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Artificial Intelligence Course Features

ARTIFICIAL INTELLIGENCE LEAD MENTORS

ARTIFICIAL INTELLIGENCE COURSE FEE IN PUNE

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 PUNE

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 PUNE

ARTIFICIAL INTELLIGENCE TRAINING REVIEWS

ABOUT ARTIFICIAL INTELLIGENCE TRAINING IN PUNE

This rapid expansion highlights the urgent demand for skilled professionals in the AI domain. Artificial Intelligence (AI) is transforming industries across the globe, and Pune is emerging as a hub for technology and innovation. Artificial Intelligence Course in Pune is designed to equip learners with the skills and knowledge needed to excel in AI, Machine Learning Course, and Data Science. Whether you are a student, a working professional, or someone looking to shift careers, this course provides the practical exposure and theoretical foundation required to succeed in the AI domain.

DataMites offers an industry-recognized Artificial Intelligence Engineer Course, accredited by IABAC and NASSCOM FutureSkills, ensuring global-standard training. Spanning 9 months, this comprehensive program is conducted at the DataMites offline center in Pune, combining face-to-face learning with hands-on experience. Designed for both aspiring professionals and students, the course features real-time projects, internships, and personalized training. With strong placement assistance, learners are empowered to build successful careers in the rapidly growing field of Artificial Intelligence Certification in Pune.

A recent study by PwC projects that Artificial Intelligence will add a staggering $15.7 trillion to the global economy by 2030, highlighting its profound impact across industries.Aligning with this technological shift, DataMites provides in-depth offline Artificial Intelligence Training in Pune, featuring practical internships and dedicated career support. This program is meticulously crafted to develop future-ready data science courses, well-prepared to excel in the ever-evolving world of AI.

Pune is rapidly emerging as a significant hub for artificial intelligence innovation in India. Known for its robust IT infrastructure, skilled talent pool, and academic excellence, the city is attracting both established companies and startups in the AI sector. Pune's AI landscape is expanding, with numerous companies specializing in AI, machine learning, and data analytics courses. These firms are developing solutions across various industries, including healthcare, finance, and manufacturing. The presence of multinational corporations and research centers further bolsters the city's position in the AI domain.

As reported by Fortune Business Insights, the global Artificial Intelligence market was estimated at USD 515.31 billion in 2023 and is projected to rise to USD 621.19 billion in 2024, eventually soaring to an incredible USD 2,740.46 billion by 2032. With an impressive compound annual growth rate (CAGR) of 20.4%, Artificial Intelligence Training is set to revolutionize industries worldwide. At the heart of this technological surge is Pune, a rapidly growing innovation hub that's attracting international tech leaders and accelerating the adoption of AI across sectors.

Why Choose an Artificial Intelligence Course in Pune?

Pune is fast emerging as a hub for technology and innovation, making it an ideal destination to pursue an Artificial Intelligence course. Here’s why:

  1. Artificial Intelligence Ecosystem: Pune hosts numerous startups and established companies specializing in AI, machine learning, and data analytics. This provides learners with ample opportunities for practical exposure and industry projects.
  2. Skilled Talent Pool: Pune boasts a highly skilled workforce and access to experienced mentors for advanced training in AI and related domains. The average salary for an Artificial Intelligence Engineer in Pune is around 8 LPA, (Glassdoor) reflecting the strong demand for AI professionals in the city.
  3. Industry-Academia Collaboration: Artificial Intelligence institutions in Pune collaborate with businesses and research centers to ensure AI courses are aligned with industry needs, giving students hands-on learning experience.
  4. Career Opportunities: The growing AI market in Pune has increased demand for skilled professionals, opening career paths as AI Developers, Machine Learning Engineers, Data Scientists, and NLP Specialists.
  5. Supportive Learning Environment: Artificial Intelligence institutes in Pune offer flexible learning options, including classroom and online courses, along with placement assistance, project work, and mentorship.

