FREE-iNTERNSHIP TRAINING

Free-Internship Training Program by ISM UNIV

“Embedded System Development with ARDUINO UNO” – 45 Hours

📘 Program Description

This internship program provides hands-on training in developing embedded systems using the Arduino Uno microcontroller platform.
Students will learn the fundamentals of embedded systems, electronics, sensors, actuators, programming with Arduino IDE, interfacing modules, and real-time project development.

The program is designed with a practical, project-based approach, enabling participants to design, build, test, and deploy embedded applications.
By the end of the internship, students will create working hardware projects that can be showcased in their portfolio.

🎯 Learning Outcomes

Participants will be able to:

✓ Understand embedded systems architecture
✓ Program Arduino Uno using C/C++
✓ Interface sensors, actuators & external modules
✓ Work with digital & analog I/O
✓ Implement communication protocols (UART, I2C, SPI)
✓ Build real-world embedded projects
✓ Debug hardware and firmware problems
✓ Design and present a complete embedded project

⏱️ Duration: 45 Hours

📚 Detailed 45-Hour Training Content

MODULE 1: Introduction to Embedded Systems & Arduino (5 Hours)

1. Introduction to Embedded Systems (2 hrs)

• What is an embedded system?
• Architecture & components
• Microcontroller vs Microprocessor
• Real-time systems
• Applications in different industries

2. Introduction to Arduino Uno (3 hrs)

• Arduino board overview
• ATmega328P microcontroller architecture
• Pin configuration & functions
• Power supply requirements
• Installing Arduino IDE
• Basics of C programming for Arduino

MODULE 2: Arduino Programming Essentials (8 Hours)

1. Arduino IDE & Basic Programming (3 hrs)

• Structure of Arduino code (setup & loop)
• Data types, variables, operators
• Conditions & loops
• Functions, arrays
• Digital write/read
• Serial monitor basics

2. Working with Digital I/O (2 hrs)

• LED interfacing
• Push button & debounce
• Buzzer interfacing
• Practical exercises

3. Working with Analog I/O (3 hrs)

• ADC basics
• Reading analog sensors
• Potentiometer input
• PWM output
• Controlling LED brightness
• Servo motor basics

MODULE 3: Interfacing Sensors & Actuators (10 Hours)

1. Sensor Interfacing (5 hrs)

• Temperature sensor (LM35 / DHT11)
• IR sensor, LDR sensor
• Ultrasonic sensor
• Gas sensor (MQ series)
• Motion sensor (PIR)
• Hands-on testing & calibration

2. Actuator Interfacing (3 hrs)

• DC motor control
• Relay module
• LCD 16×2 display interface
• Stepper motor basics

3. Working with Communication Modules (2 hrs)

• Bluetooth Module (HC-05)
• WiFi Module Basics (ESP01) – Optional
• Sending/receiving commands through serial

MODULE 4: Communication Protocols & Advanced Concepts (7 Hours)

1. Communication Protocols (3 hrs)

• UART communication
• I2C protocol
• SPI protocol
• Interfacing I2C LCD
• Data logging basics

2. Timers & Interrupts (2 hrs)

• Hardware timers overview
• Interrupt service routines (ISRs)
• External hardware interrupts
• Real-time responsiveness

3. Power Management & Circuit Design (2 hrs)

• Voltage regulation
• Breadboard vs PCB
• Basics of circuit design
• Safety precautions

MODULE 5: Building Embedded Projects (10 Hours)

Students will apply the knowledge to develop complete working projects.

Sample Projects:

Students choose any one or trainer assigns based on level.

⭐ Beginner-Level

• Digital Thermometer
• Automatic Street Light Control
• IR-based Object Counter
• Clap Switch
• Distance measurement system
• Digital Dice Game

⭐ Intermediate-Level

• Smart Home Automation System
• Bluetooth Controlled Robot
• Obstacle Avoiding Robot
• Temperature & Humidity Monitoring System
• Smart Irrigation System
• RFID Door Lock System

⭐ Advanced-Level (Optional)

• IoT-based Data Monitoring
• Voice-Controlled Automation
• Mini Weather Station
• Solar Tracker System

Project Deliverables:

• Project circuit diagram
• Code documentation
• Hardware assembly
• Testing & debugging
• Final project demonstration & presentation

📄 Deliverables Provided to Students

✔ Internship Certificate
✔ Project Source Code
✔ Project Report (PDF)
✔ Hardware circuit diagrams & notes
✔ Resume-ready project content
✔ Lifetime access to training materials

Free-Internship Training Program by ISM UNIV

“Developing an AI Model using PYTHON” – 45 Hours

📌 Program Description

This internship program is designed to equip students with practical, hands-on experience in developing Artificial Intelligence (AI) models using Python.
Participants will learn the fundamentals of Python programming, essential AI and machine learning concepts, data preprocessing techniques, model building, training, evaluation, optimization, and deployment.

