ARTIFICIAL INTELLIGENCE CERTIFICATION AUTHORITIES

Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN NAGPUR

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 COURSE

Why DataMites Infographic

SYLLABUS OF AI COURSE IN NAGPUR

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 NAGPUR

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN NAGPUR

Artificial Intelligence (AI) has emerged as a groundbreaking technology, significantly impacting industries worldwide, and Nagpur is increasingly becoming a hub for AI-driven innovation. With a surge in tech startups and established companies embracing AI, Nagpur has positioned itself as a city at the heart of AI development in India.

DataMites stands out globally as a leading provider of AI and ML courses in Nagpur, offering comprehensive programs designed to empower individuals to excel in the evolving field of artificial intelligence. With a curriculum focused on hands-on projects, real-world applications, and career-oriented support, DataMites is the trusted choice for artificial intelligence courses in Nagpur, providing placement assistance to students.

The Artificial Intelligence Engineer Course offered by DataMites is accredited by IABAC and NASSCOM FutureSkills, ensuring it aligns with global industry standards. This extensive 9-month training is available at an offline center in Nagpur, blending in-person instruction with practical immersion. The course includes live projects, internships, and artificial intelligence training in Nagpur tailored for both professionals and students. With dedicated placement support, participants acquire the skills and confidence needed to succeed in AI-driven industries.

Nagpur: A Growing AI Ecosystem

The demand for artificial intelligence courses in Nagpur is witnessing rapid growth as industries across Maharashtra increasingly adopt automation, predictive analytics, and AI-powered solutions. Enrolling in an artificial intelligence course in Nagpur provides learners with the skills needed to master Machine Learning Course, Deep Learning, and Data Science Course, while also offering hands-on experience through real-world projects and case studies. With Maharashtra positioning itself as a rising hub for IT, manufacturing, and smart city development, the need for skilled AI professionals has never been greater. Structured AI training not only opens doors to diverse career opportunities but also helps learners remain competitive in today’s fast-evolving job market.

Global studies further highlight this potential. According to PwC, Artificial Intelligence is expected to contribute nearly $15.7 trillion to the world economy by 2030. This growth will be driven by enhanced productivity through automation, data-driven decision-making, and groundbreaking AI-enabled innovations. Nations and regions investing significantly in AI research, adoption, and training are set to gain a competitive edge, creating immense opportunities for professionals equipped with the right skills.

According to Precedence Research In 2023, the global artificial intelligence (AI) market was valued at USD 538.13 billion and is projected to expand at a CAGR of 19%, reaching USD 2,575.16 billion by 2032.

Why Choose Artificial Intelligence Training in Nagpur?

Nagpur is fast emerging as a booming tech hub in India, making it an attractive destination for aspiring Artificial Intelligence (AI) professionals. With a robust IT infrastructure, a supportive business ecosystem, and a rising demand for skilled talent, the city is positioning itself as a prime center for AI education and career growth. Here’s why pursuing artificial intelligence training in Nagpur can be a smart choice:

  1. Growing Tech Ecosystem:
    Nagpur is emerging as a major tech hub with rising IT companies, startups, and research institutions, creating strong opportunities for AI professionals. Maharashtra’s other IT centers, Pune and Mumbai, further boost this growth. Pune hosts leading IT parks like Hinjewadi, Magarpatta, and EON, with global firms such as Infosys, TCS, Wipro, Cognizant, and Tech Mahindra. Mumbai, the financial capital, booming with IT firms, fintech leaders, and startups driving AI adoption. In Nagpur, hubs like MIHAN IT Park are attracting giants like HCL, TCS, Infosys, and Tech Mahindra, strengthening the state’s position in India’s tech landscape.
  2. Strategic Location:
    Situated in the heart of India, Nagpur enjoys excellent connectivity to major technology hubs like Mumbai, Pune, and Hyderabad. This central positioning enables learners and professionals in Nagpur to conveniently build networks, gain exposure to resources, and tap into career opportunities across these thriving cities.
  3. Robust Educational Ecosystem:
    Nagpur is home to well-regarded universities, colleges, and specialized training centers that offer Artificial Intelligence programs and certifications. An Artificial Intelligence training institute in Nagpur delivers industry-focused courses designed with practical exposure, ensuring students acquire job-ready skills.
  4. Cost-Effective Learning Environment:
    When compared to metropolitan cities such as Mumbai and Bangalore, Nagpur offers a significantly lower cost of living as well as affordable education options. This makes it a preferred destination for individuals aiming for quality AI training without high expenses.
  5. Rising Career Prospects:
    The requirement for AI professionals in Nagpur is steadily growing across industries like healthcare, manufacturing, finance, retail, and more. Roles such as Data Scientist, AI Engineer, Machine Learning Engineer, and NLP Specialist are becoming increasingly sought after, opening promising career paths for trained professionals.

