHINE LEARNING INTRODUCTION 

  • What Is ML? ML Vs AI
  • ML Workflow, Popular ML Algorithms
  • Clustering, Classification And Regression
  • Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSION 

  • Introduction to Linear Regression
  • How it works: Regression and Best Fit Line
  • Modeling and Evaluation in Python

MODULE 3: ML ALGO: LOGISTIC REGRESSION 

  • Introduction to Logistic Regression
  • How it works: Classification & Sigmoid Curve
  • Modeling and Evaluation in Python

MODULE 4: ML ALGO: KNN 

  • Introduction to KNN
  • How It Works: Nearest Neighbor Concept
  • Modeling and Evaluation in Python

MODULE 5: ML ALGO: K MEANS CLUSTERING 

  • Understanding Clustering (Unsupervised)
  • K Means Algorithm
  • How it works: K Means theory
  • Modeling in Python

MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA) 

  • Building Blocks Of PCA
  • How it works: Finding Principal Components
  • Modeling PCA in Python

MODULE 7: ML ALGO: DECISION TREE 

  • Random Forest Ensemble technique
  • How it works: Bagging Theory
  • Modeling and Evaluation in Python

MODULE 8 : ML ALGO: NAÏVE BAYES 

  • Introduction to Naive Bayes
  • How it works: Bayes' Theorem
  • Naive Bayes For Text Classification
  • Modeling and Evaluation in Python

MODULE 9: GRADIENT BOOSTING, XGBOOST 

  • Introduction to Boosting and XGBoost
  • How it works: weak learners' concept
  • Modeling and Evaluation of in Python

MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE  (SVM) 

  • Introduction to SVM
  • How It Works: SVM Concept, Kernel Trick
  • Modeling and Evaluation of SVM in Python

MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN) 

  • Introduction to ANN
  • How It Works: Back prop, Gradient Descent
  • Modeling and Evaluation of ANN in Python

MODULE 12: ADVANCED ML CONCEPTS 

  • Adv Metrics (Roc_Auc, R2, Precision, Recall)
  • K-Fold Cross validation
  • Grid And Randomized Search CV In Sklearn
  • Imbalanced Data Set : Smote Technique
  • Feature Selection Techniques

MODULE 1: TIME SERIES FORECASTING - ARIMA 

  • What is Time Series?
  • Trend, Seasonality, cyclical and random
  • Autoregressive Model (AR)
  • Moving Average Model (MA)
  • Stationarity of Time Series
  • ARIMA Model
  • Autocorrelation and AIC 

MODULE 2: FEATURE ENGINEERING 

  • Introduction to Features Engineering
  • Transforming Predictors
  • Feature Selection methods
  • Backward elimination technique
  • Feature importance from ML modeling

MODULE 3: SENTIMENT ANALYSIS 

  • Introduction to Sentiment Analysis
  • Python packages: TextBlob, NLTK
  • Case study: Twitter Live Sentiment Analysis

MODULE 4: REGULAR EXPRESSIONS WITH PYTHON 

  • Regex Introduction
  • Regex codes
  • Text extraction with Python Regex

MODULE 5: ML MODEL DEPLOYMENT WITH FLASK 

  • Introduction to Flask
  • URL and App routing
  • Flask application – ML Model deployment

MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL 

  • MS Excel core Functions • Pivot Table
  • Advanced Functions (VLOOKUP, INDIRECT..)
  • Linear Regression with EXCEL
  • Goal Seek Analysis
  • Data Table
  • Solving Data Equation with EXCEL
  • Monte Carlo Simulation with MS EXCEL

MODULE 7: AWS CLOUD FOR DATA SCIENCE

  • Introduction of cloud
  • Difference between GCC, Azure,AWS
  • AWS Service ( EC2 and S3 service)
  • AWS Service (AMI), AWS Service (RDS)
  • AWS Service (IAM), AWS (Athena service)
  • AWS (EMR), AWS, AWS (Redshift)
  • ML Modeling with AWS Sage Maker 

MODULE 8: AZURE FOR DATA SCIENCE 

  • Introduction to AZURE ML studio
  • Data Pipeline and ML modeling with Azure
  • MODULE 1: DATABASE INTRODUCTION 

    • DATABASE Overview
    • Key concepts of database management
    • CRUD Operations
    • Relational Database Management System
    • RDBMS vs No-SQL (Document DB)

    MODULE 2: SQL BASICS 

    • Introduction to Databases
    • Introduction to SQL
    • SQL Commands
    • MY SQL  workbench installation
    • Comments • import and export dataset

    MODULE 3: DATA TYPES AND CONSTRAINTS 

    • Numeric, Character, date time data type
    • Primary key, Foreign key, Not null
    • Unique, Check, default, Auto increment

    MODULE 4: DATABASES AND TABLES (MySQL) 

    • Create database
    • Delete database
    • Show and use databases
    • Create table, Rename table
    • Delete table, Delete  table records
    • Create new table from existing data types
    • Insert into, Update records
    • Alter table

    MODULE 5: SQL JOINS 

    • Inner join
    • Outer join
    • Left join
    • Right join
    • Cross join
    • Self join

    MODULE 6: SQL COMMANDS AND CLAUSES 

    • Select, Select distinct
    • Aliases, Where clause
    • Relational operators, Logical
    • Between, Order by, In
    • Like, Limit, null/not null, group by
    • Having, Sub queries

    MODULE 7: DOCUMENT DB/NO-SQL DB 

    • Introduction of Document DB
    • Document DB vs SQL DB
    • Popular Document DBs
    • MongoDB basics
    • Data format and Key methods
    • MongoDB data management

