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C,C++
C is a powerful, low-level programming language that provides direct access to memory and system resources. It is widely used for developing system software, operating systems, embedded systems, and performance-critical applications. C is known for its speed, efficiency, and close-to-hardware programming.
C++ is an extension of C that includes object-oriented programming features such as classes, inheritance, and polymorphism. It combines the power and speed of C with high-level programming capabilities, making it ideal for developing complex software like games, simulations, and real-time systems.
Introduction to programming and structure of C/C++ programs
Data types, variables, and constants
Operators and expressions
Input and output functions
Conditional statements (if, if-else, switch)
Looping structures (for, while, do-while)
Functions and parameter passing
Arrays (1D, 2D, multi-dimensional)
Strings and string handling functions
Pointers and pointer arithmetic
Structures and unions
File handling and file operations
Dynamic memory allocation
Introduction to object-oriented programming in C++
Classes, objects, constructors, and destructors
Inheritance, polymorphism, and encapsulation
Function overloading and operator overloading
Templates and exception handling
Standard Template Library (STL) basics
Mini project combining C and C++ concepts
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Python
Python is a high-level, versatile, and easy-to-learn programming language known for its clean syntax and readability. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Introduction to Python and installation
Syntax, variables, and data types
Operators and expressions
Conditional statements (if, elif, else)
Loops (for, while) and loop control statements
Functions and scope
Lists, tuples, and sets
Dictionaries and their operations
String handling and formatting
File handling (read, write, append)
Exception handling (try, except, finally)
Modules and packages
Object-oriented programming (classes, objects, inheritance, polymorphism)
Working with libraries like math, datetime, and random
Introduction to virtual environments and pip
Basic data structures and algorithms
Introduction to NumPy and Pandas
Simple project applying core concepts
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JAVA
Java is a robust, object-oriented, and platform-independent programming language widely used for building secure, scalable, and portable applications. Known for its "write once, run anywhere" capability, Java can run on any device that supports the Java Virtual Machine (JVM), making it ideal for cross-platform development.
- Introduction to Java and setting up the environment
- Basic syntax, variables, and data types
- Operators and expressions
- Control statements (if, switch, loops)
- Arrays and string handling
- Methods and parameter passing
- Object-oriented programming concepts
- Classes, objects, constructors, and overloading
- Inheritance and method overriding
- Abstract classes and interfaces
- Packages and access modifiers
- Exception handling (try, catch, throw, finally)
- File input and output (I/O)
- Collections framework (List, Set, Map)
- Multithreading and concurrency basics
- GUI development with Swing or JavaFX (optional)
- Database connectivity using JDBC
- Mini project using core Java concepts
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MYSql
MySQL is an open-source, relational database management system (RDBMS) widely used for storing, managing, and retrieving data. It uses Structured Query Language (SQL) to interact with databases and is known for its speed, reliability, and ease of use.
Introduction to databases and MySQL
Installation and setup of MySQL environment
Understanding databases, tables, and data types
Creating and managing databases and tables
Inserting, updating, and deleting records
Basic SQL queries: SELECT, WHERE, ORDER BY, LIMIT
Filtering data with LIKE, IN, BETWEEN, and logical operators
Using functions: COUNT, SUM, AVG, MIN, MAX
Grouping data with GROUP BY and HAVING
Joining tables: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
Subqueries and nested queries
Creating and using views
Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL
Indexes and performance tuning basics
User management and database security
Importing and exporting data
Backup and restore operations
Final project: designing and querying a relational database
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DevOps
DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development life cycle and deliver high-quality software continuously. It emphasizes collaboration, automation, integration, and continuous delivery to improve efficiency and product reliability.
DevOps bridges the gap between development and operations teams by using tools and workflows that automate processes like code integration, testing, deployment, and monitoring. Popular tools include Git, Jenkins, Docker, Kubernetes, Ansible, and AWS.
Introduction to Cloud Computing and AWS
Overview of AWS global infrastructure (Regions, Availability Zones)
AWS Management Console and Command Line Interface (CLI)
Identity and Access Management (IAM) – users, groups, roles, and policies
Amazon EC2 (Elastic Compute Cloud) – instances, security groups, and key pairs
Amazon S3 (Simple Storage Service) – creating, managing, and securing buckets
AWS VPC (Virtual Private Cloud) – subnets, route tables, internet gateway
Elastic Load Balancer (ELB) and Auto Scaling
AWS Lambda – serverless architecture and event-driven computing
Amazon RDS (Relational Database Service) – setup and management of databases
Amazon CloudWatch – monitoring, logs, and alarms
Amazon SQS (Simple Queue Service) – message queuing
AWS CloudFormation – infrastructure as code and stack management
Amazon Route 53 – DNS and domain management
AWS Security Best Practices and Compliance
Final project: Deploying a web application on AWS using EC2, S3, and RDS
Introduction to Jenkins and Continuous Integration (CI)
Setting up Jenkins: Installation and configuration
Understanding Jenkins architecture (Master and Agent nodes)
Jenkins pipeline concepts: Declarative and Scripted pipelines
Creating and managing Jenkins jobs (Freestyle, Maven, Gradle)
Source code management with Git and GitHub integration
Configuring build triggers (e.g., Poll SCM, Webhooks)
Building and testing automation with Jenkins
Jenkins and integration with version control systems (Git, SVN)
Managing Jenkins plugins for extended functionality
Continuous Deployment (CD) and integration with Docker
Integrating Jenkins with testing frameworks (JUnit, Selenium, etc.)