Prominent AI Job Roles in Nagpur and Skills to Master

Prominent AI Job Roles in Nagpur and Skills to Master

Nagpur’s rapidly growing tech ecosystem and the increasing adoption of Artificial Intelligence (AI) across multiple industries present a wealth of career opportunities for AI professionals. The city’s expanding IT sector, along with the rising demand for AI-powered solutions in sectors like healthcare, manufacturing, finance, and retail, has created several prominent AI job roles. Here are some of the key AI career paths available in Nagpur:

  1. AI Engineer:
    AI Engineers design, develop, and implement AI models and systems, integrating them into real-world applications to address complex challenges using machine learning algorithms and deep learning methods. According to AmbitionBox, AI Engineers in Nagpur earn an average of INR 8 lakhs per year.
  2. Machine Learning Engineer:
    Machine Learning Engineers are responsible for developing algorithms that allow systems to learn from data and deliver accurate predictions. Their work involves building, training, and deploying ML models that improve the efficiency and functionality of AI solutions. As per AmbitionBox, the average salary of a Machine Learning Engineer in Nagpur is around INR 7.1 lakhs annually.
  3. Data Scientist:
    Data Scientists play a crucial role in Artificial Intelligence by examining vast datasets to uncover trends, insights, and hidden patterns. They leverage statistical techniques and machine learning tools to address business challenges and support data-driven decision-making. According to AmbitionBox, Data Scientists in Nagpur earn an average yearly salary of approximately INR 8.1 lakhs.
  4. Natural Language Processing (NLP) Engineer:
    NLP Engineers focus on building AI solutions capable of understanding, interpreting, and generating human language. Their expertise is applied in areas such as chatbots, voice assistants, sentiment detection, and language translation tools.
  5. Computer Vision Engineer:
    Computer Vision Engineers design and implement algorithms that allow machines to recognize, analyze, and interpret visual information. Their work is widely used in fields like facial recognition, image classification, object tracking, and autonomous driving systems. According to AmbitionBox, Computer Vision and Deep Learning Engineers in Nagpur earn an average of INR 16.4 lakhs per year.

To succeed in these roles, professionals must develop key AI skills such as programming in Python Course or R, designing machine learning models, working with neural networks, and leveraging tools like TensorFlow and Keras. Expertise in big data tools such as Hadoop and Spark, familiarity with cloud technologies, and a solid understanding of AI ethics further enhance their skill set.

Additionally, strong soft skills including analytical thinking, problem-solving, and clear communication are essential for interpreting AI insights and effectively conveying them to stakeholders.

Why Choose DataMites for Artificial Intelligence Training in Nagpur?

  1. Global Recognition: Our artificial intelligence courses in Nagpur are backed by credentials accredited by prestigious organizations like IABAC and NASSCOM FutureSkills.
  2. Expert Faculty: Learn from industry leaders, including AI expert Ashok Veda, who provide valuable insights and practical knowledge.
  3. Offline Center: DataMites provides both online and offline artificial intelligence courses in Nagpur, with a conveniently located offline center for easy accessibility.
  4. Practical Project and Internships: Our artificial intelligence courses in Nagpur with internships, seamlessly combine academic learning with practical training.
  5. Placement Assistance: DataMites offers artificial intelligence courses with placement assistance in Nagpur, ensuring a seamless transition from education to employment.

Innovative 3-Phase Learning Methodology at DataMites

DataMites follows a comprehensive 3-Phase Learning Methodology to deliver an engaging and hands-on learning experience.

Phase 1: Pre-Course Self-Study

Students start their learning journey with top-tier video tutorials and study resources, providing them with a strong foundation in artificial intelligence concepts.

Phase 2: Immersive Training

This phase includes 20 hours of weekly training over three months. Learners have the option to choose between live online sessions or offline artificial intelligence courses in Nagpur. The curriculum incorporates practical projects, expert guidance, and industry-focused content.

Phase 3: Internship & Placement Assistance

Students work on 20 capstone projects and a client project, earning a distinguished internship certification. DataMites' Placement Assistance Team (PAT) provides career support to help students secure positions with top companies.