In-Demand AI Job Roles in Pune

Pune’s thriving tech ecosystem, with multiple engineering colleges, startups, and corporates, is rapidly expanding its AI workforce. Here's a look at prominent AI roles:

  1. AI / ML Engineer: Building and deploying machine learning models; working with data preprocessing, algorithm selection, model evaluation, and optimization.
  2. Data Scientist: Statistical analysis, feature engineering, exploratory data analysis, creating dashboards, visualizing data, sometimes AI model work.
  3. AI/NLP Engineer: Working on text / speech data, developing NLP pipelines, language models, chatbots, etc.
  4. Computer Vision: Working with image/video data, CNNs, object detection, segmentation, possibly video analytics.
  5. AI Research: More theoretical / advanced work; publishing papers; designing new algorithms; pushing state-of-the-art; often in specialized labs or startups with research wings.

Essential Skills for Key AI Job Roles in Pune

  1. Programming Languages: Programming is the backbone of Artificial Intelligence development. Languages like Python dominate the AI landscape due to their simplicity and extensive libraries (such as TensorFlow, PyTorch, Scikit-learn) that streamline AI model building.
  2. Mathematics & Statistics: A solid grasp of mathematics is essential for understanding how AI algorithms work under the hood.
  3. Machine Learning: Machine Learning (ML) is a core subset of AI focused on building systems that learn from data without explicit programming.
  4. Deep Learning: Deep Learning is a specialized branch of ML that uses artificial neural networks to model complex patterns in large datasets.
  5. Problem Solving & Analytical Thinking: AI professionals must approach challenges with strong analytical skills to break down complex problems into manageable parts. This involves selecting appropriate algorithms, preprocessing data effectively, and interpreting model results critically.

Why Choose DataMites for AI Training in Pune?

When it comes to choosing the best artificial intelligence institute in Pune, DataMites stands out as a trusted name for quality training, hands-on learning, and real-world preparation. Whether you're a beginner or a professional, here's why DataMites is the top choice for AI training in Pune:

  1. Internship Opportunities: Gain practical exposure through internship programs that help bridge the gap between theory and application. These internships add significant value to your portfolio.
  2. Placement Assistance: DataMites provides end-to-end placement support, including resume building, interview coaching, mock sessions, and connections with hiring partners across Pune's tech ecosystem.
  3. Real-Time Projects & Case Studies: Gain real-world experience through 10 live capstone projects and 1 client project. This hands-on approach effectively bridges the gap between academic learning and industry requirements.
  4. Globally Recognized Certifications: The Artificial Intelligence Engineer Certification in Pune by DataMites is accredited by IABAC and NASSCOM FutureSkills, ensuring compliance with international standards.
  5. Comprehensive Curriculum: The Artificial Intelligence course in Pune at DataMites covers Python Course, machine learning, deep learning, computer vision, and NLP, along with real-time projects and case studies.
  6. Flexible Learning Modes: DataMites offers offline AI courses in Pune with classroom training sessions, hands-on labs, and one-on-one mentoring.
  7. Industry-Expert Trainers: At DataMites, you learn from AI professionals who bring years of industry experience from leading tech firms. 

With 100,000+ learners trained and a proven track record, DataMites has become a go-to institute for artificial intelligence training in Pune. It’s more than just a course, it's a career transformation.

DataMites Offline Centers Across India

DataMites offers offline Artificial Intelligence courses across 20+ cities including the Artificial Intelligence Course in Pune and in major cities such as Bangalore, Hyderabad, Chennai, Coimbatore, Mumbai, Ahmedabad, Delhi, Kochi, Nagpur, Bhubaneswar, Indore, Jaipur, Kolkata, and Chandigarh. The Pune center provides in-person classes guided by expert mentors, enabling deeper interaction, personalized learning, and effective peer collaboration.

The DataMites offline Artificial Intelligence course is also offered in other key Maharashtra cities, including Mumbai and Nagpur, giving learners flexible options to pursue AI training within the state.

DataMites Offline Centers in Pune:

DataMites offers offline Artificial Intelligence training in Pune across two easily accessible locations: Kharadi and Baner, providing aspiring AI professionals with the convenience of attending classes close to their area.

Datamites Kharadi Center Address: Office Number 16, Second Floor, B Wing, City Vista, Downtown Road, Ashoka Nagar, Kharadi, Pune, Maharashtra 411014

Learners can conveniently pursue an Artificial Intelligence course in Kharadi from nearby key localities, including Viman Nagar (411014), Wagholi (412207), Hadapsar (411028), Lohegaon (411047), and Mundhwa (411036).

