Internship for CSE Students

Internship for CSE students in Chennai

Are you a Computer Science Engineering (CSE) student looking to gain hands-on experience, master cutting-edge technologies, and boost your career prospects? At Kaashiv Infotech, we offer a free internship in Chennai for CSE students, designed to bridge the gap between academic learning and industry demands.

5 Days – 6 Months

Duration

Online | Offline

Mode of Training

20000+

Students Trained

Why Choose Kaashiv Infotech for Your CSE Internship?

Our internship program stands out by offering a holistic learning experience that combines technical expertise, soft skills development, and placement support. Here’s why Kaashiv Infotech is the top choice for CSE students:

Hands-On Training in Latest Technologies

Mentorship by MNC Professionals

Multiple Certificates

Free Internship

ISO 9001:2015 Certified

Placement Support

Flexible Durations:

Syllabus for Internship for CSE Students

5 Days Internship for CSE Students in Chennai


10 Days Internship for CSE Students in Chennai

Day 1: Programming Fundamentals

• Introduction to Programming Concepts: Variables, data types, operators, control structures.
• Basic Problem-solving and Coding Techniques.

Day 2: Data Structures and Algorithms

• Core Data Structures: Arrays, linked lists, stacks, queues.
• Algorithm Basics: Searching, sorting, and complexity analysis.

Day 3: Web Development Fundamentals

• Frontend Web Development: Basics of HTML, CSS, and JavaScript.
• Introduction to Web Design and Responsive Layouts.

Day 4: Database Management Systems (DBMS)

• Introduction to Databases: Concepts, tables, keys, normalization.
• Basics of SQL: Queries, CRUD operations, joins.

Day 5: Project Work and Presentation

• Project Development: Developing an application or website.
• Project Demonstration and Feedback Session.

Day 1: Introduction to Programming Concepts

• Basic Programming Fundamentals: Variables, data types, operators, and control structures (if, else, loops).
• Problem-solving Techniques: Writing algorithms and pseudocode.
• Functions and Recursion: Understanding functions and implementing recursion.
• Debugging and Error Handling: Techniques for troubleshooting code errors.

Day 2: Data Structures and Algorithms

• Core Data Structures: Arrays, linked lists, stacks, and queues.
• Advanced Data Structures: Trees (binary, AVL), graphs, and hash maps.
• Algorithm Design: Searching (linear, binary) and sorting (bubble, quick, merge).
• Time and Space Complexity: Understanding Big O notation for performance analysis.

Day 3: Web Development Fundamentals (Frontend)

• HTML: Structure of web pages, tags, attributes, and elements.
• CSS: Styling web pages, positioning, and responsive design.
• JavaScript: Basic scripting for dynamic web content (functions, events, DOM manipulation).
• Introduction to Frontend Frameworks: Overview of libraries like Bootstrap and jQuery.

Day 4: Web Development Fundamentals (Backend)

• Introduction to Server-Side Programming: Building backend applications with basic frameworks.
• APIs and RESTful Services: Creating and consuming APIs (GET, POST, PUT, DELETE methods).
• Database Integration: Connecting web applications to relational databases.
• Authentication and Authorization: User authentication mechanisms and session management.

Day 5: Database Management and SQL

• Relational Database Design: Tables, primary keys, foreign keys, normalization.
• SQL Queries: CRUD operations (CREATE, READ, UPDATE, DELETE), aggregate functions.
• Advanced SQL: Joins, subqueries, indexing, and stored procedures.
• Introduction to NoSQL Databases: Understanding key-value stores, document-based databases.

Day 6: Cloud Computing Fundamentals

• Introduction to Cloud Computing: Concepts, service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid).
• Cloud Storage and Services: Storing and managing data in the cloud (AWS S3, Google Cloud Storage).
• Virtualization and Containers: Introduction to VMs, Docker, and container orchestration.
• Cloud Computing Security: Understanding basic security practices in cloud environments.

Day 7: Introduction to Artificial Intelligence (AI) and Machine Learning (ML)

• AI Concepts: Fundamentals of AI, problem-solving, and decision-making algorithms.
• Machine Learning Algorithms: Supervised learning (linear regression, decision trees) and unsupervised learning (k-means clustering).
• Data Preprocessing: Handling missing values, scaling, and encoding categorical data.
• Model Evaluation: Metrics for evaluating models (accuracy, precision, recall, F1-score).

Day 8: Cybersecurity and Ethical Hacking Basics

• Cybersecurity Concepts: Types of threats, vulnerabilities, and attacks (phishing, malware, DoS).
• Encryption Techniques: Basics of symmetric and asymmetric encryption, hashing algorithms.
• Ethical Hacking: Penetration testing, ethical hacking tools, and methodologies.
• Web Application Security: Common vulnerabilities like XSS, SQL injection, and how to prevent them.

Day 9: Software Development Life Cycle (SDLC)

• Overview of SDLC: Phases of software development (requirements gathering, design, implementation, testing, deployment).
• Agile Methodology: Introduction to Scrum and Kanban, managing iterations and backlogs.
• Version Control: Using Git and GitHub for version control and collaborative development.
• Software Testing: Introduction to unit testing, integration testing, and test-driven development.

