ARTIFICIAL INTELLIGENCE CERTIFICATION AUTHORITIES

Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN GURGAON

Live Virtual

Instructor Led Live Online

154,000
81,900

  • 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
57,900

  • 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
86,900

  • 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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WHY DATAMITES INSTITUTE FOR ARTIFICIAL INTELLIGENCE ONLINE COURSE

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SYLLABUS OF AI COURSE IN GURGAON

MODULE 1 : ARTIFICIAL INTELLIGENCE OVERVIEW 

• Evolution Of Human Intelligence
• What Is Artificial Intelligence?
• History Of Artificial Intelligence
• Why Artificial Intelligence Now?
• 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

MODULE3 : TENSORFLOW FOUNDATION

• 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
• 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 : 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
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 2: PYTHON NUMPY  PACKAGE 

• Introduction to Numpy Package
 • Array as Data Structure
 • Core Numpy functions
 • Matrix Operations, Broadcasting in Arrays

MODULE 3: PYTHON PANDAS PACKAGE

 • Introduction to Pandas package
 • Series in Pandas
 • Data Frame in Pandas
 • File Reading in Pandas
 • Data munging with Pandas

MODULE 4:  VISUALIZATION WITH PYTHON - Matplotlib 

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

MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN

 • Seaborn: Basic Plot
 • Advanced Python Data Visualizations

MODULE 6: ML ALGO: LINEAR REGRESSION

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

MODULE 7: ML ALGO: LOGISTIC REGRESSION 

 • Introduction to Logistic Regression
 • How it works: Classification & Sigmoid Curve
 • Modeling and Evaluation 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 9: ML ALGO: KNN

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

MODULE 1:  FEATURE ENGINEERING 

 • Introduction to Feature Engineering
 • Feature Engineering Techniques: Encoding, Scaling, Data Transformation
 • Handling Missing values, handling outliers
 • Creation of Pipeline
 • Use case for feature engineering

MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

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

MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)

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

MODULE 4: ML ALGO: DECISION TREE 

 • Introduction to Decision Tree & Random Forest
 • How it works
 • Modeling and Evaluation in Python

MODULE 5: ENSEMBLE TECHNIQUES - BAGGING

 • Introduction to Ensemble technique 
 • Bagging and How it works
 • Modeling and Evaluation in Python

MODULE 6: ML ALGO: NAÏVE BAYES

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

MODULE 7:  GRADIENT BOOSTING, XGBOOST 

 • Introduction to Boosting and XGBoost
 • How it works?
 • Modeling and Evaluation of in Python

MODULE 1: TIME SERIES FORECASTING - ARIMA 

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

MODULE 2:  SENTIMENT ANALYSIS

 • Introduction to Sentiment Analysis
 • NLTK Package
 • Case study: Sentiment Analysis on Movie Reviews

MODULE 3:  REGULAR EXPRESSIONS WITH PYTHON 

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

MODULE 4: ML MODEL DEPLOYMENT WITH FLASK 

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

MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL 

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

MODULE 6:  AWS CLOUD FOR DATA SCIENCE

 • Introduction of cloud
 • Difference between GCC, Azure,AWS
 • AWS Service ( EC2 instance)

MODULE 7: AZURE FOR DATA SCIENCE

 • Introduction to AZURE ML studio
 • Data Pipeline
 • ML modeling with Azure

MODULE 8: INTRODUCTION TO DEEP LEARNING

 • Introduction to Artificial Neural Network, Architecture
 • Artificial Neural Network in Python
 • Introduction to Convolutional Neural Network, Architecture
 • Convolutional Neural Network in Python

MODULE 1: DATABASE INTRODUCTION

 • DATABASE Overview
 • Key concepts of database management
 • Relational Database Management System
 • CRUD operations

 MODULE 2: SQL BASICS

 • Introduction to Databases
 • Introduction to SQL
 • SQL Commands
 • MY SQL workbench installation

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
• Windows functions: Over, Partition , Rank 

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

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
 • Git Essentials: Copy & User Setup
 • Mastering Git and GitHub

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

MODULE 5: GIT WITH GITHUB AND BITBUCKET 

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

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

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

MODULE 1: TABLEAU FUNDAMENTALS 

 • Introduction to Business Intelligence & Introduction to Tableau
 • Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
 • Bar chart, Tree Map, Line Chart
 • Area chart, Combination Charts, Map
 • Dashboards creation, Quick Filters
 • Create Table Calculations
 • Create Calculated Fields
 • Create Custom Hierarchies