MODULE 1: GIT  INTRODUCTION 

  • Purpose of Version Control
  • Popular Version control tools
  • Git Distribution Version Control
  • Terminologies
  • Git Workflow
  • Git Architecture

MODULE 2: GIT REPOSITORY and GitHub 

  • Git Repo Introduction
  • Create New Repo with Init command
  • Copying existing repo
  • Git user and remote node
  • Git Status and rebase
  • Review Repo History
  • GitHub Cloud Remote Repo

MODULE 3: COMMITS, PULL, FETCH AND PUSH 

  • Code commits
  • Pull, Fetch and conflicts resolution
  • Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING 

  • Organize code with branches
  • Checkout branch
  • Merge branches

MODULE 5: UNDOING CHANGES 

  • Editing Commits
  • Commit command Amend flag
  • Git reset and revert

MODULE 6: GIT WITH GITHUB AND BITBUCKET 

  • Creating GitHub Account
  • Local and Remote Repo
  • Collaborating with other developers
  • Bitbucket Git account

MODULE 1: BIG DATA INTRODUCTION 

  • Big Data Overview
  • Five Vs of Big Data
  • What is Big Data and Hadoop
  • Introduction to Hadoop
  • Components of Hadoop Ecosystem
  • Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE 

  • HDFS – Big Data Storage
  • Distributed Processing with Map Reduce
  • Mapping and reducing  stages concepts
  • Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort
  • Hands-on Map Reduce task

MODULE 3: PYSPARK FOUNDATION 

  • PySpark Introduction
  • Spark Configuration
  • Resilient distributed datasets (RDD)
  • Working with RDDs in PySpark
  • Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE 

  • Introducing Spark SQL
  • Spark SQL vs Hadoop Hive
  • Working with Spark SQL Query Language

MODULE 5: MACHINE LEARNING WITH SPARK ML 

  • Introduction to MLlib Various ML algorithms supported by MLib
  • ML model with Spark ML
  • Linear regression
  • logistic regression
  • Random forest

MODULE 6: KAFKA and Spark 

  • Kafka architecture
  • Kafka workflow
  • Configuring Kafka cluster
  • Operations

MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION 

  • What Is Business Intelligence (BI)?
  • What Bi Is The Core Of Business Decisions?
  • BI Evolution
  • Business Intelligence Vs Business Analytics
  • Data Driven Decisions With Bi Tools
  • The Crisp-Dm Methodology

MODULE 2: BI WITH TABLEAU: INTRODUCTION 

  • The Tableau Interface
  • Tableau Workbook, Sheets And Dashboards
  • Filter Shelf, Rows And Columns
  • Dimensions And Measures
  • Distributing And Publishing

MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE 

  • Connecting To Data File , Database Servers
  • Managing Fields
  • Managing Extracts
  • Saving And Publishing Data Sources
  • Data Prep With Text And Excel Files
  • Join Types With Union
  • Cross-Database Joins
  • Data Blending
  • Connecting To Pdfs

MODULE 4 : TABLEAU : BUSINESS INSIGHTS 

  • Getting Started With Visual Analytics
  • Drill Down And Hierarchies
  • Sorting & Grouping
  • Creating And Working Sets
  • Using The Filter Shelf
  • Interactive Filters
  • Parameters
  • The Formatting Pane
  • Trend Lines & Reference Lines
  • Forecasting
  • Clustering

MODULE 5 : DASHBOARDS, STORIES AND PAGES 

  • Dashboards And Stories Introduction
  • Building A Dashboard
  • Dashboard Objects
  • Dashboard Formatting
  • Dashboard Interactivity Using Actions
  • Story Points
  • Animation With Pages

MODULE 6 : BI WITH POWER-BI 

  • Power BI basics
  • Basics Visualizations
  • Business Insights with Power BI

MODULE 1: ARTIFICIAL INTELLIGENCE OVERVIEW 

  • Evolution Of Human Intelligence
  • What Is Artificial Intelligence?
  • History Of Artificial Intelligence
  • Why Artificial Intelligence Now?
  • Ai Terminologies
  • Areas Of Artificial Intelligence
  • Ai Vs Data Science Vs Machine Learning

MODULE 2: DEEP LEARNING INTRODUCTION 

  • Deep Neural Network
  • Machine Learning vs Deep Learning
  • Feature Learning in Deep Networks
  • Applications of Deep Learning Networks

MODULE 3: TENSORFLOW FOUNDATION 

  • TensorFlow Installation and setup
  • TensorFlow Structure and  Modules
  • Hands-On: ML modeling with TensorFlow

MODULE 4: COMPUTER VISION INTRODUCTION 

  • Image Basics
  • Convolution Neural Network (CNN)
  • Image Classification with CNN
  • Hands-On: Cat vs Dogs Classification with CNN Network

MODULE 5: NATURAL LANGUAGE PROCESSING (NLP) 

  • NLP Introduction
  • Bag of Words Models
  • Word Embedding
  • Language Modeling
  • Hands-On: BERT  Algorithm

MODULE 6: AI ETHICAL ISSUES AND CONCERNS 

  • Issues And Concerns Around Ai
  • Ai And Ethical Concerns
  • Ai And Bias
  • Ai: Ethics, Bias, And Trust

MODULE 1: NEURAL NETWORKS 

  • Structure of neural networks
  • Neural network - core concepts
  • Feed forward algorithm
  • Backpropagation
  • Building neural network from scratch using Numpy

MODULE 2: IMPLEMENTING DEEP NEURAL NETWORKS 

  • Introduction to neural networks with tf2.X
  • Simple deep learning model in Keras (tf2.X)
  • Building neural network model in TF2.0 for MNIST dataset

