Web Development with Agentic AI Automation:
A Web Developer with Agentic AI can develop intelligent web applications that automate complex business processes using AI agents.
Earlier, web developers focused mainly on building websites and web applications. However, the trends have changed now. The rapid adoption of Agentic AI has transformed the role of web developers. Today, developers are expected to build intelligent applications that integrate AI agents, automate workflows, enhance user experiences, and improve business productivity. Web Developers with Agentic AI Automation are in high demand because they combine strong web development skills with AI-driven automation to build the next generation of intelligent web applications.
Training Overview:
Students first learn to build robust web applications and REST APIs using PHP or .NET. They then learn Python programming to develop AI agents, AI APIs, and intelligent automation workflows using modern AI frameworks. Finally, students learn how to integrate these AI agents with PHP/.NET web applications through APIs, MCP (Model Context Protocol), and AI connectivity frameworks to build intelligent, AI-powered software applications.
Training Duration
The total duration of training is 250 Hrs. The full course takes around 6 months time to complete.
Course Fee
₹ 47,500
Course Structure
Basic Programming Recap & Aptitude
This module is designed to help students refresh their fundamental knowledge of C programming and assess their readiness for advanced programming concepts.
Topic 1: HTML-5,CSS-3, JavaScript Basics, ES6 Features, TypeScript Fundamentals
HTML-5, CSS-3, Tailwind CSS & Bootstrap: Introduction of HTML-5, new Input Types, input attributes, semantic elements and their usage; Working with different Types of Html Tables with Proper Examples & use cases.
Working with basic CSS, selectors,realtionships and CSS-3 animation properties.
Introduction to Tailwind CSS, Utility-first workflow, installation via npm, and using utility classes for layout, spacing, and typography.
Creation of Responsive UI UX using Media Query; Use of Bootstrap Framework for making Responsive Web Site Design Pattern.
Concept of making SEO Friendly Website Off Page Mechanism. JavaScript Basics: Variable Concept, Loop Concept, Array Concept, Complete Form Validations like Phone, Email, Password etc..
Topic 2: Back-end Development Using PHP / Dot Net
In this Topic, you will learn PHPor Dot Net based on your selection of the Back-end technology.
PHP
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book_2 Module 1: Introduction to PHP
topicOverview of PHP in Web Development
- • Setting up a PHP environment (XAMPP, Composer).
- • Basics of PHP (syntax, variables, functions, arrays, session, cookies etc.).
- • Introduction to web development concepts (HTTP requests, responses).
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book_2 Module 2: Database Insights
- • Database concept, SQL-Query(Create, Insert, Delete, Update, Select[with join]), Fundamental of Normalization [Data Redundancy & Foreign Key Constraints], Trigger and Store Procedure.
- • Building database relationships
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book_2 Module 4: Core PHP Development with Database, AJAX
SQL-Query(Create, Insert, Delete, Update, Select[with join] using PHP), file upload, Ajax Concept, CRUD Operations, Query String, Session & AJAX, use of $.ajax() with example.
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book_2 Module 4: Object Oriented Programming Concept in PHP
Object Oriented Programming through PHP with all types of MySql operation, Detail knowledge about class, object, inheritance, polymorphism, different types of variable in a class, encapsulation, Constructor, Destructor, Abstract class, Scalar Type Declaration, Traits, Generator Delegation, Coercive Mode, Namespace-Use, yield-return, Object Oriented Programming with Database Connectivity by PDO.
