Full Stack Software Developer with GenAI
From Code to Creation -
Next Cohort
Course Duration
480 Hrs
Course Overview
The Software Developer with Generative AI program is an advanced, industry-relevant course tailored for aspiring developers who want to master full stack software development while leveraging the power of Generative AI tools and models. This program not only imparts strong fundamentals in frontend and backend technologies but also integrates AI-powered development, automation, and intelligent application design using modern AI APIs, prompt engineering, and LLM integrations.
Key Features
- Develop intelligent applications using APIs from OpenAI, Gemini, etc.
- Gain hands-on experience with modern Generative AI tools
- Real-world projects using AI-integrated features
- Build chatbots, AI blogs, and smart UI systems
Skills Covered
- Cloud Deployment (Vercel, AWS)
- Prompt Engineering & LangChain
- RESTful API Development
- MongoDB & SQL Basics
- React.js & State Management
- Git/GitHub & Dev Environments
Course Curriculum
Rooman IT Ignite
Module 1 - Python Programming
- Introduction to Python and Basic Syntax Understand Python installation, syntax rules, and writing your first program.
- Control Structures Learn decision-making (if/else), loops (for, while), and flow control techniques.
- Functions Define and call functions, understand parameters, return values, and scope.
- Data Structures Work with lists, tuples, dictionaries, and sets for real-world data manipulation.
- File Handling Read, write, and manage text and CSV files using Python.
- Modules & Libraries Import built-in and custom modules; explore popular libraries like math, datetime, etc.
- Exception Handling Handle errors gracefully using try-except blocks, raising exceptions, and best practices.
- Object-Oriented Programming Learn classes, objects, inheritance, polymorphism, and encapsulation in Python.
- Python programming with Databases Connect to databases (e.g., SQLite, MySQL), perform CRUD operations using Python.
- Hands-On Practice and Hands On Guided Project Apply concepts through coding exercises, quizzes, and a mentor-led capstone project.
Module 2 - Networking Essentials
- Introduction to Networking Understand the basics of computer networks, types (LAN, WAN, MAN), and networking devices like routers, switches, hubs, etc.
- TCP/IP Model and IP Addressing Explore the layers of the TCP/IP model and learn about IPv4/IPv6 addressing schemes and classes.
- Subnetting and DHCP Learn how to calculate subnets, subnet masks, and understand how DHCP automates IP assignment.
- Application Layer Protocol Study key protocols like HTTP, FTP, DNS, SMTP, and how they function within the TCP/IP model.
- Network Troubleshooting and Basic Security Get introduced to common network issues, diagnostic tools (ping, traceroute), and foundational security practices like firewalls, antivirus, and access control.
- Introduction to OSI Layer Learn the 7-layer OSI model that standardizes network communication from physical to application level.
- Transmission Medium Explore different mediums like cables, fiber optics, and wireless used to transmit data across networks.
- Topology Study network layouts such as star, bus, ring, and mesh and how they affect performance and reliability.
- Ranges of Classes Explore IP address classes (A, B, C, etc.) and their usage based on the size and scope of networks.
- Wireless Technology Learn how Wi-Fi and other wireless standards work to enable cable-free connectivity.
- IPv4 Study the widely used 32-bit IP addressing system and its limitations in modern networking.
- IPv6 Understand the advanced 128-bit addressing system designed to replace IPv4 with greater scalability.
Module 3 - Linux Basics
- Introduction of Linux
- Linux Graphical User Interface
- Accessing the Command Lines
- Working with Files Managing Local Users and Groups
- Controlling Access to Files
- Monitoring and Managing Linux Processes
- Managing Software Packages
- Managing Basic Storage
- Managing Logical Volumes
- Controlling the Boot Process
- Managing Network settings
- Linux Fundamentals and Basic Administration
- System Administration
- Security and Scripting
- RHCA Specific Topics and Introduction to Cloud Computing
Module 4 - Cyber Security
- Intro to Cyber Security Understand the core principles of cybersecurity, its importance, and key concepts like CIA Triad (Confidentiality, Integrity, Availability).
- Cyber Attacks Learn about common threats including malware, phishing, DoS/DDoS attacks, ransomware, and social engineering.
- Security Devices (Firewall, IDS, IPS) Explore how firewalls, Intrusion Detection Systems (IDS), and Intrusion Prevention Systems (IPS) protect networks and systems.
- OS Hardening Secure your OS through user account controls, patch management, disabling unnecessary services, and enforcing security policies.
- Web & Application Security Basics Gain foundational knowledge on securing web applications, understanding vulnerabilities like XSS, SQL injection, and the OWASP Top 10.
Module 5 - Introduction to Cloud Computing
- Introduction to Cloud Computing Learn the fundamentals of cloud computing, deployment models (Public, Private, Hybrid), and service models (IaaS, PaaS, SaaS).
- Core Cloud Services Explore key services such as compute (EC2), storage (S3), networking (VPC), and databases (RDS) offered by major cloud providers like AWS, Azure, or GCP.
- Introduction to Cloud DevOps Understand the principles of DevOps, CI/CD pipelines, Infrastructure as Code (IaC), and automation tools like Docker, Jenkins, and Terraform.
- Advanced Cloud Computing Dive deeper into cloud architecture, security best practices, monitoring, load balancing, auto-scaling, and multi-cloud strategies.
- Hands-on Guided Project Work on real-world projects simulating production environments, with mentorship on choosing roles like Cloud Engineer, DevOps Engineer, or SRE.
