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Internship in Artificial Intelligence & Data Science

Build powerful data science and artificial intelligence skills using modern tools and real-world data technologies.

Develop practical skills in artificial intelligence, data science, and data analytics through hands-on training and real-world tools. Gain the confidence to analyze data, build intelligent systems, and pursue successful careers in the rapidly growing AI and technology industry.

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Price - ₹999

Duration :- 120 Hrs

Gain insight into a topic and learn the fundamentals.

Internship Certificate

Get a recognized Internship Certificate showcasing your practical skills & industry readiness.

Placement Assistance

Get dedicated placement support, interview preparation, resume building, & access to job opportunities.

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Overview of Course

The Internship in Artificial Intelligence & Data Science is designed to introduce learners to the concepts of data analysis, machine intelligence, and modern data technologies used in today’s digital economy. This program focuses on building strong analytical and technical skills required to understand, process, and interpret data for real-world applications.

Through modules such as Artificial Intelligence & Data Science, Python Core, Python Advance, Big Data Analytics (Hadoop), Cloud Computing, Internet of Things (IoT), Advance Excel, and Business Data Analytics (Power BI), students gain practical exposure to data processing, programming, and data visualization tools. Participants learn how data is collected, analyzed, and transformed into meaningful insights that help organizations make informed decisions.

The internship emphasizes hands-on learning and real-world data applications, enabling learners to understand the role of artificial intelligence and data science in solving modern business and technology challenges. By combining programming knowledge with analytical tools, this program prepares participants for opportunities in data analytics, AI technologies, business intelligence, and the growing field of data-driven industries.

Training Content

Digital Marketing

  • Artificial Intelligence Overview

  • Introduction

  • Definition & Characteristic of AI?

  • Components & Problems of AI

  • Applications of AI

  • Programming with and without AI

  • Types of AI | Technology landscape

  • Definition And Role of Cognitive Science

  • Machine Learning And its Type

  • Advantages & Example of Machine Learning | Technology Leaders

  • Neural Networks & its Applications

  • Deep Learning & its Applications

  • Natural Language Processing

  • Difference Between AI & Algorithm

  • Brief About Agents Goals & Features

  • Problem Addressed By AI

  • Types of Problem Solving Search Algorithm

  • Other Important Algorithms

  • Adversarial Search | Knowledge Representation & Types

  • Common Machine Learning Algorithm

  • Programming Language

  • Advancement in ANN

  • Understanding Biological Neuron Model | Artificial Neuron Model

  • Artificial Neural Networks & Architectures

  • Learning And Their Types | Backpropagation Algorithm

  • Application | Advantages | Conclusion

  • Brief about Machine learning

  • Machine Learning Paradigms

  • Machine Learning Workflow

  • Brief About Deep Learning

  • Brief Application of Natural Language Processing
  • How To Download Python
  • Why Python | Basic Concepts of coding
  • Python strings with examples
  • Indexing in Python
  • Python Tuples
  • Python Lists
  • Python Dictionaries
  • Different Operators in Python
  • Loops in Python
  • Working with NumPy Arrays
  • Creating Matrices with Array Operation
  • Pandas Library & Data Frame
  • Practical Knowledge
  • Immutable & Mutable Data Type
  • Deep Learning with PyTorch
  • Comparison of PyTorch with NumPy
  • Learn how to Create PyTorch Tensor
  • Basics of PyTorch
  • Machine Learning Vs Deep Learning
  • How Deep Learning works
  • Forward Propagation in Neutral Network
  • Forward Propagation Example
  • Backward Propagation
  • Fully Connected Neural Networks
  • Activation Function
  • A Practical Knowledge of Activation Function
  • Neural Networks
  • Softmax | Loss Function
  • Preparing Dataset in Python
  • Training a Neural Network
  • Convolutional Neural Networks
  • Pooling Layer
  • Training Convolutional Neural Network
  • How to use Sequential Module
  • Overfitting | Validation sets in PyTorch
  • How overfitting can be prevented & Why PyTorch
  • Introduction to Digital Marketing Manager
  • Develop a Digital Marketing Strategies
  • Plan and Conduct Digital Marketing Campaign Part (1)
  • Plan and Conduct Digital Marketing Campaign Part (2)
  • Plan and Conduct Digital Marketing Campaign Part (3)

Optimize campaigns Performance and Expenditure

  • Measure and report performance of digital marketing campaign Part (1)
  • Measure and report performance of digital marketing campaign Part (2)
  • Digital Marketing Manager
  • Study material on social media marketing
Python Core