Comprehensive Artificial Intelligence Curriculum

Our Artificial Intelligence Engineer Course in Nagpur integrates 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 our students acquire the critical knowledge and skills required to excel in the ever-evolving field of artificial intelligence.

Additional AI Certifications from DataMites

  1. Artificial Intelligence for Managers: A program designed for business leaders, focusing on the integration of AI into strategic business initiatives.
  2. Certified NLP Expert: Specializing in Natural Language Processing, this course is ideal for those passionate about AI’s role in understanding and processing human language.
  3. Artificial Intelligence Expert: Tailored for both beginners and intermediate data science professionals, this course provides a solid, career-oriented foundation in AI.
  4. Artificial Intelligence Foundation: A beginner-friendly course that offers a comprehensive understanding of AI principles and concepts.

DataMites Artificial Intelligence Course Tools in Nagpur

In our artificial intelligence  Certification in Nagpur, 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 Nagpur

The Offline artificial intelligence certification in Nagpur is offered at Asterisk Co-working, 5th Floor, Tirupati Enclave, 501, Baji Prabhu Deshpande Chowk, Gokulpeth, Nagpur, Maharashtra 440001. The DataMites artificial intelligence course in Nagpur is designed for fresh graduates, working professionals, career switchers, and anyone looking to build a career in data. The program emphasizes practical, industry-relevant skills, providing learners with hands-on experience to confidently tackle real-world AI projects.

Learners from key localities such as Ravi Nagar (440015), Lashkari Bagh (440008), Sitabuldi (440012), Dharampeth (440010), Itwari (440002), Sadar Bazar (440001), Wadi (440024), Wardha Road (440021), Dhantoli (440012), Butibori (441108), Manish Nagar (440016), Manewada Road (440027), Kamptee Road (440017), Ramdas Peth (440012), Nandanvan Colony (440009), and Mahal (440001) can conveniently access the Nagpur center for offline classes at DataMites, making it an ideal choice for hands-on AI learning in the region.

Artificial Intelligence Course with Internships in Nagpur

DataMites provides Artificial Intelligence Course with Internships in Nagpur, ensuring a well-rounded learning journey. The program blends theoretical instruction with real-world practice, enabling learners to develop the expertise needed to succeed in the AI industry.

Artificial Intelligence Course with Placement in Nagpur

DataMites provides Artificial Intelligence Courses with Placement in Nagpur, equipping students with both academic knowledge and professional readiness for the AI job market. Through strong industry connections, students are guided toward opportunities with leading tech firms, ensuring a smooth transition into the AI industry and fostering successful, long-term careers in Artificial Intelligence.

Launch Your Artificial Intelligence Career in Nagpur

Nagpur, situated in the Indian state of Maharashtra, is a dynamic city recognized for its rich cultural heritage and commercial importance. As a prominent educational hub with esteemed institutions and an expanding tech sector, Nagpur provides an ideal environment for those seeking Artificial Intelligence Certification. The city combines academic resources, industrial prospects, and a vibrant learning community, making it a great destination for AI enthusiasts.

With its rapidly expanding IT and technology sector, Nagpur offers vast opportunities for AI professionals. An artificial intelligence course in Nagpur provides the perfect blend of global-standard learning, industry exposure, and hands-on training. Whether you are a student, a working professional, or an entrepreneur, this program equips you with the expertise and skills required to thrive in today’s AI-driven world.

Along with Artificial Intelligence courses, DataMites Training Institute in Nagpur also offers Machine Learning, Data Analytics Courses, Deep Learning, Python Training, IoT, Data Engineer, MLOps, Tableau, Data Mining, Python for Data Science, Data Analyst course, and Data Science programs in Nagpur. Don’t miss the opportunity to be part of this transformative field—take the first step toward your AI career with DataMites Nagpur today!

ABOUT ARTIFICIAL INTELLIGENCE COURSE IN NAGPUR

The scope of Artificial Intelligence (AI) in Nagpur is growing rapidly as industries like IT, healthcare, finance, manufacturing, and education adopt AI-driven solutions. With Nagpur’s expanding tech ecosystem and Smart City initiatives, there are increasing career opportunities for AI Engineers, Data Scientists, and Machine Learning specialists.

Essential skills include programming (Python, R, Java), mathematics, statistics, machine learning, deep learning, and natural language processing (NLP). Critical thinking, problem-solving, and familiarity with AI tools like TensorFlow and PyTorch are also highly valuable.

AI courses usually last 3 to 6 months for certification programs, while advanced diploma or postgraduate courses may extend to 9 to 12 months.

