Web Development with Generative AI

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About Web Development with Generative AI

Generative AI is making a significant impact on web development! It can help create personalized development environments that adapt to individual developer preferences and coding styles, enhancing productivity and making the coding experience more comfortable.

Why Taking Online Course From Growskill IT

    Learn anything

Explore any interest or trending topic, take prerequisites, and advance your skills.

    Save money

Spend less money on your learning if you plan to take multiple courses this year.

    Flexible learning

Learn at your own pace, move between multiple courses, or switch to a different course.

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Earn a certificate for every learning program that you complete at no additional cost.

Key Features

  Program completion certificate from Growskill IT
  Attend Masterclasses from top faculty.
  Growskill IT JobAssist helps you get noticed by top hiring companies
  Earn an industry-recognized Growskill IT certificate after completing of course.
  Industry-recognized certificates for courses
  Engage in capstone projects in 4 domains
  Experiential learning via multiple real-life innovation projects and capstones

Web Development with Generative AI Course Description

Tools & Skills Covered

Tools : VS Code, Git, GitHub,ChatGPT, DALL·E, etc
Skills : HTML5 ,CSS3,JavaScript ,RESTful ,SQL,NoSQL,JSP ,React.js or Vue.js,Jenkins,Docker,AWS, Azure, Google Cloud

What are the System Requirments ?

Below are the instructions for Growskill IT online java programming course :

- RAM : 2GB
- Processor : Intel Core2 Duo or higher
- Operating System : 32 bit or 64 bit

What are pre-requisites ?

- Programming : No programming experience is required.
- Basic Computer Skills : Communicaton Skills, Surfing Websites, Running Programs, Saving and Opening Documents, etc.

What is the Objective of Web Development with Generative AI ?

Generative AI is making a significant impact on web development! It can help create personalized development environments that adapt to individual developer preferences and coding styles, enhancing productivity and making the coding experience more comfortable.

What are the Features of Web Development with Generative AI ?

Live Classes

Live
Classes

1:1 Mentorship

1:1
Mentorship

Regular Assessments

Regular
Assessments

Capstone Projects

Capstone
Projects

Support Lifetime Access

Support,
Lifetime Access

HR Sessions

HR
Sessions

Mock Interviews

Mock
Interviews

100% Placement Support

100% Placement Support

Web Development with Generative AI Course Content

Module 1: Foundations of Web Development

05 Modules

1. Introduction to Web Development.

Overview of Web Technologies
Client-Server Architecture
Setting up a Development Environment (VS Code, Git, GitHub)
Assignment: Research and document various web technologies and their use cases.

2. Frontend Development

HTML5 Basics: Structure and Semantics
CSS3: Styling and Layouts (Flexbox, Grid)
Styling with CSS (Selectors, Classes, IDs, Responsive Design)
JavaScript Essentials: DOM Manipulation, Event Handling
Responsive Design and Accessibility Principles
Project: Build a personal portfolio webpage with responsive design(with basic animations).

3. Backend Development

Introduction to server-side programming.
Introduction to Node.js and Express.js framework
API Development and RESTful Services
Working with Databases (SQL and NoSQL)
Authentication and Authorization Basics
Assignment : Create a basic API to manage a simple task list.

4. Database Basics

Introduction to databases (SQL vs NoSQL).
Working with MongoDB or Firebase for beginners.
Connecting frontend with the backend and database.
Assignment: Create a basic API to manage a simple task list.

5. Introduction to Java

Java Syntax and Basics.
Object-Oriented Programming Concepts.
Data Structures in Java.
Building Console-Based Applications
Introduction to Servlets and JSP (Java Server Pages).
Project: Develop a console-based Library Management System.

Module 2: Introduction to Generative AI

02 Modules

1. Understanding AI and ML Concepts.

Basics of Artificial Intelligence
What is Generative AI? Applications in web development.
Introduction to pre-trained AI models (ChatGPT, DALL·E, etc.).
Machine Learning vs. Deep Learning
Introduction to Generative Models (GANs, Transformers)
Assignment: Write a short report comparing GANs and Transformers with examples.

2. Generative AI Tools and Platforms

Overview of Popular APIs (OpenAI, Hugging Face, Stability AI)
Fine-Tuning Pretrained Models
Ethics and Bias in AI Applications
Project: Use a generative AI API to create text-based content for a blog.

Module 3: Integrating Generative AI into Web Applications

02 Modules

1. AI-Powered Features.

Building a Chatbot with GPT Models
Real-Time Content Generation (Text, Images).
Project: Implement a chatbot for an e-commerce website.

2. Personalization and Recommendation Systems

AI-Driven User Experiences
Implementing Recommender Systems in E-commerce Apps
Ethics and Bias in AI Applications
Assignment : Design a basic recommendation algorithm for product suggestions.
Hands-On Project 1 : Create a Blog Website with AI-Generated Content

Module 4: Advanced Web Development Techniques

03 Modules

1. Frontend Frameworks.

Introduction to React.js or Vue.js
State Management and Component-Based Design
Assignment : Build a dynamic form application using React or Vue.js

2. Backend Integration

Microservices Architecture
Working with WebSockets for Real-Time Communication
Project : Develop a chat application with real-time messaging.

3. DevOps Basics

Version Control with Git and GitHub, Jenkins.
Setting Up CI/CD Pipelines
Introduction to Containerization with Docker.
Assignment : Create a CI/CD pipeline for a sample project.
Hands-On Project 2 : Build an E-commerce Website with AI-Powered Recommendations

Module 5: Real-World AI Applications in Web Development

02 Modules

1. AI in Design.

Using AI for CSS and Layout Suggestions
Automating Design Tasks with Generative Tools
Assignment : Use an AI design tool to generate mockups for a webpage.

2. AI-Powered Search

Implementing Semantic Search
Natural Language Processing (NLP) for Enhanced Navigation
Project : Integrate AI-powered search functionality into a website.
Hands-On Project 3: Portfolio Website with AI-Assisted Design and Content

Module 6: Industry Preparation and Deployment

03 Modules

1. Deploying AI-Integrated Web Apps.

Hosting on Cloud Platforms (AWS, Azure, Google Cloud)
Optimizing Web Performance
Assignment : Deploy a sample application to a cloud platform.

2. Portfolio and Resume Building

Highlighting AI Projects in Portfolios
Preparing for Technical Interviews
Assignment : Create a detailed portfolio showcasing completed projects.

3. Placement Assistance

Mock Interviews.
Networking Tips
Partnering with Hiring Platforms.

Electives

02 Modules

1. Data Structures and Algorithms (DSA).

Understanding Core DSA Concepts (Arrays, Linked Lists, Trees, Graphs)
Problem-Solving Techniques
Practice with Competitive Programming Platforms (e.g., LeetCode, HackerRank)
Assignment : Solve 10 DSA problems related to web development scenarios.

2. System Design

Basics of System Architecture
High-Level and Low-Level Design Principles
Case Studies: Designing Scalable Web Applications
Mock System Design Interviews
Project : Design a scalable architecture for a social media application..

Capstone Project : Develop a Fully Functional Web Application Combining Generative AI Features (e.g., AI-Powered Blogging Platform or AI-Assisted E-commerce Site).

Web Development with Generative AI Course Certification

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