Artificial Intelligence (AI)
(Online Training)
Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, particularly computer systems. It involves using algorithms and data to enable machines to learn, reason, and make decisions. AI technologies, such as machine learning, natural language processing, and computer vision, are used in various applications, from virtual assistants and chatbots to predictive analytics and autonomous vehicles. AI enhances efficiency, automates tasks, and provides deep insights, transforming industries and everyday life
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Full Stack Developer Course Syllabus
Module 1 Introduction to Web Development
- What is web development?
- Who is front-end developer?
- Who is full-stack developer?
- Static vs dynamic website
- Who is backend developer?
Module 2 HTML5 Basics
- Basic HTML structure
- Semantic HTML elements
- Forms and inputs
- Media elements
- Links and navigation
Module 3 CSS Fundamentals
- CSS selectors
- Box model
- Flexbox and Grid
- Responsive design
- CSS animations
Module 4 JavaScript Essentials
- Variables and data types
- Functions and events
- DOM manipulation
- Loops and conditions
- ES6+ features
Module 5 Advanced JavaScript
- Closures and callbacks
- Promises and async/await
- Event loop and concurrency
- APIs and AJAX
- Web storage and cookies
Module 6 Introduction to React.js
- React components
- JSX and rendering
- Props and state
- Handling events
- React lifecycle methods
Module 7 React Advanced Concepts
- React Hooks
- React Router
- Context API
- State management (Redux)
- React performance optimization
Module 8 Introduction to Java
- Java syntax and setup
- Object-Oriented Programming (OOP)
- Java collections
- Exception handling
- Java multithreading
Module 9 Java Advanced Concepts
- Streams and lambdas
- Concurrency in Java
- File handling
- Java design patterns
- Networking in Java
Module 10 Introduction to MySQL
- SQL basics
- Database design
- Data manipulation
- Joins and queries
- Database transactions
Module 11 Advanced MySQL
- Stored procedures
- Triggers
- Indexes
- Database optimization
- Advanced queries
Module 12 DBMS Concepts
- Database models
- Normalization
- Database security
- Backup and recovery
- Data warehousing