MODULE 2: POWER-BI BASICS 

 • Power BI Introduction 
 • Basics Visualizations
 • Dashboard Creation
 • Basic Data Cleaning
 • Basic DAX FUNCTION

MODULE 3 : DATA TRANSFORMATION TECHNIQUES

 • Exploring Query Editor
 • Data Cleansing and Manipulation:
 • Creating Our Initial Project File
 • Connecting to Our Data Source
 • Editing Rows
 • Changing Data Types
 • Replacing Values

MODULE 4 :  CONNECTING TO VARIOUS DATA SOURCES 

 • Connecting to a CSV File
 • Connecting to a Webpage
 • Extracting Characters
 • Splitting and Merging Columns
 • Creating Conditional Columns
 • Creating Columns from Examples
 • Create Data Model

MODULE 1: NEURAL NETWORKS 

 • Structure of neural networks
 • Neural network - core concepts(Weight initialization)
 • Neural network - core concepts(Optimizer)
 • Neural network - core concepts(Need of activation)
 • Neural network - core concepts(MSE & RMSE)
 • Feed forward algorithm
 • Backpropagation

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 - IMAGE RECOGNITION

• Convolutional neural networks (CNNs)
• CNNs with Keras-part1
• CNNs with Keras-part2
• Transfer learning in CNN
• Flowers dataset with tf2.X(part-1)
• Flowers dataset with tf2.X(part-2)
• Examining x-ray with CNN model

MODULE 4 : DEEP COMPUTER VISION - OBJECT DETECTION

 • What is Object detection
 • Methods of Object Detections
 • Metrics of Object detection
 • Bounding Box regression
 • labelimg
 • RCNN
 • Fast RCNN
 • Faster RCNN
 • SSD
 • YOLO Implementation
 • Object detection using cv2

MODULE 5: RECURRENT NEURAL NETWORK 

• RNN introduction
• Sequences with RNNs
• Long short-term memory networks(part 1)
• Long short-term memory networks(part 2)
• Bi-directional RNN and LSTM
• Examples of RNN applications

MODULE 6: NATURAL LANGUAGE PROCESSING (NLP)

• Introduction to Natural language processing
• Working with Text file
• Working with pdf file
• Introduction to regex
• Regex part 1
• Regex part 2
• Word Embedding
• RNN model creation
• Transformers and BERT
• Introduction to GPT (Generative Pre-trained Transformer)
• State of art NLP and projects

MODULE 7: PROMPT ENGINEERING

• Introduction to Prompt Engineering
• Understanding the Role of Prompts in AI Systems
• Design Principles for Effective Prompts
• Techniques for Generating and Optimizing Prompts
• Applications of Prompt Engineering in Natural Language Processing

MODULE 8: REINFORCEMENT LEARNING

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

MODULE 9: DEEP REINFORCEMENT LEARNING

• Architectures of deep Q learning
• Deep Q learning
• Reinforcement Learning Projects with OpenAI Gym

MODULE 10: Gen AI

• Gan introduction, Core Concepts, and Applications
• Core concepts of GAN
• GAN applications
• Building GAN model with TensorFlow 2.X
• Introduction to GPT (Generative Pre-trained Transformer)
• Building a Question answer bot with the models on Hugging Face

MODULE 11: Gen AI

• Introduction to Autoencoder
• Basic Structure and Components of Autoencoders
• Types of Autoencoders: Vanilla, Denoising, Variational, Sparse, and Convolutional Autoencoders
• Training Autoencoders: Loss Functions, Optimization Techniques
• Applications of Autoencoders: Dimensionality Reduction, Anomaly Detection, Image

OFFERED ARTIFICIAL INTELLIGENCE COURSES IN GURGAON

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN GURGAON

Artificial Intelligence (AI) is no longer a concept of the future; it is a transformative force reshaping industries worldwide. Gurgaon, with its advanced infrastructure, thriving corporate ecosystem, and proximity to global IT hubs, has emerged as a powerhouse for AI innovation in India. As a city known for its technological acumen, Gurgaon offers an unparalleled environment for individuals aspiring to excel in AI and machine learning.