MODULE 3: DEEP COMPUTER VISION - CNN 

  • Convolutional neural networks (CNNs)
  • Introduction
  • CNNs with Keras
  • Transfer learning in CNN
  • Style transfer
  • Flowers dataset with tf2.X
  • Examining x-ray with CNN model

MODULE 4 : RECURRENT NEURAL NETWORK 

  • RNN introduction
  • Sequences with RNNs
  • Long short-term memory networks
  • LSTM RNNs and GRU
  • Examples of RNN applications

MODULE 5: NATURAL LANGUAGE PROCESSING (NLP) 

  • Natural language processing
  • Introduction
  • NLP with RNNs
  • Creating model
  • Transformers and BERT
  • State of art NLP and projects

MODULE 6: REINFORCEMENT LEARNING 

  • Markov decision process
  • Fundamental equations in RL
  • Model-based method
  • Dynamic programming model free methods

MODULE 7: DEEP REINFORCEMENT LEARNING 

  • Architectures of deep Q learning
  • Deep Q learning
  • Policy gradient methods

MODULE 8: GENERATIVE ADVERSARIAL NETWORK (GAN) 

  • Gan introduction
  • Core concepts of GAN
  • Building GAN model with TensorFlow 2.X
  • GAN applications

MODULE 9: DEPLOYING DL MODELS IN THE CLOUD (AWS) 

  • Amazon web services (AWS)
  • AWS SageMaker Overview
  • Sage Makers from Data pipeline to deployments
  • Deploying deep learning models WS Sage maker

OFFERED ARTIFICIAL INTELLIGENCE COURSES IN CHENNAI

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN CHENNAI

Chennai is emerging as a pivotal hub for AI innovation, paralleling AI market in India, set to soar to US$4.11 billion in 2023 and reach US$14.72 billion by 2030 with a 19.99% CAGR, as per Statista. This growth highlights India's expanding role in the global AI arena. In response, DataMites offers comprehensive offline artificial intelligence courses in Chennai, enriched with practical internships and job placement assistance, tailored to meet the surging demand for AI skills in this booming industry.

At DataMites, we tap into the growing demand for artificial intelligence expertise, offering best artificial intelligence training in Chennai. Our Artificial Intelligence Engineer Course is tailored for beginners and intermediate learners, blending AI Expert and Certified Data Scientist essentials. It provides a career-focused foundation, covering statistics, math, Python programming, and in-depth machine learning.

DataMites' Innovative 3-Phase Artificial Intelligence Learning Approach in Chennai;

Phase 1 - Pre-Course Self-Study: We begin with self-paced learning through high-quality videos, laying a strong foundation in Artificial Intelligence fundamentals.

Phase 2 - Interactive Training: Whether opting for live online artificial intelligence courses in Chennai or artificial intelligence classroom courses in Chennai, students engage in an immersive learning experience. This phase encompasses 300 hours of instruction over three months, integrating a comprehensive syllabus, hands-on projects, and guidance from expert trainers.

Phase 3: Internship + Placement Assistance: Hands-on experience with 10 Capstone Projects, a client project, and valuable artificial intelligence internship certification in Chennai.

The dedicated Placement Assistance Team (PAT) in our artificial intelligence training program in Chennai provides comprehensive career guidance and support, ensuring a smooth transition into AI careers. Our artificial intelligence training with placement includes a job-ready component that focuses on practical proficiency, making sure that you are well-prepared for your career in artificial intelligence.

Other Artificial Intelligence Certifications in Chennai at DataMites

DataMites offers a selection of top-tier Artificial Intelligence Certifications in Chennai, each tailored to cater to different professional needs. These include:

  • Artificial Intelligence for Managers: This course empowers managers with AI knowledge, focusing on strategic implementation and leadership in AI projects. It's designed for decision-makers to effectively integrate AI into business processes.

  • Artificial Intelligence Expert: Meticulously crafted to suit beginners and intermediate learners in the data science field. It offers a career-focused introduction to data science, encompassing vital components like statistics, mathematics, Python programming, and in-depth machine learning expertise.

  • Certified NLP Expert: Specializing in Natural Language Processing, this course offers insights into how machines understand human language. It's ideal for those interested in AI's applications in linguistics and communication.

  • Artificial Intelligence Foundation: A foundational course ideal for beginners. It provides an overview of basic AI concepts and principles, setting a solid groundwork for further study in the field.

DataMites Artificial Intelligence Course Syllabus in Chennai

DataMites offers two flagship courses in Artificial Intelligence - AI Expert and AI Engineer.

The AI Expert Course in Chennai empowers learners with in-depth knowledge of neural networks, deep learning, natural language processing, reinforcement learning, and more, making them proficient in cutting-edge AI technologies.

Module 1: Neural Networks

  • Structure of neural networks

  • Core concepts of neural networks

  • Feedforward algorithm

  • Backpropagation

  • Building neural networks from scratch using Numpy.