Online Training Demo Video
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book_2 Module 5: MVC Framework, Laravel, Security
topicTopic 1: MVC Framework, Introduction to Laravel
Overview of MVC Framework, Overview of Composer, Overview of PHP Artisan Command, Installing & Configuring Laravel, Hello world Application
topicTopic 2: Laravel basics & programming
Understanding Structure of Laravel Project, Creating Controller and View, Sending Parameters using Controller and View, Understanding Model, Simple MVC application using BookStore
topicTopic 3: Session, Cookies, File Upload in Laravel
File Upload in Laravel, Session in Laravel, Cookies Implementation in Laravel, Understanding MiddleWare in Laravel.
topicTopic 4: Laravel advanced topics
Understanding Laravel Migration Technique, Understanding Resource Controller, Implementation of Ajax with Laravel.[Basic CRUD Operations], Laravel Relationship [One To Many,Many to Many with example], Basic CRUD OPERATION using Laravel Migration
topicTopic 5: Laravel Eloquent Model Relationships
One to one, One to many Inverse relationship, Create an complete rest api crud using ajax jquery frontend.
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book_2 Module 6: Laravel API, & Front-End frameworks Integrations
- • Introduction to REST API Creation, Implementation of JWT Token in Laravel.
- • Integrating Laravel API with Front-End Frameworks.
Dot Net
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book_2 Module 1: Introduction to DotNet Framework
topicOverview of DotNet in Web Development
- ASP.NET work, CLR, CLS, CTS, ADO.NET, LINQ
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book_2 Module 2: Database Insights
- • Database Schema, Table creation.
- • Create, Alter, Insert, Update, Delete, Select query, Joining Query.
- • Stored Procedure, View, Concept of NOSQL.
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book_2 Module 3: OOPs Concept with Console Application
- • Class, Object, Properties, Constructor, Inheritance, Interface, Method Overloading, Method Overriding, List, Loop, Switch Case.
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book_2 Module 4: Coding with ASP.Net
topicASP.NET CORE
- Asp.net CORE overview and advantages, Web application folder structure, Middleware Pipeline, InProcess Hosting, OutProcess Hosting, Kestrel Server, Package Reference for asp.net core web app.
topicASP.NET MVC 5
- • Concept of MVC Framework, Working with controller, sending values from controller to view.
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book_2 Module 5: Database Connectivity with ADO.NET (MVC)
- • Concept of ADO.NET, Working with SqlConnection, SqlDataAdapter, SqlCommand Class, DataSet and DataTable, Basic CRUD operation with ADO.NET.
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book_2 Module 6: Database Connectivity with LINQ using Entity Framework (MVC)
- Model First approach or Database First approach CRUD Operation, CODE First approach CRUD Operation, Dynamic dropdown from database, File upload, Registration, Login with session.
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book_2 Module 7: Web API, & Front-End frameworks Integrations
- • JSON Format, HTTP Services (GET, PUT, POST, DELETE), Concept of POSTMAN operation & Swagger operation.
- • Integration of Web API with Front-End Frameworks.
Topic 3: AI Agent Development using Python
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book_2 Module 1: Python Programming for AI Applications
- • Python syntax and programming fundamentals
- • Variables, data types, and control structures
- • Functions and modular programming
- • Data structures: lists, tuples, dictionaries, sets
- • File handling and exception management
- • Writing clean and maintainable Python code
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book_2 Module 2: Python with Object-Oriented Programming
- • Object-Oriented Programming concepts
- • Classes, abstract classes, interfaces
- • Types of inheritance
- • Method Resolution Order (MRO)
- • Introduction to Streamlit
- • Build basic GUI applications using Streamlit
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book_2 Module 3: Python with SQLite Database
- • Introduction to SQLite
- • Understanding serverless databases
- • CRUD operations using Python + SQLite
- • Database relationships
- • Build small standalone applications
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book_2 Module 4: Introduction to FastAPI
- • REST API fundamentals
- • HTTP methods: GET, POST, PUT
- • Build APIs using FastAPI & SQLite
- • Integrate APIs with JavaScript frontend
- • Build Agentic bot for CRUD operations
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book_2 Module 5: Prompt Engineering for Developers
- • Principles of effective prompt design
- • System, user, and assistant prompts
- • Dynamic prompt creation using Python
- • Structured outputs (JSON-based responses)
- • Prompt optimization and error handling
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book_2 Module 6: Agentic AI & LLM Fundamentals
- • Introduction to AI and Generative AI
- • Understanding Large Language Models (LLMs)
- • Interacting with LLMs using Python
- • Setup Ollama and run local LLMs
- • Build custom chatbot applications
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book_2 Module 7: Building AI Agents Using Python
- • Designing task-oriented AI agents
- • Tool calling and function execution
- • API and database integration
- • Context and memory management
- • Custom agent logic development
- • Model Context Protocol [MCP] tools configuration
- • Create a simple client-server using MCP tools
- • Create custom tools using MCP + OPENAI LLM hands-on.