The training follows a project-based learning approach, where students work on real-world datasets and develop a complete AI model end-to-end.
By the end of the internship, students will have built a deployable AI model and gained skills required for entry-level roles in AI, Machine Learning, Data Science, and Automation.

🎯 Learning Outcomes

After completing this internship, participants will be able to:

✅ Understand Python essentials for AI development
✅ Work with data using NumPy, Pandas, and Matplotlib
✅ Apply Machine Learning concepts to solve real-world problems
✅ Build supervised and unsupervised ML models
✅ Train, evaluate, optimize, and tune AI models
✅ Implement model deployment using Flask / Streamlit
✅ Understand AI ethics, model biases & real project workflows
✅ Build and submit a complete AI project portfolio

⏱️ Duration: 45 Hours

Below is the recommended hour-wise structured curriculum.

📚 Detailed 45-Hour Course Content

MODULE 1: Python Essentials for AI (8 Hours)

1. Introduction to AI & ML (1 hr)

• What is AI, ML, DL?
• Real-world AI use cases
• Types of ML: Supervised, Unsupervised, Reinforcement

2. Python Basics Refresher (2 hrs)

• Variables, operators, conditions, loops
• Functions, modules, packages
• Working with files

3. Python for Data Handling (2 hrs)

• NumPy: arrays, operations, broadcasting
• Pandas: Series, DataFrames, data cleaning, manipulation

4. Data Visualization (3 hrs)

• Matplotlib & Seaborn basics
• Graphs: line, bar, histogram, scatter, heatmap
• Visualizing correlations and distributions

MODULE 2: Machine Learning Foundations (10 Hours)

1. Understanding ML Workflow (1 hr)

• Loading data
• Splitting datasets
• Training, testing, validation

2. Supervised Learning Algorithms (5 hrs)

• Linear Regression
• Logistic Regression
• Decision Trees & Random Forest
• Support Vector Machines
• Evaluation metrics: accuracy, precision, recall, F1-score

3. Unsupervised Learning Algorithms (3 hrs)

• Clustering (K-means, Hierarchical)
• Dimensionality Reduction (PCA)

4. Feature Engineering (1 hr)

• Encoding, normalization, scaling
• Handling missing values
• Feature selection & extraction

MODULE 3: Building the AI Model (12 Hours)

1. Project Data Collection & Understanding (2 hrs)

• Dataset selection
• Problem formulation
• Exploratory Data Analysis (EDA)

2. Model Development (4 hrs)

• Selecting algorithm
• Training the model
• Hyperparameter tuning (GridSearchCV / RandomizedSearchCV)

3. Model Evaluation (3 hrs)

• Confusion matrix
• ROC curve & AUC
• Cross-validation techniques

4. Model Optimization (3 hrs)

• Bias-variance tradeoff
• Overfitting vs underfitting
• Regularization techniques

MODULE 4: AI Model Deployment (8 Hours)

1. Introduction to Deployment (1 hr)

• Importance of deployment
• Local vs cloud deployment

2. Deploying with Flask (3 hrs)

• Creating Flask API
• Sending model predictions via API
• Testing with Postman

OR
Deploying with Streamlit (3 hrs)

• Building an interactive dashboard
• Input forms, prediction display
• Hosting options (Streamlit Cloud)

3. Saving and Loading Models (1 hr)

• Pickle
• Joblib

4. End-to-End Integration (3 hrs)

• Integrating model with UI
• Creating a final working application

MODULE 5: Internship Project (7 Hours)

Students will work on one real AI project such as:

Project Options (Choose Any):

• House Price Prediction
• Customer Churn Prediction
• Loan Eligibility Prediction
• Diabetes Detection Model
• Spam Email Classifier
• Movie Recommendation System
• Sales Forecasting Model
• Image Classification (basic CNN using TensorFlow – optional)

Project Deliverables:

• Problem definition
• Dataset preprocessing
• Model building and tuning
• Evaluation report
• Deployment (Flask/Streamlit app)
• Final project presentation

📄 Deliverables Provided to Students

✔ Internship Certificate
✔ AI Project Source Code
✔ Project Report (PDF)
✔ Resume Projects (1–2)
✔ Training Materials & Notes
✔ Lifetime Access to Model Notebook

Free-Internship Training Program by ISM UNIV

“Data Analytics using Power BI” – 45 Hours

📘Program Description

This internship program provides hands-on training in Data Analytics using Microsoft Power BI, one of the most in-demand business intelligence tools used by organizations worldwide.
Participants will learn how to connect, clean, transform, analyze, and visualize data to deliver actionable business insights.