Module 2: Implementing Deep Neural Networks

  • Introduction to neural networks with tf2.X

  • Creating a simple deep learning model in Keras (tf2.X)

  • Building a neural network model in TF2.0 for the MNIST dataset

Module 3: Deep Computer Vision - Cnn

  • Introduction to Convolutional Neural Networks (CNNs)

  • CNNs with Keras

  • Transfer learning in CNN

  • Style transfer

  • Working with the Flowers dataset using tf2.X

  • Examining X-ray images with a CNN model

Module 4: Natural Language Processing (NLP)

  • Introduction to Natural Language Processing (NLP)

  • NLP with Recurrent Neural Networks (RNNs)

  • Creating NLP models

  • Introduction to Transformers and BERT

  • NLP and project examples

Module 5: Recurrent Neural Network

  • Introduction to Recurrent Neural Networks (RNNs)

  • Working with sequences using RNNs

  • Long Short-Term Memory Networks (LSTM) and GRU

  • Real-world examples of RNN applications

Module 6: Deep Reinforcement Learning

  • Architectures of Deep Q Learning

  • Deep Q Learning

  • Policy gradient methods

Module 7: Generative Adversarial Network (Gan)

  • Introduction to Generative Adversarial Networks (GANs)

  • Core concepts of GAN

  • Building GAN models with TensorFlow 2.X

  • Real-world GAN applications

Module 8: Deploying Dl Models In The Cloud (Aws)

  • Introduction to Amazon Web Services (AWS)

  • Overview of AWS SageMaker

  • From data pipeline to model deployments with SageMaker

  • Deploying deep learning models with AWS SageMaker

Our Artificial Intelligence Engineer Training in Chennai stands out as the industry's premier choice for artificial intelligence education. It undergoes continuous updates to align with the ever-evolving industry demands, ensuring that students receive the most up-to-date knowledge and skills. 

In our AI Engineer Course, we offer a comprehensive blend of the AI Expert and Certified Data Scientist (CDS) programs, ensuring a well-rounded education in the field of artificial intelligence and data science. The course covers a wide range of topics from the CDS curriculum, including:

  1. Python Foundation
  2. Data Science Foundations
  3. Machine Learning Expert
  4. Advanced Data Science
  5. Version Control with Git
  6. Big Data Foundation
  7. Certified BI Analyst
  8. Database: SQL and MongoDB
  9. Artificial Intelligence Foundation

These topics from the CDS course provide a strong foundation and expertise in data science, which is seamlessly integrated into the AI Engineer Course. This holistic approach equips our students with the knowledge and skills necessary to excel in the dynamic field of artificial intelligence.

DataMites Artificial Intelligence Course Tools in Chennai

We cover a comprehensive range of artificial intelligence tools in our Artificial Intelligence courses in Chennai to equip you with the necessary skills and expertise. These tools include:

  1. Anaconda
  2. Python
  3. Apache Pyspark
  4. Git
  5. Hadoop
  6. MySQL
  7. MongoDB
  8. Amazon SageMaker
  9. Google Bert
  10. Google Colab
  11. Advanced Excel
  12. Scikit Learn
  13. Azure Machine Learning
  14. Flask
  15. Apache Kafka
  16. Power BI
  17. GitHub
  18. Numpy
  19. TensorFlow
  20. Pandas
  21. Tableau
  22. Atlassian BitBucket
  23. Natural Language Toolkit
  24. PyCharm

Why DataMites is for Artificial Intelligence in Chennai

  • Expert Faculty: Led by Ashok Veda, a globally recognized Artificial Intelligence expert with 19 years of experience.

  • Internationally Recognized Certifications: Accredited by bodies like IABAC and NASSCOM FutureSkills.

  • Advanced Learning Resources: We provide cutting-edge materials and methodologies.

  • Hands-On Experience: Through projects that simulate real-world challenges.

  • Flexible Learning Options: With both artificial intelligence training online in Chennai and artificial intelligence training offline in Chennai in key locations of Vadapalani, Guindy, and Perungudi.

Building a Foundation in AI: The Impact of Internships

Artificial Intelligence internships play a vital role in translating classroom theories into practical skills, essential for thriving in the AI industry. These internships offer hands-on experience, making concepts more tangible and preparing students for real-world challenges. 

At DataMites, our artificial intelligence courses with internships in Chennai, ensuring students not only learn but also apply their knowledge, giving them a distinct advantage in their professional journey. This blend of education and practical training is key to shaping well-rounded AI professionals.

Launching Careers in AI: Placement Programs in Chennai

Placement programs are a crucial step in launching successful careers in Artificial Intelligence, especially in a dynamic city like Chennai. These programs connect learned skills with industry needs, opening doors to valuable job opportunities. 

DataMites recognizes this importance, integrating Artificial Intelligence Courses with Placement in Chennai. This approach to data science job ready programme ensures that our students are not just educated in AI but are also effectively guided towards fruitful career paths in the field.

Why choose Artificial Intelligence Career in Chennai? 

Chennai, often regarded as the cultural capital of South India, has emerged as a significant hub for the Information Technology (IT) sector, driven by a combination of robust infrastructure, a skilled workforce, and supportive government policies. This city's IT landscape is marked by a blend of established tech giants and burgeoning startups, contributing significantly to India's status as a global IT powerhouse.

In the sphere of Artificial Intelligence (AI), Chennai's industry is witnessing rapid growth, offering various artificial intelligence job roles in Chennai such as AI engineers, machine learning experts, data scientists, and AI researchers. This expansion reflects the increasing adoption of AI across multiple sectors.

The field of Artificial Intelligence (AI) in Chennai offers not just competitive salaries but also diverse and dynamic job roles. AI engineers salary in Chennai can earn between ?4.2 to ?16 lakhs annually, with an average of about ?6 lakhs, as per AmbitionBox. Across India, the average yearly salary for AI engineers salary in India stands at ?11.58 lakhs, according to Glassdoor. With these attractive salaries and a thriving tech community, Chennai stands out as an ideal destination for AI professionals seeking rewarding careers.

As Artificial Intelligence continues to reshape industries, professionals skilled in Artificial Intelligence technologies are increasingly sought after, making now the perfect time to enter this field. Join DataMites for an Artificial Intelligence Training in Chennai that sets you on the path to success in this exciting field. Our institute stands out globally, providing diverse courses in Artificial Intelligence, data science, data analytics, machine learning,blockchain and data engineer.