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book_2 Module 8: RAG (Retrieval Augmented Generation)
- • RAG architecture basics
- • FAISS vector database
- • Sentence transformers & query-based agents
- • Knowledge base creation
- • Build apps like PDF reader bot, DB bot
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book_2 Module 9: Advanced RAG & Agent Frameworks
- • FAISS, LangChain, OpenAI integration
- • Build agents using LangChain + FAISS
- • Convert APIs using FastAPI
- • Connect frontend with live APIs
- • Projects: AI PDF Chat, GitHub Chat, File Search AI
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book_2 Module 10: Multiple Agents Orchestration
- • Learning Multiple Agent concecpt
- • What is Crew AI , LangGraph
- • Create multiple agents for database automation using OpenAI & Gemini
- • Multiple Agent decision making, chaining and nesting concept
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book_2 Module 11: Cost Optimization & Efficiency
- • Token optimization
- • Response caching
- • Model selection strategies
- • Streaming responses
- • Cost monitoring & budgeting
Topic 4: AI Agent Integration with PHP/.Net Web Application
- • Fundamentals of UI and UX design for web applications, including layout structure, visual hierarchy, usability principles, and common interface patterns using tools like Figma.
- • Generating UI ideas, layouts, and design concepts using AI prompts with tools such as ChatGPT.
- • Creating wireframes and mockups using AI-powered design tools like Figma and Uizard.
- • Designing responsive interface components such as landing pages, dashboards, and forms using component-based design systems in Figma.
- • Improving user flow, usability, and UI text using AI suggestions with ChatGPT.
- •Preparing UI designs for front-end development implementation by organizing components and exporting design assets from Figma
Topic 5: Basic Deployment Automation with Git
- • Version control fundamentals using Git and repository management on GitHub.
- • Branching strategies, pull requests, and collaborative development workflow.
- • Basic CI/CD pipeline setup using GitHub Actions.
- • Deploying web applications using Git-based deployment platforms such as Vercel or Netlify.
- • Deploy FastAPI applications
- • Host AI agents
- • Connect live APIs to frontend
- • Build real-world deployable AI systems
Project Scope Preparation
Project Scope Creation Through Problem Solving
- • Understanding Client & Business Needs.
- • Requirement Gathering via Q&A Simulation.
- • Defining the Project Scope.
- • Solution Design & Storyboard Presentation.
- • Project Execution & Delivery Plan Set up.
A Modern Age AI Application Development
As part of our Web Development with Agentic AI Automation training, students will work on a real-world project using PHP or .NET for web application development and Python for building AI agents and AI APIs. They will integrate these AI agents with their web application using APIs, MCP, and modern AI frameworks to implement intelligent automation features. This hands-on project enables students to gain practical experience in developing AI-powered software applications, strengthen their problem-solving skills, and adopt industry-standard development practices, making them job-ready for modern web development roles.

Certification as Web & Agentic AI Developer
Upon successful completion of the training and assigned project work, students are awarded the Trainee PHP/ASP.Net & Agentic AI Developer certification, jointly issued by EJOBINDIA and OS4ED India Pvt. Ltd., the software development division.
Commencing Batches
Node JS
Jul 23, 2026
Data Engineering & Analytics
Jul 24, 2026
MERN Stack Development
Jul 24, 2026
PHP Web Development
Jul 24, 2026