The internship follows a practical, project-driven approach, where students work with real datasets to build interactive dashboards, data models, and analytical reports.
By the end of the program, learners will be able to develop end-to-end BI solutions suitable for professional roles such as Business Analyst, Data Analyst, BI Developer, and Reporting Analyst.

🎯 Learning Outcomes

After completing this internship, participants will be able to:

✓ Understand core concepts of data analytics & BI
✓ Perform data cleaning, transformation & modeling using Power Query
✓ Create interactive dashboards with advanced visualizations
✓ Write DAX calculations for measures & KPIs
✓ Build relationships and optimize data models
✓ Publish, share, and manage reports in Power BI Service
✓ Apply analytics to solve real industry problems
✓ Build and present a real-world data analytics project

⏱ Duration: 45 Hours

📚 Detailed 45-Hour Training Content

MODULE 1: Foundations of Data Analytics & Power BI (5 Hours)

1. Introduction to Data Analytics (1 hr)

• Types of analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
• Role of a Data Analyst
• BI ecosystem & tools

2. Getting Started with Power BI (2 hrs)

• Power BI Desktop vs Power BI Service
• Interface overview
• Connecting different data sources

3. Understanding Business Reporting (2 hrs)

• What makes a good dashboard?
• KPI concepts
• Dashboard design principles

MODULE 2: Power Query – Data Cleaning & Transformation (10 Hours)

1. Introduction to Power Query (3 hrs)

• ETL Concepts
• Query Editor Interface
• Importing large datasets

2. Data Cleaning Techniques (4 hrs)

• Removing duplicates & errors
• Handling missing values
• Column splitting, merging
• Data type conversions
• Filtering, sorting, grouping

3. Data Transformation (3 hrs)

• Pivot & unpivot
• Conditional columns
• Derived columns
• Appending & merging queries

MODULE 3: Data Modeling & DAX (10 Hours)

1. Data Modeling Concepts (3 hrs)

• Star & Snowflake schema
• Fact & Dimension tables
• Creating relationships
• Cardinality & cross-filtering

2. DAX Fundamentals (4 hrs)

• Calculated columns vs Measures
• Basic DAX functions: SUM, COUNT, CALCULATE
• Time intelligence functions

3. Advanced DAX (3 hrs)

• Variables in DAX
• Filtering functions (FILTER, ALL)
• Evaluation context
• KPI creation

MODULE 4: Data Visualization & Dashboard Design (10 Hours)

1. Power BI Visuals (4 hrs)

• Bar, line, pie charts
• Cards, tables, matrices
• Maps & geospatial visuals
• Tree map, funnel, scatter plot

2. Advanced Visualizations (3 hrs)

• Custom visuals
• Bookmarks & storytelling
• Tooltips & drill-through
• Slicers & filters

3. Dashboard Best Practices (3 hrs)

• Choosing the right chart
• Layout & design rules
• Color themes
• User navigation techniques

MODULE 5: Power BI Service & Deployment (5 Hours)

1. Publishing Reports (2 hrs)

• Uploading reports to Power BI Service
• Datasets, Workspaces, Apps
• Data refresh schedules

2. Sharing & Collaboration (2 hrs)

• Sharing dashboards
• Managing permissions
• Exporting reports

3. Mobile Layout (1 hr)

• Designing mobile-friendly dashboards
• Testing on Power BI Mobile

MODULE 6: Internship Project (5 Hours)

Students will build a complete analytical dashboard using real-world data.