- Career Pathways and Hands-On Labs Practice skills in real cloud environments using sandboxed labs for deploying, securing, and managing cloud infrastructure.
Module 6 - Data Analytics
- Introduction to Data Analysis and Tools Learn the fundamentals of data analytics, its applications, and key tools used by professionals (Excel, SQL, Power BI, Python, etc.).
- Data Cleaning and Preprocessing Understand how to handle missing data, remove duplicates, normalize formats, and prepare raw data for analysis.
- Advanced Excel Master pivot tables, advanced formulas, charts, lookups, and data modeling techniques for actionable insights.
- Power BI Build interactive dashboards, create visual reports, and connect to multiple data sources for dynamic business intelligence.
Module 7 - Gen AI Tools and Usage
- Introduction to GenAI & Prompt Engineering Understand the fundamentals of Generative AI, including how large language models (LLMs) like GPT work. Learn the basics of crafting effective prompts to guide AI responses for different tasks.
- ChatGPT for Learning Explore how to use ChatGPT as a smart learning companion — for explaining concepts, summarizing topics, solving doubts, and preparing for interviews or assignments.
- Coding & Research Leverage GenAI tools to write, debug, and understand code more efficiently. Discover how AI can assist in research, documentation, and rapid prototyping.
- GitHub Copilot & Code Assistants Gain hands-on experience with tools like GitHub Copilot, Tabnine, and other AI-powered code assistants to boost productivity, write better code, and speed up development
- Prompt Engineering Deep Dive for Coding Master advanced prompt techniques specifically tailored for coding tasks — such as generating algorithms, refactoring code, translating languages, or writing test cases effectively with AI tools.
- Introduction to Python and Basic Syntax Understand Python installation, syntax rules, and writing your first program.
- Control Structures Learn decision-making (if/else), loops (for, while), and flow control techniques.
- Functions Define and call functions, understand parameters, return values, and scope.
- Data Structures Work with lists, tuples, dictionaries, and sets for real-world data manipulation.
- File Handling Read, write, and manage text and CSV files using Python.
- Modules & Libraries Import built-in and custom modules; explore popular libraries like math, datetime, etc.
- Exception Handling Handle errors gracefully using try-except blocks, raising exceptions, and best practices.
- Object-Oriented Programming Learn classes, objects, inheritance, polymorphism, and encapsulation in Python.
- Python programming with Databases Connect to databases (e.g., SQLite, MySQL), perform CRUD operations using Python.
- Hands-On Practice and Hands On Guided Project Apply concepts through coding exercises, quizzes, and a mentor-led capstone project.
- Introduction to Networking Understand the basics of computer networks, types (LAN, WAN, MAN), and networking devices like routers, switches, hubs, etc.
- TCP/IP Model and IP Addressing Explore the layers of the TCP/IP model and learn about IPv4/IPv6 addressing schemes and classes.
- Subnetting and DHCP Learn how to calculate subnets, subnet masks, and understand how DHCP automates IP assignment.
- Application Layer Protocol Study key protocols like HTTP, FTP, DNS, SMTP, and how they function within the TCP/IP model.
- Network Troubleshooting and Basic Security Get introduced to common network issues, diagnostic tools (ping, traceroute), and foundational security practices like firewalls, antivirus, and access control.
- Introduction to OSI Layer Learn the 7-layer OSI model that standardizes network communication from physical to application level.
- Transmission Medium Explore different mediums like cables, fiber optics, and wireless used to transmit data across networks.
- Topology Study network layouts such as star, bus, ring, and mesh and how they affect performance and reliability.
- Ranges of Classes Explore IP address classes (A, B, C, etc.) and their usage based on the size and scope of networks.
- Wireless Technology Learn how Wi-Fi and other wireless standards work to enable cable-free connectivity.
- IPv4 Study the widely used 32-bit IP addressing system and its limitations in modern networking.
- IPv6 Understand the advanced 128-bit addressing system designed to replace IPv4 with greater scalability.
- Introduction to Linux and Basic Commands Learn Linux architecture, terminal usage, and essential commands for navigation, file handling, and system interaction.
- User and File Permissions Management Understand Linux user roles, groups, and permission settings (read, write, execute) using chmod, chown, and usermod.
- Process Management and Shell Scripting Basics Manage processes using ps, top, kill; write basic shell scripts for automation and task scheduling.
- Package Management and Disk Management Install, update, and remove software using package managers like apt, yum; manage partitions and disk space using df, du, and fdisk.
- Networking Basics and System Monitoring Configure IP settings, check connectivity, and monitor system performance using tools like netstat, ping, vmstat, and htop.
- Intro to Cyber Security Understand the core principles of cybersecurity, its importance, and key concepts like CIA Triad (Confidentiality, Integrity, Availability).
- Cyber Attacks Learn about common threats including malware, phishing, DoS/DDoS attacks, ransomware, and social engineering.
- Security Devices (Firewall, IDS, IPS) Explore how firewalls, Intrusion Detection Systems (IDS), and Intrusion Prevention Systems (IPS) protect networks and systems.
- OS Hardening Secure your OS through user account controls, patch management, disabling unnecessary services, and enforcing security policies.
- Web & Application Security Basics Gain foundational knowledge on securing web applications, understanding vulnerabilities like XSS, SQL injection, and the OWASP Top 10.
- Introduction to Cloud Computing Learn the fundamentals of cloud computing, deployment models (Public, Private, Hybrid), and service models (IaaS, PaaS, SaaS).