DataMites is a globally recognized provider of AI and ML courses in Gurgaon, offering comprehensive programs in Gurgaon to empower individuals to excel in the rapidly evolving AI domain. With a curriculum centered on hands-on projects, real-world applications, and career-oriented support, DataMites has become the preferred choice for Artificial Intelligence Course in Gurgaon with placement assistance to its students.

The Artificial Intelligence Engineer Course by DataMites, accredited by IABAC and NASSCOM FutureSkills, adheres to global industry standards. This 9-month, immersive training program is offered at an offline center in Gurgaon, blending in-person instruction with practical learning. The course offers live projects, internships, and training designed to cater to both professionals and students. With dedicated placement support, participants gain the skills and confidence required to excel in AI-driven industries.

Unlocking AI Potential in Gurgaon

Gurugram, formerly known as Gurgaon, is a thriving city situated just southwest of New Delhi in northern India. Recognized as a major financial and technology hub, it ranks as the third-highest city in India in terms of per capita income. With the Indian offices of nearly half of the Fortune 500 companies, Gurgaon epitomizes modern economic growth. The city’s industrial development began in the 1970s when Maruti Suzuki Private Limited established its first manufacturing unit here, setting the stage for its transformation into a key economic center. Along with its neighboring cities like Noida, Delhi, and Chandigarh, Gurgaon is emerging as a prominent player in the region's growth.

Delhi, the capital of India, is a bustling metropolis that blends rich historical heritage with modern advancements. It serves as a central hub for a wide range of industries, including government, education, finance, real estate, and information technology. The city’s world-class infrastructure strengthens its position as a global business destination.

According to Grand View Research, the global wearable AI market was valued at USD 26,879.9 million in 2023 and is expected to expand to USD 166,468.3 million by 2030, registering a CAGR of 29.8% between 2024 and 2030.

Noida, or New Okhla Industrial Development Authority, is a rapidly growing city located southeast of Delhi, within the National Capital Region (NCR). Known for its booming IT and tech ecosystem, Noida has become a prime destination for multinational corporations, software companies, and IT startups. The city boasts numerous IT parks and business hubs, positioning it as a leading center for technology and innovation in India.

Why Gurgaon is Emerging as a Leading Hub for AI Training

Gurgaon, also called Gurugram, has quickly positioned itself as one of the top destinations for Artificial Intelligence training, drawing interest from both Indian and international learners. Several unique factors have contributed to its growth as a hub for AI education and skill development:

  1. Strategic Location and Connectivity: Situated close to New Delhi, Gurgaon benefits from excellent connectivity to the national capital, international airports, and global business networks.
  2. Strong IT and Corporate Presence: The city is home to a large number of leading IT firms, multinational corporations, and innovative startups especially in fintech, software, and e-commerce. Among the top IT companies in Gurgaon are Tata Consultancy Services (TCS), Infosys, Wipro, HCL Technologies, Cognizant, Accenture, Oracle, and IBM, all of which have established a strong presence in the region. Major IT hubs such as Cyber City, Golf Course Road, Udyog Vihar, WorldMark, International Tech Park Gurgaon (ITPG), and Candor TechSpace further strengthen Gurgaon’s position as a booming technology and corporate destination.
  3. Vibrant Startup Scene: The city is home to many AI and machine learning startups working on groundbreaking applications across industries such as healthcare, finance, retail, and automotive.
  4. Rising Industry Demand: As organizations increasingly integrate AI into their operations, the need for trained AI professionals in Gurgaon continues to grow at a rapid pace.

By combining world-class infrastructure, reputed Artificial Intelligence institutes, proximity to Delhi, and an expanding tech ecosystem, Gurgaon stands out as one of the most promising destinations for AI training and career growth in India.

Top AI Job Roles in Gurgaon to Skills to Master

Gurgaon, recognized as one of India’s leading financial and technology hubs, provides vast opportunities for pursuing artificial intelligence certification in Gurgaon, with applications spanning industries like fintech, healthcare, e-commerce, and automotive. Highlighted below are some of the most sought-after AI job roles in the city:

  1. Data Scientist: Responsible for examining and interpreting complex datasets, data scientists leverage AI-driven models to deliver business insights and forecast future trends. Data Scientists in India earn an average salary of INR 13.6 Lakh per year.
  2. Machine Learning Engineer: These professionals build and optimize machine learning models and algorithms that enhance processes, services, and product performance. Machine Learning Engineers in India have an average annual salary of INR 10.5 Lakh.
  3. AI Research Scientist: Dedicated to innovation, research scientists advance the field by creating new AI frameworks and technologies. AI Research Scientists in India earn around INR 25.8 Lakh per year on average.
  4. Natural Language Processing (NLP) Specialist: Experts in NLP design solutions such as chatbots, voice assistants, sentiment analysis systems, and speech recognition tools to facilitate natural human–machine interaction.
  5. AI Product Manager: Overseeing the lifecycle of AI-based products, product managers ensure successful integration of AI technologies with business objectives. AI Product Managers in India receive an average salary of INR 25.0 Lakh per year.