Day 10: Project Development and Presentation

• Project Design: Plan and design a project based on the skills learned (e.g., a web application, database system).
• Hands-on Implementation: Develop and code the project using appropriate tools and technologies.
• Troubleshooting and Debugging: Debug any errors and ensure the project runs smoothly.
• Final Presentation: Present the project, demonstrating functionality, and receiving feedback.

Day 1: Programming Fundamentals

• Introduction to Programming Concepts: Variables, data types, operators, control structures.
• Basic Problem-solving and Coding Techniques.

Day 2: Data Structures and Algorithms

• Core Data Structures: Arrays, linked lists, stacks, queues.
• Algorithm Basics: Searching, sorting, and complexity analysis.

Day 3: Web Development Fundamentals

• Frontend Web Development: Basics of HTML, CSS, and JavaScript.
• Introduction to Web Design and Responsive Layouts.

Day 4: Database Management Systems (DBMS)

• Introduction to Databases: Concepts, tables, keys, normalization.
• Basics of SQL: Queries, CRUD operations, joins.

Day 5: Project Work and Presentation

• Project Development: Developing an application or website.
• Project Demonstration and Feedback Session.

Day 1: Introduction to Programming Concepts

• Basic Programming Fundamentals: Variables, data types, operators, and control structures (if, else, loops).
• Problem-solving Techniques: Writing algorithms and pseudocode.
• Functions and Recursion: Understanding functions and implementing recursion.
• Debugging and Error Handling: Techniques for troubleshooting code errors.

Day 2: Data Structures and Algorithms

• Core Data Structures: Arrays, linked lists, stacks, and queues.
• Advanced Data Structures: Trees (binary, AVL), graphs, and hash maps.
• Algorithm Design: Searching (linear, binary) and sorting (bubble, quick, merge).
• Time and Space Complexity: Understanding Big O notation for performance analysis.

Day 3: Web Development Fundamentals (Frontend)

• HTML: Structure of web pages, tags, attributes, and elements.
• CSS: Styling web pages, positioning, and responsive design.
• JavaScript: Basic scripting for dynamic web content (functions, events, DOM manipulation).
• Introduction to Frontend Frameworks: Overview of libraries like Bootstrap and jQuery.

Day 4: Web Development Fundamentals (Backend)

• Introduction to Server-Side Programming: Building backend applications with basic frameworks.
• APIs and RESTful Services: Creating and consuming APIs (GET, POST, PUT, DELETE methods).
• Database Integration: Connecting web applications to relational databases.
• Authentication and Authorization: User authentication mechanisms and session management.

Day 5: Database Management and SQL

• Relational Database Design: Tables, primary keys, foreign keys, normalization.
• SQL Queries: CRUD operations (CREATE, READ, UPDATE, DELETE), aggregate functions.
• Advanced SQL: Joins, subqueries, indexing, and stored procedures.
• Introduction to NoSQL Databases: Understanding key-value stores, document-based databases.

Day 6: Cloud Computing Fundamentals

• Introduction to Cloud Computing: Concepts, service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid).
• Cloud Storage and Services: Storing and managing data in the cloud (AWS S3, Google Cloud Storage).
• Virtualization and Containers: Introduction to VMs, Docker, and container orchestration.
• Cloud Computing Security: Understanding basic security practices in cloud environments.

Day 7: Introduction to Artificial Intelligence (AI) and Machine Learning (ML)

• AI Concepts: Fundamentals of AI, problem-solving, and decision-making algorithms.
• Machine Learning Algorithms: Supervised learning (linear regression, decision trees) and unsupervised learning (k-means clustering).
• Data Preprocessing: Handling missing values, scaling, and encoding categorical data.
• Model Evaluation: Metrics for evaluating models (accuracy, precision, recall, F1-score).

Day 8: Cybersecurity and Ethical Hacking Basics

• Cybersecurity Concepts: Types of threats, vulnerabilities, and attacks (phishing, malware, DoS).
• Encryption Techniques: Basics of symmetric and asymmetric encryption, hashing algorithms.
• Ethical Hacking: Penetration testing, ethical hacking tools, and methodologies.
• Web Application Security: Common vulnerabilities like XSS, SQL injection, and how to prevent them.

Day 9: Software Development Life Cycle (SDLC)

• Overview of SDLC: Phases of software development (requirements gathering, design, implementation, testing, deployment).
• Agile Methodology: Introduction to Scrum and Kanban, managing iterations and backlogs.
• Version Control: Using Git and GitHub for version control and collaborative development.
• Software Testing: Introduction to unit testing, integration testing, and test-driven development.

Day 10: Project Development and Presentation

• Project Design: Plan and design a project based on the skills learned (e.g., a web application, database system).
• Hands-on Implementation: Develop and code the project using appropriate tools and technologies.
• Troubleshooting and Debugging: Debug any errors and ensure the project runs smoothly.
• Final Presentation: Present the project, demonstrating functionality, and receiving feedback.