Sample Project Options:

• Sales Analytics Dashboard
• HR Attrition Dashboard
• Financial Performance Dashboard
• Retail Store Performance Dashboard
• Student Performance Analytics
• Hospital/Healthcare Analytics
• Supply Chain Dashboard
• Marketing Campaign Performance Dashboard

Project Deliverables:

• Power Query cleaning & transformation
• Data modeling
• DAX calculations
• Interactive dashboard
• Project documentation & presentation

📄 Deliverables Provided to Students

✔ Internship Certificate
✔ Project Power BI File (.pbix)
✔ Dashboard Screenshots for Resume
✔ Project Report (PDF)
✔ Notes & Dataset
✔ Resume-ready Data Analytics Project

Free-Internship Training Program by ISM UNIV

“Full Stack Development” – 45 Hours

📘 Program Description

This internship program is designed to provide students with hands-on experience in developing full-stack web applications.
Participants will learn both front-end and back-end development, including HTML, CSS, JavaScript, modern frameworks, database integration, APIs, and deployment.

The program follows a project-based learning approach, enabling students to build real-world, end-to-end applications.
By the end of the internship, students will be able to design, develop, and deploy scalable full-stack applications using industry-relevant tools.

🎯 Learning Outcomes

Participants will be able to:

✓ Build responsive, interactive front-end interfaces
✓ Develop back-end services using Node.js / Express
✓ Work with relational or NoSQL databases
✓ Create REST APIs and connect front-end with back-end
✓ Use Git & GitHub for version control
✓ Deploy applications on cloud platforms
✓ Build and present a complete full-stack project

⏱ Duration: 45 Hours

📚 Detailed 45-Hour Training Content

MODULE 1: Web Development Fundamentals (6 Hours)

1. Introduction to Full Stack Development (1 hr)

• What is full stack?
• Front-end vs back-end
• Client-server architecture
• Web application workflow

2. Front-End Basics (5 hrs)

HTML5

• Structure, tags, forms, semantic elements

CSS3

• Styling, box model, flexbox, grid
• Responsive design concepts

JavaScript Fundamentals

• Variables, functions
• DOM manipulation
• Basic events

MODULE 2: Front-End Development (10 Hours)

1. Modern JavaScript (3 hrs)

• ES6 features
• Arrow functions, promises
• Fetch API & async programming

2. React.js Essentials (7 hrs)

• Introduction to React & component model
• JSX, props, state
• Functional components & hooks
• Routing with React Router
• Handling forms & API calls
• Building UI modules
• Simple front-end mini-project

MODULE 3: Back-End Development (10 Hours)

1. Node.js Fundamentals (3 hrs)

• What is Node.js
• NPM & package management
• Modules & file handling

2. Express.js Framework (4 hrs)

• Creating server
• Routing
• Middleware
• Handling requests & responses
• Error handling

3. REST API Development (3 hrs)

• Designing API endpoints
• Connecting with front-end
• Postman testing
• JSON handling

MODULE 4: Database Integration (6 Hours)

1. SQL or NoSQL Overview (1 hr)

• Types of databases
• When to use SQL vs NoSQL

2. MongoDB (3 hrs)

• Collections, documents
• CRUD operations
• Connecting Node.js with MongoDB
• Mongoose basics

3. Relational Database (Optional – 2 hrs)

• MySQL basic commands
• Table creation & queries
• Connecting Node.js with MySQL

MODULE 5: Full Stack Integration + Deployment (6 Hours)

1. Connecting Front-end and Back-end (2 hrs)

• API consumption in React
• Sending & receiving JSON
• Connecting forms to back-end

2. Authentication & Security (2 hrs)

• JWT Authentication
• Password hashing
• Securing API routes

3. Deployment (2 hrs)

• Deploying on Render / Netlify / Vercel
• Front-end deployment
• Back-end deployment
• Environment variables

MODULE 6: Internship Project (7 Hours)

Students will build a complete, working Full Stack Application.

Sample Project Ideas:

• Student Management System
• E-commerce Mini App
• Task Management / To-do App
• Job Portal Mini Project
• Blog Application
• Food Ordering App
• Notes App with Authentication
• Contact Manager with Database

Project Deliverables:

• UI/UX design
• Front-end React app
• Back-end API
• Database schema
• Integration & testing
• Deployment link
• Project presentation

📄 Deliverables Provided to Students

✔ Internship Certificate
✔ Project Source Code
✔ Live Deployed Project Link
✔ Project Report (PDF)
✔ All Training Materials
✔ Resume-ready project

Free-Internship Training Program by ISM UNIV

“Cyber Security” – 45 Hours

📘 Program Description

This internship training program is designed to introduce participants to the core concepts of Cyber Security, ethical hacking, network security, system vulnerabilities, and defensive techniques.
The course follows a hands-on, practical approach where students learn how attacks happen and how organizations protect their systems, networks, and applications.