- Core Cloud Services Explore key services such as compute (EC2), storage (S3), networking (VPC), and databases (RDS) offered by major cloud providers like AWS, Azure, or GCP.
- Introduction to Cloud DevOps Understand the principles of DevOps, CI/CD pipelines, Infrastructure as Code (IaC), and automation tools like Docker, Jenkins, and Terraform.
- Advanced Cloud Computing Dive deeper into cloud architecture, security best practices, monitoring, load balancing, auto-scaling, and multi-cloud strategies.
- Hands-on Guided Project Work on real-world projects simulating production environments, with mentorship on choosing roles like Cloud Engineer, DevOps Engineer, or SRE.
- Career Pathways and Hands-On Labs Practice skills in real cloud environments using sandboxed labs for deploying, securing, and managing cloud infrastructure.
- Introduction to Data Analysis and Tools Learn the fundamentals of data analytics, its applications, and key tools used by professionals (Excel, SQL, Power BI, Python, etc.).
- Data Cleaning and Preprocessing Understand how to handle missing data, remove duplicates, normalize formats, and prepare raw data for analysis.
- Advanced Excel Master pivot tables, advanced formulas, charts, lookups, and data modeling techniques for actionable insights.
- Power BI Build interactive dashboards, create visual reports, and connect to multiple data sources for dynamic business intelligence.
- Introduction to GenAI & Prompt Engineering Understand the fundamentals of Generative AI, including how large language models (LLMs) like GPT work. Learn the basics of crafting effective prompts to guide AI responses for different tasks.
- ChatGPT for Learning Explore how to use ChatGPT as a smart learning companion — for explaining concepts, summarizing topics, solving doubts, and preparing for interviews or assignments.
- Coding & Research Leverage GenAI tools to write, debug, and understand code more efficiently. Discover how AI can assist in research, documentation, and rapid prototyping.
- GitHub Copilot & Code Assistants Gain hands-on experience with tools like GitHub Copilot, Tabnine, and other AI-powered code assistants to boost productivity, write better code, and speed up development
- Prompt Engineering Deep Dive for Coding Master advanced prompt techniques specifically tailored for coding tasks — such as generating algorithms, refactoring code, translating languages, or writing test cases effectively with AI tools.
Web Development & DSA
Module 1 - Web Development Fundamentals
- HTML (HyperText Markup Language) The foundation of all web pages; it structures content using elements like headings, paragraphs, links, and images.
- CSS(Cascading Style Sheets) Used to style and visually enhance HTML elements, including layout, colors, fonts, and responsiveness.
- JavaScript (ES6+) A dynamic scripting language that adds interactivity, logic, and dynamic updates to web pages. ES6+ includes modern features like arrow functions, promises, and modules.
- Bootstrap A popular CSS framework that speeds up responsive design using pre-built components like grids, buttons, and navbars.
- Responsive Design Techniques that ensure websites look and function well on all screen sizes, from desktops to smartphones.
- Tailwind (optional) A utility-first CSS framework that offers rapid styling capabilities with minimal custom CSS. Great for customizing UI without writing repetitive styles.
Module 2 - Version Control & Dev Environment
- Git & GitHub Git is a version control system that tracks code changes; GitHub is a cloud platform to store, share, and collaborate on code. Together, they enable efficient team development and project management.
- VSCode A powerful, lightweight code editor from Microsoft with smart features like IntelliSense, debugging, Git integration, and extensions for all major programming languages.
- npm/yarn Package managers used for installing and managing JavaScript libraries and dependencies. Essential for modern web and Node.js development.
- Node.js basics A runtime environment that lets you run JavaScript on the server side. Enables building scalable backend services and full-stack apps using JS.
Module 3 - Database Basics
- SQL (MySQL/PostgreSQL) Structured Query Language used to manage and query relational databases. MySQL and PostgreSQL are widely-used, open-source SQL databases.
- NoSQL (MongoDB) A non-relational database designed for flexibility and scalability. MongoDB stores data in JSON-like documents, making it ideal for dynamic or unstructured data.
- CRUD Create, Read, Update, and Delete — the four basic functions for interacting with any database. Fundamental for building full-stack applications.
- Joins SQL operations that combine rows from two or more tables based on related columns. Enables complex queries and relational data retrieval.
- Triggers Automated actions in a database that execute in response to events like insertions or updates. Useful for logging, validations, and workflows.
- ER (Entity-Relationship) Models Visual representations of database structure, showing tables, relationships, and key attributes. Crucial for designing scalable database schemas.
Module 4 - UI Development & React Essentials
- React.js A popular JavaScript library for building fast and interactive user interfaces. Emphasizes reusable components and efficient DOM updates.
- Redux A predictable state container for managing application state globally in React apps. Helps handle complex data flows with ease.
- JSX(JavaScript XML) A syntax extension that allows writing HTML-like code within JavaScript. Makes UI components more readable and intuitive in React.
- Components Independent, reusable building blocks of React applications. Each component encapsulates its own logic and UI.
- Props & State Props allow data to be passed between components, while state holds local, dynamic data that affects rendering. Core concepts for interactivity.
- Routing Enables navigation between different views or pages in a single-page application. Supports dynamic routing and nested routes.
- Hooks Functions like useState, useEffect, and useContext that add state and side effects to functional components. Simplify logic reuse and component lifecycle handling.
- Form Handling Techniques to manage form input, validation, and submission within React. Covers controlled components and libraries like Formik or React Hook Form.