To excel in these roles, professionals need to master essential Artificial Intelligence skills, such as programming in Python or R, building machine learning models, working with neural networks, and using tools like TensorFlow and Keras. Proficiency in big data frameworks such as Hadoop and Spark, along with expertise in cloud platforms and AI ethics, significantly boosts their competitive advantage.

In addition, strong soft skills, including analytical thinking, problem-solving, and effective communication, are vital for interpreting AI insights and conveying them clearly to stakeholders.

Why Choose DataMites for Artificial Intelligence Training in Gurgaon?

  1. Global Recognition: Our Artificial Intelligence courses in Gurgaon are backed by credentials accredited by prestigious organizations like IABAC and NASSCOM FutureSkills.
  2. Expert Faculty: Gain valuable insights and practical knowledge from industry leaders, including the esteemed AI specialist Ashok Veda, who bring real-world expertise to the learning experience.
  3. Offline Center: DataMites provides both online and offline Artificial Intelligence courses in Gurgaon, with a conveniently located offline center for easy accessibility.
  4. Practical Project and Internships: Our Artificial Intelligence Courses in Gurgaon with internships, seamlessly combine academic learning with practical training.
  5. Placement Assistance: DataMites offers Artificial Intelligence courses in Gurgaon with placement assistance, ensuring a seamless transition from education to employment.

Innovative 3-Phase Learning Methodology at DataMites

DataMites follows a well-structured 3-Phase Learning Methodology, designed to provide an engaging and hands-on learning experience.

Phase 1: Pre-Course Self-Study

Students begin their learning journey with high-quality video tutorials and study materials, building a solid foundation in artificial intelligence concepts.

Phase 2: Immersive Training

This phase involves 20 hours of training per week, spread over a period of three months. Learners have the option to choose between live online sessions or offline artificial intelligence courses in Gurgaon. The curriculum combines practical projects, expert guidance, and industry-specific content to ensure a comprehensive learning experience.

Phase 3: Internship & Placement Assistance

Students undertake 20 capstone projects and a client project, earning a valuable internship certification upon completion. DataMites' Placement Assistance Team (PAT) offers career support, helping students land opportunities with leading companies.

Comprehensive Artificial Intelligence Curriculum

Our Artificial Intelligence Engineer Courses in Gurgaon integrate the AI Expert and Certified Data Scientist (CDS) programs, offering a thorough and comprehensive education in artificial intelligence and data science course. The curriculum covers a wide range of topics in the Artificial Intelligence course, 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

This comprehensive approach ensures that students acquire the essential knowledge and skills required to excel in the fast-evolving and dynamic field of artificial intelligence.

Additional AI Certifications from DataMites

  1. Artificial Intelligence for Managers: A program crafted for business leaders, emphasizing the integration of AI into strategic business operations and decision-making.
  2. Certified NLP Expert: This course specializes in Natural Language Processing, making it perfect for those keen on AI’s role in understanding and interpreting human language.
  3. Artificial Intelligence Expert: This course is tailored for both beginners and intermediate data science professionals, offering a solid, career-oriented foundation in AI.
  4. Artificial Intelligence Foundation: A comprehensive introductory program that provides a deep understanding of the fundamental principles and concepts of AI.

DataMites Artificial Intelligence Course Tools in Gurgaon

In our Artificial Intelligence Certification in Gurgaon, we provide comprehensive coverage of a wide array of AI tools, ensuring you gain the essential skills and expertise. These tools encompass:

  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

DataMites Offline Centre in Gurgaon

The offline Artificial Intelligence certification in Gurgaon is available at MyBranch, Unit No 205, Green Wood Plaza, 2nd, Block B, Greenwood City, Sector 45, Gurugram, Haryana 122023. The DataMites artificial intelligence course in Gurgaon equips graduates, professionals, and career changers with industry-relevant skills through practical, hands-on training for real-world AI projects.