Datamites Baner Center Address: TRIOS Coworking Serviced Office Space 4th floor, Windsor Commerce, Baner Rd, near Hotel Wadeshwar, Baner, Pune, Maharashtra 411069

Learners can conveniently pursue an Artificial Intelligence course in Baner from nearby key localities, including Pashan (411021), Balewadi (411045), Aundh (411007), Hinjawadi (411057), Pimple Saudagar (411027).

DataMites Artificial Intelligence Curriculum

The Artificial Intelligence Engineer Training in Pune provides an all-in-one learning experience by combining the Artificial Intelligence Expert and Certified Data Scientist (CDS) programs. The curriculum covers key areas such as Python, data science fundamentals, machine learning, deep learning, big data basics, SQL, MongoDB, Git, and business intelligence, ensuring a strong foundation in both AI and data science.

Artificial Intelligence Course in Pune with Internships

DataMites offers Artificial Intelligence courses in Pune with internships that blend theoretical instruction with practical internship opportunities. These programs provide real-world exposure, helping learners strengthen their hands-on skills in AI and machine learning while preparing them for industry demands.

Artificial Intelligence Course in Pune with Placement Assistance

With dedicated placement assistance, DataMites Artificial Intelligence training in Pune with placement assistance helps learners move confidently from classroom to career. From resume support to interview preparation, the program ensures students are well-equipped for roles in the growing AI and machine learning landscape.

Pune is rapidly establishing itself as a premier hub for Artificial Intelligence, driven by a thriving tech ecosystem, skilled talent pool, and growing industry demand. Enrolling in an Artificial Intelligence course in Pune equips learners with the practical skills, hands-on experience, and industry exposure needed to thrive in AI, Machine Learning, and Data Science roles.

DataMites is a trusted training institute providing globally recognized certifications in Data Science, Machine Learning, Data Analyst Course, Data Engineer, Python, and Artificial Intelligence. The institute offers expert mentorship, hands-on projects, practical internships, and dedicated placement assistance. With convenient offline centers in Kharadi and Baner, flexible learning options, and a comprehensive curriculum, aspiring AI professionals in Pune can confidently pursue a successful career in this rapidly growing field.

DESCRIPTION OF ARTIFICIAL INTELLIGENCE COURSE IN PUNE

To pursue an Artificial Intelligence course, learners need a strong foundation in programming languages like Python and R, as these are widely used in AI development. A good understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is crucial to comprehend AI algorithms. Analytical thinking, problem-solving abilities, and logical reasoning are also important. Familiarity with data handling, data preprocessing, and visualization can give learners an additional edge.

The cost of an AI Engineer training course in Pune varies depending on the institute, course duration, and mode of training (online or offline). On average, comprehensive AI courses in Pune range between INR 1,00,000 to INR 2,00,000 for professional-level programs, including hands-on projects, internships, and placement assistance.

Pune is witnessing rapid growth in Artificial Intelligence adoption across industries such as IT, finance, healthcare, automotive, and education. With numerous startups and multinational corporations setting up AI labs, the city is emerging as a prominent AI hub in India. 

The average salary of an AI Engineer in Pune ranges from INR 6–12 LPA for freshers, depending on their skills and project experience. Experienced AI professionals with expertise in machine learning, deep learning, or NLP can earn upwards of INR 15–25 LPA, reflecting the high demand for skilled AI talent in the city.

The future of AI courses in Pune is promising, driven by rapid technology adoption, growing AI startups, and corporate investment in automation and smart solutions. As industries continue to embrace AI for business optimization, the demand for trained AI professionals will only increase, making AI education and certifications a lucrative career path.

Pune offers a wide scope for AI professionals, with opportunities across IT services, healthcare analytics, automotive AI, fintech solutions, and research labs. Job roles include AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, Computer Vision Specialist, and AI Researcher. The city’s thriving tech ecosystem ensures continuous career growth for AI experts.

Pursuing an AI course in Pune provides access to a growing tech hub with abundant industry connections, practical learning opportunities, and a strong support system. The city’s AI ecosystem, along with mentorship and internship programs, helps learners gain hands-on experience and prepares them for high-demand AI roles.

Anyone with a basic understanding of mathematics and programming can enroll in an AI training program in Pune. This includes students, graduates, working professionals, or career switchers from IT, engineering, or analytics backgrounds. Even individuals from non-technical domains can succeed with proper guidance and skill development.