Module 5 - AI Integration for Developers
- GitHub Copilot An AI-powered coding assistant developed by GitHub and OpenAI that suggests entire lines or blocks of code as you type. Enhances productivity and reduces boilerplate effort.
- Cursor An AI-integrated code editor designed to work alongside developers, enabling intelligent code navigation, autocompletion, and AI-powered edits directly in the IDE.
- Gemini Google’s GenAI model integrated into coding tools (like Google Colab or IDEs), helping with explanations, autocompletion, and efficient problem-solving.
- Prompt-driven coding The process of instructing AI models to generate or modify code using natural language prompts. Enables faster prototyping and enhances developer efficiency.
- Debugging using AI AI-assisted debugging tools analyze your code, suggest fixes, and explain errors. Helps reduce manual debugging time and improves code quality.
Module - Data Structures and Algorithms
- Introduction to Problem Solving Learn how to break down complex problems and design step-by-step logic to arrive at optimal solutions. Focuses on computational thinking and algorithm design.
- Arrays and Strings Fundamental data structures used to store collections of items. Covers indexing, traversal, manipulation, and common interview problems.
- Stacks and queues Fundamental data structures used to store collections of items. Covers indexing, traversal, manipulation, and common interview problems.
- Linked lists Dynamic data structures where elements point to the next node. Includes singly, doubly, and circular linked lists with insert/delete operations.
- Recursion and backtracking Techniques where a function calls itself to solve problems. Used in combinatorial tasks like permutations, mazes, and puzzles.
- Hashing and sets Efficient data lookup using hash functions. Learn to implement maps and sets to solve frequency, uniqueness, and pattern problems.
- Searching and Sorting Algorithms Includes binary search, merge sort, quick sort, etc. Essential for understanding algorithm efficiency and preparing for coding interviews.
- Trees and Graphs Non-linear data structures used for hierarchical and networked data. Learn tree traversal, graph representations, BFS, DFS, and shortest path algorithms.
- HTML (HyperText Markup Language) The foundation of all web pages; it structures content using elements like headings, paragraphs, links, and images.
- CSS(Cascading Style Sheets) Used to style and visually enhance HTML elements, including layout, colors, fonts, and responsiveness.
- JavaScript (ES6+) A dynamic scripting language that adds interactivity, logic, and dynamic updates to web pages. ES6+ includes modern features like arrow functions, promises, and modules.
- Bootstrap A popular CSS framework that speeds up responsive design using pre-built components like grids, buttons, and navbars.
- Responsive Design Techniques that ensure websites look and function well on all screen sizes, from desktops to smartphones.
- Tailwind (optional) A utility-first CSS framework that offers rapid styling capabilities with minimal custom CSS. Great for customizing UI without writing repetitive styles.
- Git & GitHub
- VSCode
- npm/yarn
- Node.js basics
- SQL (MySQL/PostgreSQL) Structured Query Language used to manage and query relational databases. MySQL and PostgreSQL are widely-used, open-source SQL databases.
- NoSQL (MongoDB) A non-relational database designed for flexibility and scalability. MongoDB stores data in JSON-like documents, making it ideal for dynamic or unstructured data.
- CRUD Create, Read, Update, and Delete — the four basic functions for interacting with any database. Fundamental for building full-stack applications.
- Joins SQL operations that combine rows from two or more tables based on related columns. Enables complex queries and relational data retrieval.
- Triggers Automated actions in a database that execute in response to events like insertions or updates. Useful for logging, validations, and workflows.
- ER (Entity-Relationship) Models Visual representations of database structure, showing tables, relationships, and key attributes. Crucial for designing scalable database schemas.
- React.js A popular JavaScript library for building fast and interactive user interfaces. Emphasizes reusable components and efficient DOM updates.
- Redux A predictable state container for managing application state globally in React apps. Helps handle complex data flows with ease.
- JSX(JavaScript XML) A syntax extension that allows writing HTML-like code within JavaScript. Makes UI components more readable and intuitive in React.
- Components Independent, reusable building blocks of React applications. Each component encapsulates its own logic and UI.
- Props & State Props allow data to be passed between components, while state holds local, dynamic data that affects rendering. Core concepts for interactivity.
- Routing Enables navigation between different views or pages in a single-page application. Supports dynamic routing and nested routes.
- Hooks Functions like useState, useEffect, and useContext that add state and side effects to functional components. Simplify logic reuse and component lifecycle handling.
- Form Handling Techniques to manage form input, validation, and submission within React. Covers controlled components and libraries like Formik or React Hook Form.
- GitHub Copilot An AI-powered coding assistant developed by GitHub and OpenAI that suggests entire lines or blocks of code as you type. Enhances productivity and reduces boilerplate effort.
- Cursor An AI-integrated code editor designed to work alongside developers, enabling intelligent code navigation, autocompletion, and AI-powered edits directly in the IDE.
- Gemini Google’s GenAI model integrated into coding tools (like Google Colab or IDEs), helping with explanations, autocompletion, and efficient problem-solving.
- Prompt-driven coding The process of instructing AI models to generate or modify code using natural language prompts. Enables faster prototyping and enhances developer efficiency.
- Debugging using AI AI-assisted debugging tools analyze your code, suggest fixes, and explain errors. Helps reduce manual debugging time and improves code quality.
- Introduction to Problem Solving Learn how to break down complex problems and design step-by-step logic to arrive at optimal solutions. Focuses on computational thinking and algorithm design.
- Arrays and Strings Fundamental data structures used to store collections of items. Covers indexing, traversal, manipulation, and common interview problems.