DESCRIPTION OF ARTIFICIAL INTELLIGENCE COURSE IN CHENNAI

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and perform tasks independently. It involves the development of intelligent systems capable of analyzing data, recognizing patterns, and making informed decisions, replicating human cognitive abilities.

The Artificial Intelligence Engineer course offered by DataMites consists of a bundle of different courses- Artificial Intelligence Foundation, Machine Learning, Tensorflow 2.X Platform, Core Learning Algorithms, Neural Networks, Implementing Deep Neural Networks, Reinforcement Learning, Natural Language Processing, etc. 

The Artificial Intelligence Engineer is the most comprehensive course with the following features:- 

  • Globally Recognised Certification- IABAC 

  • 6 months of live online training.

  • Training by industry experts.

  • Internship Opportunities(10 Capstone Projects and 1 Client Project)

Machine Learning is a branch of Artificial Intelligence, which concerns the ability of machines to learn from experience and subsequently improve themselves, without being influenced by another person.

Deep Learning is a part of Artificial Intelligence and Machine Learning. To be precise, when the data is huge in numbers, Machine Learning doesn’t hold good, as they are incapable of going deep into the data sets. Deep Learning helps to address this problem.  The structure of Deep Learning comprises Artificial Neural Networks which resemble the neuron structure in the human brain. These networks have different layers and are capable enough to pierce inside the large data set to retrieve the relevant information.

To start learning Artificial Intelligence, it is beneficial to have some prerequisites:

Programming Skills: Basic knowledge of programming languages like Python, Java, or C++ is advantageous for implementing AI algorithms and working with AI frameworks.

Mathematics and Statistics: Understanding concepts like linear algebra, calculus, probability, and statistics helps in comprehending AI principles and algorithms.

Data Analysis: Familiarity with data analysis techniques, preprocessing, feature engineering, and visualization is valuable for working with datasets in AI projects.

Basic Machine Learning Concepts: A basic understanding of supervised and unsupervised learning, model evaluation, and popular machine learning algorithms provides a strong foundation for AI learning.

While these prerequisites are recommended, many AI courses cater to different skill levels, including beginners. With dedication and a willingness to learn, individuals from diverse backgrounds can start their journey in Artificial Intelligence.

Some of the technical skills that would prove advantageous in learning an Artificial Intelligence course are:-

  • Knowledge of Mathematics and Statistics.

  • Knowledge of Algorithms.

  • Knowledge of programming languages- C, C++, Java

  • Knowledge of Neural Networks

  • Knowledge of Natural Language Processing- NLP Libraries

Some of the business skills that would prove advantageous in learning an Artificial Intelligence course are:-

  • Analytical Skills

  • Problem Solving 

  • Communication Skills

  • Business Acumen

Python is the most preferred among programming languages in the field of Data Science and Artificial Intelligence. As far as Data Scientist is concerned Python is the most effective programming language, with a lot of libraries available. Python can be deployed at every phase of data science functions. It is beneficial in capturing data and importing it into SQL. Python can also be used to create data sets. 

The Artificial Intelligence course offered by DataMites comprises a topic on Python Programming language. Having a basic understanding of Python is an added advantage for the Artificial Intelligence course.

Machine Learning and Artificial Intelligence are two inter-related topics. The Artificial intelligence course provided by DataMites comprises Machine Learning as a part of its syllabus. However, a basic knowledge of Machine Learning would be an advantage while joining the course.

Yes. The Artificial Intelligence course provided by DataMites covers a topic on Python. It includes concepts such as Building ML Classification Models with Python, Building ML Regression Models with Python, CIFAR-10 classification with Python, Transfer Learning In Python, RNNS In Python

DataMites offers an Artificial Intelligence course in three different modes. The Live Virtual/Online and Classroom training is offered at a fee/cost of Rs 99000/-, and the Self Learning mode is offered at Rs 69000/-.

P.G degree is not a mandatory requirement to pursue an Artificial Intelligence certification. However, a sound knowledge of Technology, Engineering, and Management domains will be an added advantage.

Artificial Intelligence is present everywhere nowadays and is used across functions like Finance, Healthcare, Education, Manufacturing, Retail, Customer Service, etc. Therefore learning Artificial Intelligence will help to increase the chances of your employability in various sectors. AI is also an indispensable factor, for the reason that most of the data today are stored digitally. The potential of AI to be incorporated into data helps in making the right decisions.

The Artificial Intelligence course in Chennai offered by DataMites helps to give you a clear picture of the role of AI in the decision-making and problem-solving process.

This Artificial Intelligence course enables you to:-

  • Understand AI and its relevance in bringing in change in the current industrial scenario.

  • Learn the terminologies that are used in the AI domain.

  • Gain practical knowledge of employing AI and related disciplines in solving complex real-world problems.

  • Make decision making easy.

Chennai is known for lots of business opportunities and large corporate houses adorning the city. This, in turn, contributes to new employment opportunities being created. 

Learning the Artificial Intelligence course in Chennai helps you to leverage the available opportunities and also prepares you for the challenges. Artificial Intelligence is a discipline that is influencing the present in a big way and is expected to grow in the future. Therefore by learning AI you are at the advantage of remaining well equipped in advance to cope with the changing times.

DataMites in Chennai offers the most comprehensive Artificial Intelligence course that is aligned with the state of art industry best practices in the Artificial Intelligence domain.

Chennai has a lot of business opportunities with large corporates gracing the city. The career opportunities in Artificial Intelligence are booming and Chennai is no exception.

DataMites in Chennai provides the most comprehensive Artificial Intelligence Engineer course with the following features.