Using Jenkins for deployment automation and delivery pipelines
Monitoring Jenkins builds with notifications and reports
Jenkins security: User authentication and access control
Scaling Jenkins with distributed builds and managing agents
Final project: Setting up a complete CI/CD pipeline in Jenkins
Introduction to Kubernetes and container orchestration
Setting up Kubernetes cluster (Minikube, Kubeadm, managed services like GKE, EKS)
Kubernetes architecture: Master and Node components
Understanding Pods, ReplicaSets, and Deployments
Creating and managing Kubernetes Pods and Containers
Configuring Kubernetes Services (ClusterIP, NodePort, LoadBalancer)
Networking in Kubernetes: Ingress Controllers and DNS
Persistent Storage in Kubernetes: Volumes, Persistent Volumes, and Persistent Volume Claims
Configuring ConfigMaps and Secrets for application configuration
Managing resource requests and limits for containers
Scaling applications and managing stateful applications
Kubernetes Namespace for resource isolation
Helm: Package manager for Kubernetes
Kubernetes monitoring and logging with tools like Prometheus and Grafana
Troubleshooting Kubernetes clusters and applications
Security in Kubernetes: RBAC, Network Policies, and Pod Security Policies
Final project: Deploying and managing a scalable application using Kubernetes
Full Stack Development
Full stack development refers to the process of building both the front-end (client-side) and back-end (server-side) of a web application. A full stack developer has the skills to work on all layers of a web application, from the user interface (UI) to the server, databases, and everything in between.
Introduction to Full Stack Development and Java-based technologies
Setting up Java development environment (JDK, IDEs like IntelliJ IDEA, Eclipse)
Understanding of HTTP, REST APIs, and web architecture
Front-End Development
Basics of HTML, CSS, and JavaScript
Responsive design and UI frameworks (Bootstrap)
JavaScript frameworks: Introduction to React.js or Angular
Managing client-side data with Axios or Fetch API
Introduction to TypeScript (optional)
Back-End Development with Java
Introduction to Java SE and core concepts
Working with Java EE (Servlets, JSP)
Introduction to Spring Framework (Spring Boot, Spring MVC, Spring Security)
Building RESTful web services with Spring Boot
Handling databases with JPA (Hibernate) and Spring Data
Databases
Introduction to SQL and relational databases (MySQL, PostgreSQL)
CRUD operations, Joins, and Transactions
Database design and normalization
Using JDBC and ORM frameworks
Version Control and Build Tools
Introduction to Git and GitHub for version control
Using Maven or Gradle for dependency management and build automation
Project Work
Developing a full-stack Java application (e-commerce, social media platform, etc.)
Front-end development using React or Angular, back-end development with Spring Boot, database integration, and deployment
Introduction to Full Stack Development and Python-based technologies
Overview of Full Stack development and its layers (Front-End, Back-End, Database)
Setting up Python development environment (IDE, Virtual Environments, Pip)
Front-End Development
Basics of HTML, CSS, and JavaScript
Responsive web design with Bootstrap
Front-End JavaScript frameworks: React.js or Angular
Managing client-side data with Axios or Fetch API
Introduction to TypeScript (optional)
Back-End Development with Python
Overview of Python basics and Object-Oriented Programming (OOP)
Web frameworks: Flask or Django
Creating RESTful APIs with Flask or Django REST Framework
Working with Jinja2 templating engine (in Flask)
Introduction to Django ORM for database operations
Databases
Introduction to SQL and relational databases (PostgreSQL, MySQL)
Database design and normalization
CRUD operations, Joins, and Transactions
Working with SQLAlchemy (for Flask) or Django ORM
Introduction to NoSQL databases (MongoDB) and integration with PyMongo
Introduction to Git and GitHub for version control
Version Control and Build Tools
Using Docker for containerization
Project Work
Developing a full-stack Python application (e.g., a blog, social media app, e-commerce site)
Front-End development using React or Angular, Back-End with Flask or Django, database integration, and deployment
Cyber Security
Cybersecurity involves protecting computer systems, networks, and data from unauthorized access, attacks, or damage. With the increasing reliance on digital systems, cybersecurity is crucial for safeguarding sensitive information and maintaining privacy, integrity, and availability of data.
Overview of cybersecurity and its importance
Types of cyber threats and attacks (phishing, malware, ransomware, etc.)
Key cybersecurity principles: Confidentiality, Integrity, Availability (CIA Triad)
Understanding networks and protocols (TCP/IP, HTTP, DNS, etc.)
Network security concepts: Firewalls, VPNs, and NAT
Introduction to cryptography and encryption techniques
Symmetric and asymmetric encryption, hashing algorithms
Security features in operating systems (Windows, Linux, MacOS)
Authentication methods: Passwords, multi-factor authentication (MFA), biometrics
Understanding and configuring firewalls and IDS/IPS
Web application security: SQL injection, XSS, and CSRF
Incident detection, response, and recovery
Security monitoring and using SIEM tools
Risk assessment and compliance with frameworks like ISO 27001, NIST
Implementing security measures in a real-world environment
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