Learners from key localities such as DLF Cyber City (122002), MG Road (122002), Udyog Vihar (122016), Sohna Road (122018), Golf Course Road (122009), Palam Vihar (122017), Sector 14 (122001), Sector 29 (122002), and Sector 48 (122018), as well as nearby areas like South City (122001), Sushant Lok (122009), DLF Phase 1–5 (122002, 122009, 122010), Rajiv Nagar (122001), and Manesar (122052), can conveniently access the DataMites centre in Gurgaon for offline classes. This makes it a highly accessible and effective option for hands-on AI training in the region.

Artificial Intelligence Course in Gurgaon with Internships

DataMites offers a comprehensive artificial intelligence course in Gurgaon with internships, designed to integrate solid theoretical knowledge with real-world industry experience. The program combines interactive classroom training with practical projects, enabling learners to develop hands-on expertise and confidence. With this balanced approach, students are well-prepared to excel in the rapidly growing AI sector and build successful, future-ready careers.

Artificial Intelligence Course in Gurgaon with Placement

DataMites offers an artificial intelligence course in Gurgaon with placement, designed to provide learners with a strong academic foundation along with practical, job-ready skills for the AI industry. With dedicated placement support and strong industry tie-ups, the program helps students secure opportunities with leading technology companies in Gurgaon and beyond. This ensures a smooth entry into the AI job market and empowers learners to build long-term, rewarding careers in artificial intelligence.

A Strategic Path to AI Success

DLF Limited, one of India’s leading real estate companies, has acquired major land holdings in Gurgaon. The city’s rise as a corporate hub began in 1997 when General Electric (GE) became the first major American brand to establish operations here. GE’s entry paved the way for several global and domestic firms to set up outsourcing centers in software, IT, services, and sales, strengthening Gurgaon’s reputation as a business powerhouse.

Amid this booming ecosystem, DataMites offers a comprehensive artificial intelligence course in Gurgaon, designed for professionals and entrepreneurs seeking certification in this transformative field. The program is delivered by experienced faculty and emphasizes practical training with real-world applications. Learners gain hands-on experience through a 24/7 cloud lab, allowing them to practice extensively and build the expertise needed to solve complex business problems with AI.

In addition to its Artificial Intelligence programs, the DataMites Training Institute in Gurgaon offers a wide range of specialized courses, including Machine Learning, Data Analytics course, Deep Learning, Python, IoT, Data Engineering, MLOps, Tableau, Data Mining, Python for Data Science, Data Analyst course, and comprehensive Data Science programs. Kickstart your journey into this dynamic field with DataMites Gurgaon and unlock rewarding career opportunities in the world of AI and Data.

DESCRIPTION OF ARTIFICIAL INTELLIGENCE COURSE IN GURGAON

Key skills include programming languages such as Python, R, and Java, strong foundations in mathematics, statistics, machine learning, deep learning, and NLP, as well as analytical thinking and problem-solving abilities. 

Artificial intelligence adoption is rapidly growing across industries like IT, finance, healthcare, e-commerce, and automotive. Gurgaon’s thriving IT ecosystem and startup culture provide ample opportunities for roles such as AI Engineer, Data Scientist, and Machine Learning Specialist.

Artificial intelligence certification courses in Gurgaon typically range from 3 to 6 months, while more advanced programs can extend to 9–12 months, depending on curriculum depth.

Entry-level artificial intelligence professionals in Gurgaon earn approximately INR 4–6 LPA. Experienced roles like AI Engineer or Data Scientist can command INR 10–20 LPA or more, depending on expertise and responsibilities.

The artificial intelligence course fees in Gurgaon typically range from INR 40,000 to INR 2,00,000, depending on the institute, course level, and curriculum offered.

Yes. With Gurgaon's booming IT sector and startups, there is high demand for AI Engineers, Machine Learning Experts, and Data Analysts across multiple industries.

Students, IT professionals, engineers, data analysts, and career changers can enroll. While prior programming knowledge is beneficial, beginner-friendly courses welcome learners from non-technical backgrounds.

Popular artificial intelligence tools include TensorFlow, PyTorch, Keras, Scikit-learn, IBM Watson, OpenAI APIs, Microsoft Azure AI, and Google AI Platform for building, training, and deploying AI models efficiently.