- Stacks and queues Fundamental data structures used to store collections of items. Covers indexing, traversal, manipulation, and common interview problems.
- Linked lists Dynamic data structures where elements point to the next node. Includes singly, doubly, and circular linked lists with insert/delete operations.
- Recursion and backtracking Techniques where a function calls itself to solve problems. Used in combinatorial tasks like permutations, mazes, and puzzles.
- Hashing and sets Efficient data lookup using hash functions. Learn to implement maps and sets to solve frequency, uniqueness, and pattern problems.
- Searching and Sorting Algorithms Includes binary search, merge sort, quick sort, etc. Essential for understanding algorithm efficiency and preparing for coding interviews.
- Trees and Graphs Non-linear data structures used for hierarchical and networked data. Learn tree traversal, graph representations, BFS, DFS, and shortest path algorithms.
Specialization Tracks
Module 1 - Java Programming & Advanced Java
- Java Basics Covers foundational syntax, data types, operators, control structures, and methods to build simple Java programs and understand flow control.
- OOP(Object-Oriented Programming) Learn core OOP principles—encapsulation, inheritance, polymorphism, and abstraction—to build reusable and modular Java applications.
- Exception Handling Handle errors gracefully using try-catch blocks, custom exceptions, and finally clauses. Essential for writing robust and crash-resistant code.
- Collections Work with built-in Java data structures like Lists, Sets, Maps, and Queues. Understand interfaces like Collection, List, Set, and the utility of iterators.
- File I/O Read and write data from/to files using Java’s Input/Output streams. Covers file handling with FileReader, BufferedReader, PrintWriter, etc.
- Java 8+ Features Explore modern Java features like Lambda expressions, Streams API, Functional Interfaces, and new Date/Time APIs that simplify coding.
- JDBC(Java Database Connectivity) Connect Java applications to relational databases. Learn to execute SQL queries, manage connections, and perform CRUD operations.
- Servlets Server-side Java programs that handle requests and responses. Learn session management, request dispatching, and response generation.
- JSP(JavaServer Pages) Simplifies dynamic content generation using HTML and Java. Used to build UI layers in Java-based web applications.
- MVC Architecture Model-View-Controller design pattern separates concerns in web apps. Encourages clean, scalable, and maintainable project structure.
- Web Applications Build and deploy end-to-end Java-based web applications using Servlets, JSP, and backend logic. Learn to integrate frontend and backend layers.
- Filters Special web components that intercept and modify requests/responses. Used for logging, authentication, and input validation.
- Listeners React to specific events (e.g., app start, session end) in the web application lifecycle. Useful for resource management and auditing.
- Annotations Simplify and standardize configuration using metadata. Learn commonly used annotations like @WebServlet, @Override, and @RequestMapping.
Module 2 - Enterprise Development with Spring Boot
- Spring Core Learn the core features of the Spring Framework, including Inversion of Control (IoC) and Dependency Injection (DI), which form the backbone of modern Java enterprise apps.
- Spring Boot A rapid development framework that simplifies building and deploying Spring-based applications. Focus on auto-configuration, starter dependencies, and embedded servers.
- MVC(Model-View-Controller) Implement the MVC pattern using Spring Boot to separate application logic, UI, and data layers. Promotes organized, maintainable codebases.
- REST APIs Build and expose RESTful web services with Spring Boot using @RestController. Handle HTTP methods, status codes, and JSON data exchange.
- Dependency Injection Automate the management of object dependencies in your codebase to promote loose coupling, reusability, and testability.
- Validation Use Spring’s validation framework (@Valid, @NotNull, etc.) to enforce input constraints and prevent invalid data from entering your application.
- Swagger Integrate Swagger/OpenAPI to document, visualize, and test REST APIs directly from the browser. Enhances collaboration and API usability.
Module 3 - Microservices & Backend Architecture
- Spring Cloud A suite of tools built on Spring Boot to create scalable, distributed systems and microservices. Helps with service discovery, configuration, and communication.
- Eureka A service registry from Netflix used for microservice discovery. Helps services find and communicate with each other dynamically without hardcoded URLs.
- Feign A declarative HTTP client in Spring Cloud that simplifies REST API communication between microservices. Reduces boilerplate with easy-to-use annotations.
- API Gateway Acts as a single entry point for all client requests. Manages routing, load balancing, security, and throttling for microservice architectures.
- Config Server Centralized configuration management for microservices. Supports dynamic reloading and keeps environment-specific properties externalized.
- Kafka (basics) A distributed event streaming platform used to build real-time data pipelines. Enables reliable asynchronous communication between microservices.
- JPA/Hibernate Java Persistence API with Hibernate for ORM (Object Relational Mapping). Simplifies database operations using entity classes and annotations.
Module 4 - Frontend with Angular
- TypeScript A strongly-typed superset of JavaScript used in Angular. Enhances code quality, tooling support, and helps catch errors during development.
- Components The building blocks of Angular applications. Learn how to create reusable UI elements using templates, styles, and business logic.
- Routing Manage navigation and multi-page behavior within single-page apps using Angular Router. Enables URL mapping and lazy loading.
- Reactive Forms Build and validate complex forms using reactive programming principles. Offers better scalability, testability, and dynamic form control.
- Services Encapsulate business logic and reusable code using Angular Services. Learn dependency injection and service-based architecture.
- RxJS A powerful reactive programming library used in Angular for handling asynchronous data streams. Core to Observables, Subjects, and operators.