The demand for AI courses in Pune is high due to the city’s growing AI ecosystem, increasing adoption of AI technologies in businesses, and a shortage of skilled professionals. Learners enrolling in these programs gain competitive skills, making them industry-ready for AI and machine learning roles.

After completing an AI course in Pune, learners can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, NLP Specialist, Computer Vision Engineer, AI Researcher, or AI Consultant. These roles span industries like IT services, finance, healthcare, manufacturing, and autonomous technologies.

AI courses typically cover Python programming, TensorFlow, PyTorch, Scikit-learn, Keras, Pandas, NumPy, Matplotlib, SQL, MongoDB, and Git. Students also learn about machine learning, deep learning, natural language processing, computer vision, and cloud-based AI tools to build real-world AI solutions.

Industries hiring AI professionals in Pune include IT services, healthcare, finance, automotive, education technology, e-commerce, and research & development. Companies leverage AI for automation, predictive analytics, chatbots, computer vision applications, and data-driven decision-making.

While prior coding knowledge is helpful, many AI courses in Pune are designed for beginners and provide foundational training in programming. Learners can start with basic Python and gradually move to advanced AI and machine learning concepts through hands-on exercises and projects.

Pune’s growth as an AI hub is fueled by its strong IT infrastructure, skilled workforce, academic excellence, startup ecosystem, and presence of multinational tech companies. The collaborative environment between academia and industry ensures continuous skill development and innovation in AI.

Artificial Intelligence improves efficiency, automates repetitive tasks, enhances decision-making, enables predictive analytics, and supports personalized solutions. It also drives innovation, reduces operational costs, and allows organizations to harness large volumes of data for actionable insights.

Machine Learning is a subset of Artificial Intelligence that enables systems to learn from data without explicit programming. While AI encompasses all intelligent behaviors exhibited by machines, ML focuses on developing algorithms and models that allow computers to make predictions and improve over time.

Computer vision, a branch of AI, allows machines to interpret and process visual information from the world. Applications include image and video recognition, object detection, facial recognition, autonomous vehicles, medical imaging analysis, and quality inspection in manufacturing.

AI significantly impacts healthcare, finance, education, transportation, manufacturing, retail, cybersecurity, and customer service. It enables predictive analytics, process automation, recommendation systems, natural language understanding, and intelligent decision-making across sectors.

Generative AI refers to AI models that create new content, such as text, images, audio, or videos, based on input data. Industries use Generative AI for content creation, marketing, design, entertainment, drug discovery, and simulation-based training, driving efficiency and innovation.

Python is the most widely used programming language for Artificial Intelligence due to its simplicity, extensive libraries, and strong community support. R, Java, C++, and Julia are also used in specific AI applications, but Python remains the preferred choice for beginners and professionals alike.

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.

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FAQ’S OF ARTIFICIAL INTELLIGENCE TRAINING IN PUNE

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

DataMites is a global institute that offers comprehensive courses in Artificial Intelligence. The syllabus is designed in tune with the current industry trends and helps to cater to the needs of fresh AI aspirants and experienced professionals. The Artificial Intelligence course offered by DataMites is unique in the following ways.

DataMites offers an Artificial Intelligence course in Pune 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/-.

DataMites in Pune offers certifications in collaboration with IABAC(International Association for Business Analytics Certifications). IABAC is a global body, which offers certifications in Business Analytics and Data Science. IABAC is founded on the principles of the EDISON Data Science Framework (EDSF). DataMites provides a range of certifications in Data Science, Machine Learning, Artificial Intelligence. All the data science certifications offered by DataMites are structured based on industry trends.

DataMites provides online training sessions for the Artificial Intelligence course in Pune. However, classroom mode of training can be made available if there is adequate demand for the same.

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 Pune 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 provided by DataMites in Pune is 6 months with 120 hrs of live online training conducted by industry experts.

Artificial Intelligence is a vast subject for study, it is a mix of Statistics and Computer Science. DataMites in Pune offers quality training sessions in Artificial Intelligence, Machine Learning, etc. The Artificial Intelligence courses provided by DataMites in Pune 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 Pune 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 Pune 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 Pune includes 10 capstone projects and 1 client project.

The mode of training offered by DataMites in Pune is primarily online. However, classroom training can be made available in Pune,  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 Pune 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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