Entry-level AI professionals in Nagpur earn around ₹4 LPA to ₹6 LPA, while experienced AI Engineers can earn ₹10 LPA to ₹20 LPA or more, depending on role and expertise.

AI course fees in Nagpur typically range from ₹40,000 to ₹2,00,000, depending on the institute, course duration, and curriculum depth.

Yes. With Nagpur’s IT sector expanding and businesses adopting AI technologies, AI professionals such as Engineers, Data Analysts, and ML Experts are in high demand across multiple industries.

Students, IT professionals, engineers, data analysts, and career changers can all join AI courses in Nagpur. While programming knowledge helps, it’s not always mandatory for beginners.

Popular AI tools include TensorFlow, PyTorch, Keras, Scikit-learn, IBM Watson, OpenAI APIs, Microsoft Azure AI, and Google AI Platform. These tools are used to design, train, and deploy AI solutions efficiently.

Absolutely. AI courses in Nagpur are structured for both beginners and freshers. They start with basic concepts before progressing to advanced techniques, often including hands-on projects for practical exposure.

The best approach is to join a structured AI course covering both theoretical and practical aspects. Combining classroom learning with self-practice on platforms like Kaggle and GitHub can further boost your skills.

Common topics 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 & Ethics

Yes, coding especially in Python is strongly recommended. It is essential for developing, testing, and deploying AI models effectively.

Most AI courses require a graduate degree in computer science, engineering, mathematics, or related fields. However, many beginner-friendly AI programs in Nagpur are open to all graduates.

AI is reshaping industries by automating tasks, enhancing decision-making, and creating smart solutions. From chatbots to autonomous vehicles, AI is driving the future of technology.

An AI Engineer focuses on developing intelligent systems that mimic human behavior, while a Machine Learning Engineer specializes in building algorithms and models that help machines learn from data.

Yes. Many institutes in Nagpur offer flexible learning options, including weekend, evening, or online classes, making them ideal for working professionals.

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

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

Yes, many professionals transition into AI from IT, finance, marketing, and even non-tech backgrounds. With the right training and projects, a career shift into AI is possible.

AI can be complex because it involves programming, mathematics, and data science concepts. However, with structured learning and hands-on projects, it becomes manageable.

Yes, Python is the go-to language for AI, offering simplicity and access to powerful libraries like TensorFlow, Keras, and Scikit-learn.

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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN NAGPUR

Yes. DataMites Nagpur provides a free demo class so students can experience the teaching style, course content, and training quality before enrolling.

The AI course fee at DataMites Nagpur ranges from INR 40,000 to INR 1,50,000, depending on the course type and level. EMI facilities, discounts, and flexible payment options are available.

The AI course duration at DataMites Nagpur typically ranges from 3 to 9 months, depending on the program level (beginner, advanced, or expert) and learning mode (classroom, live online, or self-paced).

Yes. DataMites AI courses in Nagpur provide practical exposure through real-world datasets, projects, and case studies to ensure students are industry-ready.

Yes. Many AI programs at DataMites Nagpur come with internship opportunities to provide hands-on industry exposure and strengthen students’ portfolios.

Yes. DataMites offers installment and EMI payment options, making courses affordable and accessible.

DataMites maintains a clear refund policy. Students can request refunds within a specified time frame as per the enrollment terms and conditions.

Students receive a DataMites certification along with globally recognized credentials such as IABAC® upon successful completion.

Yes. DataMites offers classroom-based AI training at its Nagpur center in addition to online learning modes for remote learners.

You can begin your AI journey by enrolling in DataMites’ AI course in Nagpur. The process is simple—register online or visit the Nagpur center, select the program that fits your goals, and start learning with both theory and hands-on projects.

DataMites in Nagpur is a reputed institute, known for its industry-oriented curriculum, skilled mentors, practical training, globally recognized certifications, and comprehensive career support. Its flexible schedules and hands-on teaching methods make it suitable for learners and professionals from all backgrounds.

DataMites operates a center in Nagpur, Fifth Floor, Asterisk Co-working, Tirupati Enclave, 501, Baji Prabhu Deshpande Chowk, Gokulpeth, Nagpur, Maharashtra 440001.

The trainers at DataMites are seasoned industry professionals with extensive expertise in Artificial Intelligence, Data Science, and Machine Learning. They hold globally recognized certifications and bring hands-on experience from working on real-world AI projects, ensuring learners gain practical, industry-relevant knowledge.

Yes. Career services include resume preparation, mock interviews, and job referrals, helping students secure AI roles in Nagpur’s job market.

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

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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