- State Management (NgRx – optional) Manage complex app state using the Redux-style NgRx library. Ensures predictable state changes, better debugging, and scalable architecture.
Module 5 - DevOps & Full Stack Deployment
- Docker Learn containerization to package applications with all dependencies. Enables consistent and portable deployments across environments.
- Kubernetes (basics) Understand orchestration for deploying and managing containers at scale. Covers pods, services, and basic deployment strategies.
- CI/CD (GitHub Actions/Jenkins) Automate code integration, testing, and deployment pipelines using tools like GitHub Actions or Jenkins to enable faster, reliable releases.
- Postman Test, debug, and document RESTful APIs using Postman. Ideal for ensuring endpoints work correctly before deployment.
- Testing Implement unit, integration, and API testing to ensure software reliability and performance before pushing to production.
- Deployment on Cloud (AWS, etc.) Deploy full-stack applications to cloud platforms like AWS, Azure, or GCP. Learn basic infrastructure setup and deployment workflows.
Module 1 - Backend Programming with Node.js
- Node.js Fundamentals Understand the core of Node.js—its architecture, asynchronous nature, and runtime environment for executing JavaScript on the server side.
- Event Loop Learn how Node.js handles non-blocking I/O using the event loop and callbacks, enabling high-performance concurrent processing.
- File System Work with the Node.js fs module to read, write, update, and manage files asynchronously on the server.
- npm/yarn Use Node Package Manager (npm) or Yarn to manage dependencies, scripts, and project configurations in Node.js applications.
- Express.js Basics Build lightweight web servers and REST APIs using Express.js. Learn routing, middleware, and request/response handling.
Module 2 - API Development with Express & MongoDB
- RESTful APIs Design and build scalable, stateless APIs following REST principles. Learn to handle HTTP methods, status codes, and JSON data exchanges.
- MongoDB Work with MongoDB, a NoSQL database, to store and manage unstructured data. Ideal for fast and flexible backend storage.
- Mongoose Use Mongoose, an ODM (Object Data Modeling) library for MongoDB, to define schemas, validate data, and simplify database interactions.
- CRUD Implement Create, Read, Update, and Delete operations on data models using Express routes connected to MongoDB collections.
- Middleware Enhance your Express app with middleware for logging, error handling, authentication, and request preprocessing.
- Validation Use libraries like express-validator or Mongoose’s built-in validators to ensure clean, expected input from clients.
- Role-based Access Implement access control by assigning roles and restricting actions based on user privileges, improving API security.
Module 3 - Authentication, WebSockets & Realtime Apps
- JWT Auth Implement JSON Web Token (JWT) for stateless, secure user authentication across APIs. Ideal for managing user sessions in RESTful services.
- OAuth Integrate third-party login systems (e.g., Google, GitHub) using OAuth 2.0 protocols to allow secure delegated access.
- Bcrypt Use bcrypt to hash and securely store user passwords, protecting against credential theft and database leaks.
- Passport.js A versatile authentication middleware for Node.js supporting local and OAuth strategies. Simplifies user login and session handling.
- WebSockets with Socket.io Enable real-time, bidirectional communication between client and server using WebSockets, powered by the Socket.io library.
- Live Notifications Build features like instant alerts, chat updates, and activity feeds with real-time server push notifications using Socket.io or similar tools.
Module 4 - React Frontend Development
- JSX JSX is a syntax extension that lets you write HTML-like code within JavaScript. It makes building UI components in React intuitive and expressive.
- Components The core building blocks of React applications. Learn to build reusable, functional or class-based components for structured UIs.
- Hooks Use React Hooks like useState, useEffect, and useRef to manage component state, side effects, and references in functional components.
- Routing Implement client-side navigation using react-router-dom to manage different views, routes, and nested layouts in your app.
- Redux/Context Manage complex state with Redux or Context API to ensure scalable data flow and state sharing across components.
- Form Handling Create, validate, and manage user input using controlled/uncontrolled components and libraries like Formik or React Hook Form.
- API Integration Connect your frontend with backend APIs using fetch, axios, or async/await. Handle loading states, errors, and data binding.
Module 5 - DevOps & MERN Stack Deployment
- Docker for Node/React Learn containerization to package applications with all dependencies. Enables consistent and portable deployments across environments.
- Docker Compose Understand orchestration for deploying and managing containers at scale. Covers pods, services, and basic deployment strategies.
- CI/CD Automate code integration, testing, and deployment pipelines using tools like GitHub Actions or Jenkins to enable faster, reliable releases.
- Vercel/Render/AWS Deployment Deploy full-stack applications to platforms like Vercel, Render, or AWS with production-ready settings.
- MongoDB Atlas Host and manage your MongoDB databases in the cloud with scalability, backups, and easy access.
Track 1 - Java Full Stack Developer
- Java Basics Covers foundational syntax, data types, operators, control structures, and methods to build simple Java programs and understand flow control.
- OOP(Object-Oriented Programming) Learn core OOP principles—encapsulation, inheritance, polymorphism, and abstraction—to build reusable and modular Java applications.
- Exception Handling Handle errors gracefully using try-catch blocks, custom exceptions, and finally clauses. Essential for writing robust and crash-resistant code.
- Collections Work with built-in Java data structures like Lists, Sets, Maps, and Queues. Understand interfaces like Collection, List, Set, and the utility of iterators.
- File I/O Read and write data from/to files using Java’s Input/Output streams. Covers file handling with FileReader, BufferedReader, PrintWriter, etc.
- Java 8+ Features Explore modern Java features like Lambda expressions, Streams API, Functional Interfaces, and new Date/Time APIs that simplify coding.
