Course Overview
This Generative AI Course is designed to help learners understand and use AI tools like OpenAI ChatGPT, Google Gemini, Microsoft Copilot, image generation tools, AI automation platforms, and modern AI workflows for real-world productivity. The goal is to help learners move from simply using AI tools to actually building solutions and improving productivity with AI. No advanced coding knowledge is required for beginners. Both technical and non-technical learners can join.
Highlights
- Expert-led sessions on cutting-edge technology
- Hands-on projects for real-world experience
- Flexible online format for your convenience
- Network with professionals and industry leaders
- Gain insights into future AI trends
- Certification to boost your career prospects
Learning Outcomes
- Understand the fundamentals of generative AI
- Develop AI models using popular frameworks
- Create innovative applications with AI technologies
- Evaluate and improve AI model performance
- Apply ethical considerations in AI deployment
- Collaborate on AI projects with peers
Course Curriculum
- Understanding Web Technologies1h
- Overview of web development
- Client vs. server-side scripting
- Common web development tools
- HTML Structure and Elements1h 30m
- Basic HTML tags
- Creating lists and tables
- Using semantic HTML
- Styling with CSS1h 30m
- CSS syntax and selectors
- Box model and layout techniques
- Responsive design principles
- JavaScript Syntax and Functions1h 30m
- Variables and data types
- Control structures in JS
- Defining and invoking functions
- Interacting with the DOM1h 30m
- Selecting elements
- Modifying content and styles
- Event handling in JavaScript
- CSS Flexbox and Grid1h 30m
- Using Flexbox for layouts
- Grid layout fundamentals
- Combining Flexbox and Grid
- Asynchronous JavaScript1h 30m
- Understanding promises
- Async and await syntax
- Handling API requests
- React Basics1h 30m
- Creating React components
- JSX syntax overview
- Props and state management
- Understanding Component Lifecycle1h 30m
- Lifecycle methods overview
- Using useEffect hook
- Optimizing component performance
- Managing State with Hooks1h 30m
- useState and useReducer hooks
- Context API for global state
- Handling complex state logic
- Implementing React Router1h
- Setting up React Router
- Nested routes and redirects
- Dynamic routing techniques
- Node.js Basics1h 30m
- Understanding Node.js architecture
- Setting up a Node environment
- Creating a simple server
- Building APIs with Express1h 30m
- Setting up Express application
- Routing and middleware
- Error handling in Express
- Introduction to MongoDB1h 30m
- MongoDB architecture overview
- CRUD operations in MongoDB
- Integrating MongoDB with Node.js
- Data Modeling in MongoDB1h 30m
- Schema design principles
- Indexing for performance
- Aggregation framework basics
- Connecting React with Node.js1h 30m
- Making API calls from React
- Handling responses in components
- Error handling strategies
- Implementing Authentication1h 30m
- User registration and login
- JWT for authentication
- Securing API endpoints
- Testing React Applications1h 30m
- Unit testing with Jest
- Integration testing concepts
- Debugging techniques in React
- Deploying Web Applications1h 30m
- Choosing a deployment platform
- Continuous integration basics
- Environment variable management
- Improving Web Application Performance1h 30m
- Optimizing images and assets
- Reducing load times
- Using caching strategies
- Creating Responsive Layouts1h 30m
- Media queries in CSS
- Fluid grids and images
- Mobile-first design approach
- Ensuring Web Accessibility1h 30m
- Understanding WCAG guidelines
- Accessible HTML practices
- Testing for accessibility
- Implementing WebSockets1h 30m
- Introduction to WebSockets
- Creating a WebSocket server
- Real-time data updates
- Planning Your Final Project1h
- Defining project scope
- Choosing technology stack
- Creating wireframes and prototypes
- Building Your Web Application2h
- Implementing features and functionalities
- Testing and debugging your application
- Deployment and presentation
Frequently Asked Questions
A basic understanding of programming and machine learning concepts is recommended to get the most from this course.
Yes, participants will receive a certification that recognizes their expertise in generative AI upon successful completion of the course.
Graduates of this course are well-prepared for careers in AI development, data science, and machine learning roles across various industries.
Courses are offered multiple times throughout the year, with flexible scheduling to accommodate various time zones and commitments.
We offer a full refund if you cancel within the first week of the course. Please check our website for detailed terms.
Participants will have access to dedicated support from instructors as well as a community forum for peer assistance.
Ready to start Generative AI?
Talk to a counselor and find out which batch fits your schedule and goals.