Absolutely. Most artificial intelligence courses in Gurgaon start with fundamental concepts and gradually progress to advanced topics, often including hands-on projects to reinforce learning.

Joining structured AI training programs that combine theory with practical projects is ideal. Additionally, practicing on platforms like Kaggle and GitHub helps strengthen skills.

Courses often include:

  • Introduction to AI and Machine Learning
  • Python Programming
  • Data Preprocessing and Analysis
  • Deep Learning & Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision
  • AI Deployment and Ethics

Yes. Coding, particularly in Python, is essential for developing, testing, and deploying AI models.

Start by learning Python programming, along with mathematics, statistics, and machine learning fundamentals, then gain hands-on experience with AI projects.

AI transforms industries by automating tasks, improving decision-making, and enabling smart, data-driven solutions. Applications range from chatbots to autonomous vehicles and predictive analytics.

An AI Engineer builds intelligent systems that mimic human behavior, while a Machine Learning Engineer focuses on designing algorithms and models that allow systems to learn from data.

Yes. Many institutes offer flexible schedules, including evening, weekend, and online classes to accommodate working professionals.

Commonly taught languages include Python, R, Java, and C++, with Python being the most popular due to its simplicity and robust AI libraries.

Graduates can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, Computer Vision Specialist, or AI Researcher.

Yes. With the right training, hands-on projects, and practical experience, professionals from any background can transition into artificial intelligence by learning programming, machine learning, and data analysis.

Yes. Python is the most widely used language in artificial intelligence because of its simplicity and the availability of powerful libraries like TensorFlow, Keras, and Scikit-learn.

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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN GURGAON

The artificial intelligence course at DataMites Gurgaon typically lasts 3 to 9 months, depending on the program level (beginner, advanced, or expert) and the learning mode (classroom, live online, or self-paced).

The DataMites artificial intelligence course fees in Gurgaon range from INR 40,000 toINR 1,50,000, depending on the program level. Flexible payment options, EMI plans, and special discounts are also available.

Yes. DataMites Gurgaon offers a free demo session to help students assess the teaching style, course content, and overall learning experience before enrolling.

Yes. Many artificial intelligence courses at DataMites Gurgaon provide internship opportunities, giving learners valuable industry exposure and practical experience.

Yes. DataMites Gurgaon offers flexible EMI and installment plans, making it easier for students to pursue AI training without financial stress.

DataMites Gurgaon has a transparent refund policy, allowing students to request a refund within a specified period according to the enrollment terms.

Yes. DataMites Gurgaon offers classroom-based training along with online learning options for remote students.

Students receive a DataMites certification, along with globally recognized credentials from IABAC® and NASSCOM FutureSkills, validating their AI expertise.

To begin your AI journey, register online or visit the DataMites Gurgaon center, choose a program aligned with your goals, and start learning through a combination of theory and hands-on projects.

DataMites Gurgaon is known for its industry-focused curriculum, expert mentors, hands-on projects, globally accredited certifications, and strong career support, making it ideal for both beginners and working professionals.

DataMites Gurgaon is located at MyBranch, Unit No 205, Green Wood Plaza, 2nd, Block B, Greenwood City, Sector 45, Gurugram, Haryana 122023.

Absolutely. The AI course offers hands-on experience with real datasets, industry projects, and case studies, ensuring learners develop job-ready skills.

The trainers are industry professionals in AI, Data Science, and Machine Learning with real-world experience and global certifications, ensuring students gain practical, career-ready knowledge.

Yes. Career assistance includes resume building, mock interviews, and job referrals to help students secure roles in Gurgaon’s growing tech industry.

The Flexi Pass allows learners to attend sessions for up to three months from the start date, enabling them to revisit missed classes and reinforce their learning.

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 Gurgaon includes 10 capstone projects and 1 client project.

The mode of training offered by DataMites in Gurgaon is primarily online. However, classroom training can be made available in Gurgaon,  if there is adequate demand for the same.

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 Gurgaon 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

DataMites provides Flexi Pass, which gives you the privilege to attend unlimited batches in a year. The Flexi Pass is specific to one particular course. Therefore if you have a Flexi pass for a particular course of your choice, you will be able to attend any number of sessions of that course. It is to be noted that a Flexi pass is valid for a particular period.

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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