- JDBC(Java Database Connectivity) Connect Java applications to relational databases. Learn to execute SQL queries, manage connections, and perform CRUD operations.
- Servlets Server-side Java programs that handle requests and responses. Learn session management, request dispatching, and response generation.
- JSP(JavaServer Pages) Simplifies dynamic content generation using HTML and Java. Used to build UI layers in Java-based web applications.
- MVC Architecture Model-View-Controller design pattern separates concerns in web apps. Encourages clean, scalable, and maintainable project structure.
- Web Applications Build and deploy end-to-end Java-based web applications using Servlets, JSP, and backend logic. Learn to integrate frontend and backend layers.
- Filters Special web components that intercept and modify requests/responses. Used for logging, authentication, and input validation.
- Listeners React to specific events (e.g., app start, session end) in the web application lifecycle. Useful for resource management and auditing.
- Annotations Simplify and standardize configuration using metadata. Learn commonly used annotations like @WebServlet, @Override, and @RequestMapping.
- Spring Core Learn the core features of the Spring Framework, including Inversion of Control (IoC) and Dependency Injection (DI), which form the backbone of modern Java enterprise apps.
- Spring Boot A rapid development framework that simplifies building and deploying Spring-based applications. Focus on auto-configuration, starter dependencies, and embedded servers.
- MVC(Model-View-Controller) Implement the MVC pattern using Spring Boot to separate application logic, UI, and data layers. Promotes organized, maintainable codebases.
- REST APIs Build and expose RESTful web services with Spring Boot using @RestController. Handle HTTP methods, status codes, and JSON data exchange.
- Dependency Injection Automate the management of object dependencies in your codebase to promote loose coupling, reusability, and testability.
- Validation Use Spring’s validation framework (@Valid, @NotNull, etc.) to enforce input constraints and prevent invalid data from entering your application.
- Swagger Integrate Swagger/OpenAPI to document, visualize, and test REST APIs directly from the browser. Enhances collaboration and API usability.
- Spring Cloud A suite of tools built on Spring Boot to create scalable, distributed systems and microservices. Helps with service discovery, configuration, and communication.
- Eureka A service registry from Netflix used for microservice discovery. Helps services find and communicate with each other dynamically without hardcoded URLs.
- Feign A declarative HTTP client in Spring Cloud that simplifies REST API communication between microservices. Reduces boilerplate with easy-to-use annotations.
- API Gateway Acts as a single entry point for all client requests. Manages routing, load balancing, security, and throttling for microservice architectures.
- Config Server Centralized configuration management for microservices. Supports dynamic reloading and keeps environment-specific properties externalized.
- Kafka (basics) A distributed event streaming platform used to build real-time data pipelines. Enables reliable asynchronous communication between microservices.
- JPA/Hibernate Java Persistence API with Hibernate for ORM (Object Relational Mapping). Simplifies database operations using entity classes and annotations.
- TypeScript A strongly-typed superset of JavaScript used in Angular. Enhances code quality, tooling support, and helps catch errors during development.
- Components The building blocks of Angular applications. Learn how to create reusable UI elements using templates, styles, and business logic.
- Routing Manage navigation and multi-page behavior within single-page apps using Angular Router. Enables URL mapping and lazy loading.
- Reactive Forms Build and validate complex forms using reactive programming principles. Offers better scalability, testability, and dynamic form control.
- Services Encapsulate business logic and reusable code using Angular Services. Learn dependency injection and service-based architecture.
- RxJS A powerful reactive programming library used in Angular for handling asynchronous data streams. Core to Observables, Subjects, and operators.
- State Management (NgRx – optional) Manage complex app state using the Redux-style NgRx library. Ensures predictable state changes, better debugging, and scalable architecture.
- Docker Learn containerization to package applications with all dependencies. Enables consistent and portable deployments across environments.
- Kubernetes (basics) Understand orchestration for deploying and managing containers at scale. Covers pods, services, and basic deployment strategies.
- CI/CD (GitHub Actions/Jenkins) Automate code integration, testing, and deployment pipelines using tools like GitHub Actions or Jenkins to enable faster, reliable releases.
- Postman Test, debug, and document RESTful APIs using Postman. Ideal for ensuring endpoints work correctly before deployment.
- Testing Implement unit, integration, and API testing to ensure software reliability and performance before pushing to production.
- Deployment on Cloud (AWS, etc.) Deploy full-stack applications to cloud platforms like AWS, Azure, or GCP. Learn basic infrastructure setup and deployment workflows.
Track 2 - Mern Full Stack Developer
- Node.js Fundamentals Understand the core of Node.js—its architecture, asynchronous nature, and runtime environment for executing JavaScript on the server side.
- Event Loop Learn how Node.js handles non-blocking I/O using the event loop and callbacks, enabling high-performance concurrent processing.
- File System Work with the Node.js fs module to read, write, update, and manage files asynchronously on the server.
- npm/yarn Use Node Package Manager (npm) or Yarn to manage dependencies, scripts, and project configurations in Node.js applications.
- Express.js Basics Build lightweight web servers and REST APIs using Express.js. Learn routing, middleware, and request/response handling.
- RESTful APIs Design and build scalable, stateless APIs following REST principles. Learn to handle HTTP methods, status codes, and JSON data exchanges.
- MongoDB Work with MongoDB, a NoSQL database, to store and manage unstructured data. Ideal for fast and flexible backend storage.