This program prepares students for career paths in cybersecurity, such as Security Analyst, SOC Engineer, Penetration Tester, and Network Security Engineer.

🎯 Learning Outcomes

After completing the internship, students will be able to:

✓ Understand cyber security fundamentals & terminologies
✓ Analyze cyber threats, malware, and attack vectors
✓ Perform basic ethical hacking & penetration testing
✓ Secure networks, systems, and web applications
✓ Work with Kali Linux and common hacking tools
✓ Identify vulnerabilities using scanning & enumeration tools
✓ Apply defensive security and incident response techniques
✓ Document and present a Cyber Security project

⏱ Duration: 45 Hours

📚 Detailed 45-Hour Training Content

MODULE 1: Cyber Security Fundamentals (6 Hours)

1. Introduction to Cyber Security (2 hrs)

• What is Cyber Security?
• CIA triad (Confidentiality, Integrity, Availability)
• Cyber threats & attack types
• Cybersecurity domains & career paths

2. Cyber Laws & Ethical Hacking Basics (2 hrs)

• Ethical hacking phases
• Legal considerations
• Hacker types (White/Black/Grey hat)
• Cybercrime examples

3. Setting Up the Cyber Lab (2 hrs)

• Installing VirtualBox/VMware
• Kali Linux basics
• Windows/Linux targets
• Network setup for testing

MODULE 2: Networking & System Security (8 Hours)

1. Network Security Essentials (3 hrs)

• IP addressing, ports, protocols
• Firewalls, IDS, IPS
• Common network attacks (MITM, sniffing, spoofing)
• Packet analysis using Wireshark

2. System Security (3 hrs)

• Windows security features
• Linux security basics
• Password & user management
• Log analysis

3. Secure Configuration (2 hrs)

• Hardening operating systems
• Patch management
• Secure configuration baselines

MODULE 3: Web Application Security & Vulnerability Testing (10 Hours)

1. OWASP Top 10 Overview (3 hrs)

• SQL Injection
• Cross-site Scripting (XSS)
• CSRF
• Broken Authentication
• Security Misconfiguration
• Sensitive Data Exposure

2. Web Testing Tools (4 hrs)

• Burp Suite basics
• Nikto web scanner
• SQLmap
• DVWA hands-on practice

3. Vulnerability Assessment (3 hrs)

• Vulnerability scanning
• Nmap basics
• Exploit search & testing
• Reporting vulnerabilities

MODULE 4: Penetration Testing & Ethical Hacking (10 Hours)

1. Kali Linux Tools (4 hrs)

• Enumeration tools
• Password cracking (John the Ripper, Hydra)
• Wireless hacking basics
• Social engineering overview

2. Penetration Testing Methodology (3 hrs)

• Reconnaissance
• Scanning
• Exploitation
• Privilege escalation
• Maintaining access

3. Exploitation Frameworks (3 hrs)

• Metasploit Framework
• Exploiting vulnerabilities
• Post-exploitation techniques
• Logs & covering tracks (ethical restrictions applied)

MODULE 5: Defensive Security & Incident Response (6 Hours)

1. SOC & SIEM Basics (2 hrs)

• Security Operations Center roles
• SIEM tools overview
• Log monitoring concepts

2. Threat Detection & Prevention (2 hrs)

• Malware detection
• Antivirus/EDR usage
• Network threat monitoring

3. Incident Response (2 hrs)

• Phases of incident response
• Handling breaches
• Forensics basics
• Reporting & documentation

MODULE 6: Internship Project (5 Hours)

Students will complete one real-world cybersecurity project.

Sample Project Options:

• Vulnerability Assessment of a Demo Website
• Web Application Penetration Test (DVWA or Juice Shop)
• Network Traffic Analysis using Wireshark
• Password Strength Audit & Cracking Demonstration
• Malware Behavioral Analysis (safe simulation)
• Secure Network Design Project
• SOC Log Monitoring Case Study

Project Deliverables:

• Problem definition
• Tools & methodology used
• Screenshots of tests
• Vulnerability documentation
• Final report & presentation

📄 Deliverables Provided to Students

✔ Internship Certificate
✔ Cyber Security Project Report (PDF)
✔ Tools & Lab Setup Guide
✔ All Course Notes & PPTs
✔ Resume-ready cybersecurity project
✔ Hands-on practice tasks & assignments