  • Introduction to python

  • variable in python

  • Data types in python

  • Operators in python

  • Operators Precedence

  • Conditional statements

  • Making your own calculator

  • Restaurant bill generator game

  • Rock paper scissor game

  • Dictionaries in python

  • Creating contact book

  • Set data type

  • KBC quiz game

  • Function In Python

Python

Python Advance

  • Python Libraries

  • Python OOPS Concepts

  • Budget App

  • Packages

  • File Handling part 1

  • File Handling Part 2

  • File Handling Part 3

  • File Handling Part 4

  • Python Matplotlib part 1

  • Python Matplotlib part 2

  • Error and Exceptional handling

  • SQL Part 1

  • SQL Part 2

  • Major project Part 1

  • Major Project Part 2

  • Telephone Billing System

Big Data Analytics (Hadoop)

  • Introduction and outline of big data analytics

  • What is big data analytics in brief

  • Need and uses of big data analytics

  • Big data technologies, limitation, problem & solution

  • Hadoop Definition

  • Rack Awareness

  • Metadata, backup & federation

  • Write & Read Anatomy

  • Core component & processing

  • Anatomy of map reduce program

  • Hadoop Pig

  • Hive

  • Bigdata use cases data flow swoop, flume

  • Benefits, barriers & data locality principle

  • Hadoop live demo

Cloud Computing

    • What You will Learn in This Course

    • Current Scenario & Scenario

    • Concepts & Working of Virtualization

    • Types of Cloud

    • History of Cloud

    • Pros & Cons of Cloud Computing

    • Purpose & Usage

    • Role of CRM

    • Enhance Growth with right Business Model

    • Top Indian Startups in Cloud Computing Field

    • FAQ’s in cloud Computing Industry

    • Technical Aspect of Cloud

    • Industry Partner For Cloud Services

    • Advantages of Big Data

    • Invitation and Advance learning

    • Business Idea for Cloud Computing

    • Business Plan Template

    • Cloud Hosting Template

    • How to Start Storage & Hosting Business

    • How to Start Storage & Hosting Business ? Part – 2

    • Case study

 

 

 Cloud Computing

Internet of Things (IOT)

  • Introduction to IOT

  • History of IOT

  • Characteristics of IOT

  • Requirements for IOT

  • Applications of IOT in Different Fields

  • Real Case Scenario

  • Technologies Used in IOT

  • Enabling of IOT Technologies

  • Challenges of IOT

  • Future of IOT

  • Different IOT based product

  • Sensors

  • Connectivity

  • Connectivity Zigbee

  • Wireless Personal Area Network

  • Data Aggregration

  • 5 Different Energy

  • Different Application

  • Processing Data

  • Sensing As A Service

Internet of Things

Advance Excel

  • Introduction

  • Basic Function Of MS Excel

  • Various Function In Excel Part-1

  • Various Function In Excel Part-2

  • Logical Functions

  • IF And Function

  • Text Function & Formula Auditing Tools Part – 1

  • Text Function & Formula Auditing Tools Part – 2

  • Date Function Part-1

  • Date Function Part-2

  • Name Range V-lookup Advance Filtering Part-1

  • Name Range V-lookup Advance Filtering Part-2

  • H-Lookup

  • Conditional Formatting

  • Pivot Table Part-1

  • Pivot Table Part-2

  • Interactive Dashboard Part-1

  • Interactive Dashboard Part-2

  • Data Validation | Index Function

  • What If Analysis

Excel Advanced

Business Data Analytics (Power BI)

  • KEY TAKEAWAYS

  • KEY TAKEAWAYS

  • KEY TAKEAWAYS

  • Data Analytics Key Terms and Tools

  • Data Analytics Using POWER BI

  • Practical Session

  • Practical Session

  • Practical Session

  • Practical Session

Personality Development
  • Introduction about Personality Development
  • Self Awareness -Part 1
  • Self Awareness -Part 2
  • Personality Character Traits
  • Personality Behaviour Traits
  • Personality Attitudinal Change
  • Different Character Traits
  • Types of Personalities
  • Life Skills
  • Decision Making
  • Critical Thinking & Creative Thinking
  • Problem Solving & Interpersonal Relationship Skills
  • Empathy & Effective Communication
  • Managing Feelings & Emotions
  • Behaviour Changes Through life Skills
  • Learn to Say No
  • Emotional Intelligence
  • Emotional Intelligence Framework

Professional Business Project Documentation

A detailed and professionally structured project report will be provided to learners covering real business concepts, market analysis, financial planning, costing, compliance requirements, and growth strategies. The report is designed to give practical insight into how a complete business plan is developed and documented. It helps students understand real-world business structure, financial statements, and proper presentation standards.

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