  • Globally Recognised Certification- IABAC 

  • Experienced Trainers

  • Industry aligned courses

  • Internship Opportunities

  • Job assistance

DataMites caters to graduates and professionals equally. Therefore, DataMites is the best choice for anyone who wishes to become an Artificial Intelligence Engineer in Chennai.

Chennai, in India, is known for lots of business opportunities. It consists of many large companies, business houses, with large amounts of transactions happening every day, as a result of which there is an equally large amount of data generated daily. Also, India. is known for many recognised universities. Learning Artificial Intelligence in India will be a great opportunity for students as well as professionals.

DataMites in Chennai provides the most comprehensive Artificial Intelligence course that is designed as per the current industry requirements. Also, the Artificial Intelligence course provided by DataMites in Chennai is dually certified in collaboration with IABAC.

On completing the Artificial Intelligence course DataMites in Chennai you will be eligible for the following job roles:-

  • Artificial Intelligence Engineer

  • Data Scientist

  • Machine Learning Expert

  • Analytics Manager

The market for Artificial Intelligence in Chennai is booming and is expected to grow in the future. As AI requires the mastering of various disciplines and there are only a few who are good at all of them, the one who can master all the disciplines is at a greater advantage. Career Opportunities in AI are plenty but there is a shortage of skilled AI professionals, therefore there is also a rising demand for the same. Some of the top industries in Chennai for AI are- Banking and Finance,  Information and Communication, Administration, and Support Services.

The artificial intelligence engineer salary in Chennai is INR 7,00,000 per annum in Ambitionbox.com.

India has a good number of small, medium, and large corporations. The opportunity in Artificial Intelligence in India is also plenty. As AI has shown us a way to tackle real-world complexities, the need to incorporate AI into various functions is equally important. All the present-day organisations are well aware of this and have acknowledged this to a great extent.  In simple words, most companies nowadays have found a better way of tackling their day- to day problems with the help of AI. 

Every company in India(Be it Small, Medium, and Large enterprises) requires AI professionals as all of them work on their data and requires some or the other AI expertise to be deployed into the tasks.

Artificial Intelligence, Machine, and Data Science contribute to one another in one or the other way.  Python and R are the two programming languages that are used in the data science process. Some of the reasons, for python being the most preferred programming language in comparison to R:-

  • Easy to learn: Python is easier to understand and master, in comparison to R 

  • Flexible: The flexibility offered by Python offers is better when compared to the R programming language.

  • Availability of libraries: Python has a wide range of libraries available, such as pandas, scikit-learn, etc. This makes it easier in handling machine learning projects.

  • Data visualization: By using matplotlib in Python, you can do the plotting of complex data representations into 2D plots. Data visualization is a significant process in the job of a data scientist. Python can be used for Data Visualisation. 

However as far as Artificial Intelligence is concerned, learning both Python and R will be advantageous.

The instructors at DataMites institute are industry experts who have a good number of years of experience in the field of Artificial Intelligence.

Enrolling in online training online is very simple. The payment can be done using your debit/credit card that includes Visa Card, MasterCard; American Express, or PayPal. You will receive the receipt after the payment is successful. You can get in touch with our educational counsellor for more information.

DataMites conducts classes for Artificial Intelligence courses both during Weekdays and Weekends. You can opt between the two according to your convenience.

DataMites conducts both morning and evening classes for Artificial Intelligence courses in Chennai. You can opt between the two as per your convenience.

Yes. DataMites provides an online lab facility called Pro Lab. You can log in with a username to use this facility.

Yes, DataMites has partnered with many AI companies and provides live Artificial Intelligence projects to work on which helps the candidate to get exposure to the real-world working environment. DataMites provides 10 Capstone projects and 1 client project as part of the Artificial Intelligence course.

The DataMites Placement Assistance Team(PAT)  helps the candidates to have an easy start in his/her career. The team offers services like Resume Building, Interview Preparation. The team will assist you in the following areas;-

Project Mentoring- 100 hrs Live mentoring in industry projects.

Interview Preparations- Mock Interview sessions.

Resume Support- Personal guidance in resume creation by professionals.

Doubt clearing sessions- Live doubt clearing sessions on 

Job updates- Interview connects.

Artificial Intelligence is being widely used across various industries and sectors, revolutionizing the way we live and work. Here are a few examples of AI applications:

  • Virtual Assistants: Virtual assistants like Siri, Alexa, and Google Assistant use AI algorithms to understand and respond to user queries, perform tasks, and provide personalized recommendations.

  • Autonomous Vehicles: Self-driving cars leverage AI technologies such as computer vision, machine learning, and sensor fusion to navigate roads, detect objects, and make real-time decisions to ensure safe and efficient transportation.

  • Chatbots: Chatbots employ natural language processing and machine learning techniques to interact with users and provide automated customer support, answer queries, and assist with various tasks.

  • Recommendation Systems: AI-powered recommendation systems, seen on platforms like Netflix and Amazon, analyze user behavior and preferences to suggest personalized content, products, and services.

  • Fraud Detection: Financial institutions use AI algorithms to detect patterns of fraudulent activities, identify suspicious transactions, and mitigate risks in real-time.

Learning Artificial Intelligence (AI) is valuable because it opens up thriving career opportunities, provides a competitive advantage in the job market, equips individuals with future-proof skills, enhances problem-solving and decision-making abilities, drives innovation and entrepreneurship, enhances efficiency and productivity, and promotes ethical and responsible AI implementation.