- Mongoose Use Mongoose, an ODM (Object Data Modeling) library for MongoDB, to define schemas, validate data, and simplify database interactions.
- CRUD Implement Create, Read, Update, and Delete operations on data models using Express routes connected to MongoDB collections.
- Middleware Enhance your Express app with middleware for logging, error handling, authentication, and request preprocessing.
- Validation Use libraries like express-validator or Mongoose’s built-in validators to ensure clean, expected input from clients.
- Role-based Access Implement access control by assigning roles and restricting actions based on user privileges, improving API security.
- JWT Auth Implement JSON Web Token (JWT) for stateless, secure user authentication across APIs. Ideal for managing user sessions in RESTful services.
- OAuth Integrate third-party login systems (e.g., Google, GitHub) using OAuth 2.0 protocols to allow secure delegated access.
- Bcrypt Use bcrypt to hash and securely store user passwords, protecting against credential theft and database leaks.
- Passport.js A versatile authentication middleware for Node.js supporting local and OAuth strategies. Simplifies user login and session handling.
- WebSockets with Socket.io Enable real-time, bidirectional communication between client and server using WebSockets, powered by the Socket.io library.
- Live Notifications Build features like instant alerts, chat updates, and activity feeds with real-time server push notifications using Socket.io or similar tools.
- JSX JSX is a syntax extension that lets you write HTML-like code within JavaScript. It makes building UI components in React intuitive and expressive.
- Components The core building blocks of React applications. Learn to build reusable, functional or class-based components for structured UIs.
- Hooks Use React Hooks like useState, useEffect, and useRef to manage component state, side effects, and references in functional components.
- Routing Implement client-side navigation using react-router-dom to manage different views, routes, and nested layouts in your app.
- Redux/Context Manage complex state with Redux or Context API to ensure scalable data flow and state sharing across components.
- Form Handling Create, validate, and manage user input using controlled/uncontrolled components and libraries like Formik or React Hook Form.
- API Integration Connect your frontend with backend APIs using fetch, axios, or async/await. Handle loading states, errors, and data binding.
- Docker for Node/React Learn containerization to package applications with all dependencies. Enables consistent and portable deployments across environments.
- Docker Compose Understand orchestration for deploying and managing containers at scale. Covers pods, services, and basic deployment strategies.
- CI/CD Automate code integration, testing, and deployment pipelines using tools like GitHub Actions or Jenkins to enable faster, reliable releases.
- Vercel/Render/AWS Deployment Deploy full-stack applications to platforms like Vercel, Render, or AWS with production-ready settings.
- MongoDB Atlas Host and manage your MongoDB databases in the cloud with scalability, backups, and easy access.
Salary Scale
Maximum
25 LPA
Average
12 LPA
Minimum
5 LPA
Job Role
- AI-Enabled Full Stack Developer
- Software Developer
- AI Prompt Engineer
- AI Solutions Developer
- Chatbot Developer
- AI Web Developer
Course Certificate
Eligibility Criteria
- Have a minimum of 70% marks throughout their academics
- Possess good English communication skills
- Pass the entrance test conducted by Futureacad
Tools & Technologies
Training Options
Online Training
₹46500
₹
34,000
Including Taxes* -
Structured, Industry-Vetted Curriculum
-
200+ Practical Assignments & Labs
-
Capstone Projects & Real-Time Simulations
-
Training on Industry-Relevant Tools & Platforms
-
AI-Powered LMS with Lifetime Access
-
Placement Assistance, Career Support & Guaranteed Placements
-
Live, Face-to-Face Mentorship
-
Collaborative Peer Learning
-
Hands-On Experience in Physical Labs
-
Offline Hiring Drives & Resume Building Sessions
job guarantee
Classroom Training
₹93000
₹
69,000
Including Taxes* -
Structured, Industry-Vetted Curriculum
-
200+ Practical Assignments & Labs
-
Capstone Projects & Real-Time Simulations
-
Training on Industry-Relevant Tools & Platforms
-
AI-Powered LMS with Lifetime Access
-
Placement Assistance, Career Support & Guaranteed Placements
-
Live, Face-to-Face Mentorship
-
Collaborative Peer Learning
-
Hands-On Experience in Physical Labs
-
Offline Hiring Drives & Resume Building Sessions
job guarantee
Admission Process
Job Readiness Assessment & Communication Test
Clear the qualifier test to be eligible for the program
Complete
Counselling
Only shortlisted candidates go through the counselling
Start
Learning
Unlock your potential with expert-led learning and stand out
Why Join this Program
Earn a job
Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.
Leverage knowledge from industry experts
Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.
Industry-relevant Tools & Practical Learning
Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.
Structured, industry-vetted curriculum
A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.
Integrated with Gen AI Modules
The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.
Interview preparation & Placement assistance
Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.
Why Join this Program
AI + Full Stack in One
Master frontend/backend skills alongside Generative AI toolchains.
Real-World AI Coding
Learn with AI pair programming, code autocompletion, and debugging tools.
Projects That Matter
Build deployable AI-powered applications like chatbots, smart forms, and content generators.
Developer of the Future
Stand out with AI-native full stack skills, aligned with the future of work.
FAQ
No — we cover foundational AI tool usage and integration.
Yes — it includes full stack + AI integration for future relevance.
Yes — chatbots, AI blogs, smart assistants, and more.
Yes — industry-recognized certification is issued on completion.
Learners have access to a support system that includes mentorship, discussion forums, and technical assistance to help with any queries or challenges faced during the course.
Yes — both platforms are used in project work.