Artificial Intelligence Certification Training is open to a wide range of individuals, including working professionals, graduates, career changers, entrepreneurs, students, and researchers. Whether you have a background in IT, data analysis, engineering, or business, AI certification training offers an opportunity to enhance your knowledge and skills in AI technologies. Prior programming or mathematical knowledge can be beneficial, but many training programs accommodate beginners as well. Regardless of your background, if you have a passion for learning and a desire to excel in the field of Artificial Intelligence, you are eligible to enroll in AI certification training.

  • Big Data Engineer

  • Business Intelligence Developer

  • Data scientist

  • Machine learning engineer

  • Research Scientist

  • AI Data Analyst

  • Product Manager

  • AI Engineer

  • Robotic Scientist

  • Data Analyst

Mastering Artificial Intelligence can be a challenging endeavor, but with dedication and persistence, it is achievable. The field of AI encompasses a wide range of concepts, algorithms, and techniques that require a solid understanding of mathematics, programming, and data analysis. However, there are various learning resources, courses, and communities available to support and guide individuals in their AI journey. With continuous learning, practical application, and staying updated with the latest advancements, one can attain mastery in Artificial Intelligence.

The scope of Artificial Intelligence is vast, with opportunities for career growth, industry applications, technological advancements, entrepreneurial ventures, cross-disciplinary collaboration, and societal impact. It offers a promising field with diverse possibilities for professionals to make a significant contribution and shape the future.

Artificial Intelligence Certification in Chennai is important as it validates your skills, provides a competitive advantage in the job market, aligns with industry requirements in Chennai's technology sector, opens up career advancement opportunities, offers practical application experience, and connects you with the local AI community for networking and collaboration.

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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN CHENNAI

The training provided by DataMites for Artificial Intelligence in Chennai is primarily online. However, classroom training can be made available if there is adequate demand.

DataMites is a trusted and globally recognized institute for Artificial Intelligence training. Here's why you should choose us:

  • Expert Faculty: Our courses are taught by experienced industry professionals and subject matter experts who provide comprehensive guidance and mentorship throughout the training.

  • Practical Approach: We emphasize practical learning with hands-on exercises, real-world projects, and case studies to ensure you gain practical skills and can apply AI concepts effectively.

  • Global Accreditation: DataMites is accredited by prestigious organizations like IABAC and NASSCOM FutureSkills, ensuring the quality and industry relevance of our training programs.

  • Placement Assistance: We provide placement assistance to connect you with potential employers and enhance your chances of securing rewarding job opportunities in the field of AI.

  • Flexibility: We offer both classroom and online training options, allowing you to choose the mode that suits your learning preferences and schedule.

The fee for the Artificial Intelligence Training in Chennai varies based on the specific course and mode of training selected. The range of fees typically falls between INR 13,553 to INR 94,478. The exact fee structure can be obtained by contacting DataMites directly, as it may be subject to change and depend on factors such as course duration, curriculum, and training delivery method.

IABAC Certification: DataMites is an accredited training partner of the International Association of Business Analytics Certification (IABAC). You will be awarded an IABAC certification, which is globally recognized and validates your knowledge and skills in Artificial Intelligence.

NASSCOM: DataMites is also a partner of NASSCOM FutureSkills, an industry-driven skilling initiative by NASSCOM. Upon successful completion of the AI training, you will receive the NASSCOM FutureSkills Prime certification, which adds credibility to your AI expertise.

JainX Certification: DataMites has a collaboration with Jain University's School of Engineering and Technology (JainX). Completing the AI training will earn you a certification from JainX, a renowned educational institution in India.

These certifications serve as a testament to your proficiency in Artificial Intelligence and enhance your credibility among employers and industry professionals.

Yes, DataMites offers online AI training in Chennai. Our online training programs provide the flexibility to learn Artificial Intelligence from the comfort of your own location. Through our interactive virtual classrooms, you will have access to live sessions conducted by experienced trainers, hands-on exercises, and real-time discussions with fellow participants. The online AI training from DataMites in Chennai allows you to gain valuable knowledge and skills in Artificial Intelligence without the need for physical attendance at a training center.

Yes. DataMites offers internship opportunities for the Artificial Intelligence course which helps you to get exposure,  understand and implement the concepts learned in the course to build AI models for solving real-world problems. DataMites provides 10 Capstone projects and 1 client project for the Artificial Intelligence course.

Yes. You will learn Deep Learning as a part of the AI Engineer course. It includes - Layers, Loss Function, Optimization, Model Training, and Evaluation, etc.

Yes. You will learn Computer Vision as a part of the Artificial Intelligence course. It includes - Convolutional Neural Networks, CNN with KERAS, Transfer Learning, etc.

Yes. You will learn Neural Networks as a part of the Artificial Intelligence course. It includes - Core Concepts of Neural Networks, Structure of Neural Networks, Back Propagation, etc.

The Artificial Intelligence course offered by DataMites in Chennai covers the following topics:-

  • Artificial Intelligence Foundation.

  • Machine Learning 

  • Tensorflow

  • Core Learning Algorithms 

  • Neural Networks

  • Natural Language Processing(NLP)

  • Deep Computer Vision- Convolutional Neural Networks

  • Reinforcement Learning.

The duration of the Artificial Intelligence Course in Chennai may vary depending on the specific program and its curriculum. Typically, our AI courses range from 1 month to 11 months, with intensive training sessions designed to cover the essential concepts and practical aspects of Artificial Intelligence.

Artificial Intelligence is a vast subject for study, it is a mix of Statistics and Computer Science. DataMites in Chennai offers quality training sessions in Artificial Intelligence, Machine Learning, etc. The Artificial Intelligence courses provided by DataMites in Chennai are exclusively designed in tune with the current industry requirements. Also with many projects to work on, under the mentoring of industry experts.

DataMites offers an Artificial Intelligence course in Chennai in three different modes. The Live Virtual/Online and Classroom training is offered at a fee/cost of Rs 99000/-, and the Self Learning mode is offered at Rs 69000/-.

The registrations cancelled within 48 hrs of enrollment will be refunded in full. The processing time of the refund is within 30 days, from the date of the receipt of the cancellation request

You have access to the online study materials from 6 months up to 1 year.

DataMites accepts all the online payments(Debit/Credit)for the AI course in Chennai through Razor pay. If you opt to pay through your credit card there will be an EMI option. DataMites collect token advance during the time of registration and the remaining payment should be settled in full before the completion of the course.

All the online sessions are recorded. If you happen to miss a session you can access the online recording.

Yes. The Artificial Intelligence certification exam fee is included in the total course fee. Therefore once you are registered for a course, you are also eligible to attend the exam.

Yes. You will learn Natural Language Processing(NLP) as a part of the Artificial Intelligence course. It includes - The Basics of Natural Language Processing, Integer Coding, Word Embedding, and Bag Of Words.

Yes. One of the courses out of the bundle of AI course talks about Reinforcement Learning. It includes- Markov Decision Process, Fundamental Equations in Reinforcement Learning.

Yes. One of the courses out of the bundle of AI course talks about Tensorflow. It includes-Basics of Tensorflow, Installation and Basic Operation in Tensorflow, Tensorflow 2.0 Eager Mode.

Yes. One of the courses out of the bundle of AI course talks about Machine Learning. It includes-Basics of Machine Learning, Mathematics for Machine Learning.

Yes. One of the courses out of the bundle of AI course talks about Python. It includes-

Yes, the  Artificial Intelligence Engineer course provided by DataMites comprises a topic on Machine Learning in the syllabus. Therefore when you learn the AI course, you also get an opportunity to learn Machine Learning. The Machine Learning topics covered are:-

Machine Learning Overview, Mathematics for Machine Learning, Advanced Machine Learning Concepts, etc.

Yes. DataMites will provide you with a course completion certificate after you clear the AI certification examination.

The AI course offered by DataMites in Chennai includes 10 capstone projects and 1 client project.

Yes, DataMites offers classroom training for Artificial Intelligence courses in Chennai. These sessions provide a conducive learning environment where participants can interact with experienced trainers and fellow learners, enabling effective knowledge sharing and collaborative learning. The hands-on practical exercises, group discussions, and face-to-face interactions in classroom training enhance the learning experience and allow for real-time guidance and feedback.

DataMites is a global institute for Artificial Intelligence education. It has a history of training for more than 15000 candidates. The syllabus provided by DataMites in Chennai is exclusively designed in tune with the current industry trends. The following makes DataMites unique from others:-

  • Globally Recognised Certification- IABAC 

  • Experienced Trainers

  • Industry aligned courses

  • Internship Opportunities

  • Career Guidance

  • More than 15000 certified learners

The Flexi-Pass provided by DataMites for Artificial Intelligence training allows participants to attend sessions related to any query or revision for a duration of 3 months. This pass offers flexibility and access to expert guidance, enabling learners to address their specific doubts and review course materials as needed.

To learn Artificial Intelligence, you can enroll in the Artificial Intelligence Course offered by DataMites. Our comprehensive training program provides in-depth instruction and equips you with the necessary knowledge and skills for a successful career in the field of AI.

DataMites offers a range of Artificial Intelligence Courses in Chennai, including:

  • Artificial Intelligence Engineer

  • Artificial Intelligence Expert

  • Certified NLP Expert

  • Artificial Intelligence for Managers

  • Artificial Intelligence Foundation

The AI Engineer Course in Chennai aims to train individuals in the field of Artificial Intelligence, equipping them with the skills to develop intelligent algorithms and create machines that can reason like humans. The course covers topics such as deep learning, machine learning, computer vision, and natural language processing to solve complex problems.

The AI Expert Course in Chennai focuses on the application of Artificial Intelligence in human resource management. It provides participants with the knowledge and understanding of integrating data science and AI into organizational operations. The course enables individuals to leverage AI knowledge for enhancing organizational processes and decision-making.

The eligibility criteria to enroll in the Artificial Intelligence course in Chennai are flexible, and there is no specific qualification required. Anyone with an interest in Artificial Intelligence can join the course. However, individuals with a background in computer science, engineering, mathematics, or related fields are often well-suited for AI training. Basic programming knowledge and familiarity with mathematical concepts can be advantageous in grasping the AI concepts effectively.

At DataMites, we ensure that our trainers are highly qualified and experienced in their respective fields. They are carefully selected based on their industry expertise, certifications, and subject matter knowledge. Our trainers have decades of experience in the industry, enabling them to provide valuable insights and practical guidance to our learners. We prioritize quality and expertise to ensure that you receive the best training experience from skilled professionals in the field of Artificial Intelligence.

We offer various convenient payment methods for our services, including:

  • Cash

  • Net Banking

  • Check

  • Debit Card

  • Credit Card

  • PayPal

  • Visa

  • Mastercard

  • American Express

DataMites provides offline artificial intelligence training in Chennai at three convenient locations: Guindy, Vadapalani, and Perungudi. These locations offer easy access for individuals seeking to enroll in AI courses in Chennai

Certainly, DataMites does offer demo sessions for artificial intelligence classroom courses in Chennai. These sessions offer prospective students an opportunity to gain a firsthand experience of the course content, teaching methods, and the overall learning atmosphere. It allows individuals to evaluate whether the program aligns with their educational objectives and career aspirations before making a commitment.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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