genai full stack development

GEN AI FULL-STACK DEVELOPMENT

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About The Course

This Generative AI Software Engineering course is designed to equip learners with the skills to build intelligent, AI-powered applications using modern development practices. You’ll learn AI-assisted coding, prompt engineering, LLM integration, AI agents, full-stack web development, cloud deployment, and DevOps while working with industry-standard tools such as React, Node.js, Express, MongoDB, LangChain, OpenAI APIs, Docker, and GitHub Copilot. Through hands-on projects and real-world capstone applications, you’ll gain practical experience in developing, deploying, and scaling AI solutions. The program also includes portfolio development, interview preparation, and career guidance, preparing you for internships and full-time roles as a Generative AI Software Engineer or AI Full-Stack Developer.

What You’ll Achieve

Build Production-Ready Generative AI Applications – Design, develop, and deploy full-stack AI applications using LLMs, AI agents, modern web technologies, and cloud platforms.
Master Industry-Standard AI & Development Tools – Gain hands-on experience with React, Node.js, Express, MongoDB, LangChain, OpenAI APIs, Docker, GitHub Copilot, Cursor AI, and modern DevOps workflows.
Create a Strong Job-Ready Portfolio – Complete multiple real-world AI projects, deploy them to the cloud, and build a professional GitHub portfolio that showcases your practical skills.
Become Career Ready for AI Engineering Roles – Strengthen your resume, optimize your LinkedIn profile, prepare for technical and HR interviews, and develop the confidence to secure internships or full-time Generative AI Software Engineering roles.

Who Is This For?

Aspiring Software Developers & AI Engineers – Ideal for learners who want to build a career in Generative AI, AI Software Engineering, or Full-Stack Development.
Students & Fresh Graduates – Perfect for college students and recent graduates looking to gain practical, industry-ready AI development skills and build a strong project portfolio.
Frontend, Backend & Full-Stack Developers – Designed for developers who want to integrate Large Language Models (LLMs), AI agents, and modern AI workflows into their existing applications.
Working Professionals & Career Switchers – Suitable for professionals who want to upskill, transition into AI-focused software engineering roles, or stay ahead with the latest Generative AI technologies.

Lessons of the Course

MODULE 1: AI DEVELOPER FOUNDATIONS

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AI-First Software Development Foundations

Objective: Learn how modern software engineers build applications using AI

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Core Topics

AI-First Software Development Workflow
Prompt Engineering for Developers
Vibe Coding Methodology
Cursor AI, Claude Code, and GitHub Copilot
Effective AI Prompting Techniques
Debugging with AI
Git & GitHub Essentials

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Mini Project

Build a personal portfolio website entirely using AI

MODULE 2: FULL-STACK FUNDAMENTALS

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Modern Web Development Fundamentals

Objective: Learn only the fundamentals required to build modern applications

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Core Topics

HTML & CSS Basics
JavaScript Essentials
React Fundamentals
Node.js & Express
REST APIs
PostgreSQL
Authentication (JWT)

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Project

Build a Task Management Application

MODULE 3: BUILDING AI APPLICATIONS

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LLM Integration & AI Application Development

Objective: Integrate LLMs into real-world applications

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Core Topics

OpenAI APIs
Gemini APIs
AI Chat Applications
Prompt Chaining
Streaming Responses
Function Calling
Structured JSON Output
File Upload & Processing

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Project

Build an AI Content Assistant

MODULE 4: AGENTIC AI

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AI Agents & Intelligent Automation

Objective: Build AI systems capable of reasoning and automation

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Core Topics

Introduction to AI Agents
LangChain Fundamentals
AI Workflows
Memory Management
Tool Calling
Multi-Step Agents
MCP Basics

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Project

Build a Research Agent

MODULE 5: PRODUCTION ENGINEERING

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Deployment, DevOps & Cloud Operations

Objective: Learn how professionals deploy modern applications

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Core Topics

Docker
Cloud Deployment
CI/CD Basics
Environment Management
Logging
Error Handling
Monitoring
API Security

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Project

Deploy an AI application to the cloud

MODULE 6 : SYSTEM DESIGN FOR DEVELOPERS

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Software Architecture & System Design

Objective: Build strong engineering foundations for scalable software systems

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Core Topics

Client-Server Architecture
APIs
Databases
Authentication
Caching
Scalability Basics
Load Balancing
Background Jobs
Designing AI Applications

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Workshop

Design an AI SaaS platform

MODULE 7 : CAPSTONE PROJECT

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Capstone Project: Production-Ready AI Application

Build a complete production-ready AI application from planning to deployment
Example Projects:
- AI CRM
- AI LMS
- AI SEO Platform
- AI Resume Builder
- AI Customer Support Agent

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Project Deliverables

GitHub Repository
Cloud Deployment
Complete Documentation
Architecture Diagram
Live Demo

MODULE 8 : CAREER ACCELERATOR

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Career Readiness & Interview Preparation

Objective: Prepare students for internships and full-time software engineering and AI roles

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Core Topics

Resume Building
LinkedIn Optimization
GitHub Portfolio Development
Technical Interview Preparation
JavaScript Interview Questions
React Interview Questions
Node.js Interview Questions
AI Engineering Interview Preparation
Mock Interviews
HR Interview Preparation

What Our Students Say

Man standing outdoors in a green mountainous landscape, wearing a blue sleeveless jacket and jeans.

Learning MERN Stack at Excendra was transformative. Practical projects, clear explanations, and industry-focused mentorship helped me develop strong full-stack skills and confidence to build professional applications.

Mehran Muzaffar Software Developer COMTECH GROUP

I completed Full Stack Development training at Excendra. Practical projects and clear teaching built my skills and confidence. With their support, I secured a job soon after the course and recommend Excendra for tech career.

Hurain Javaid Software Engineer Sun-Net Inc.

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This course includes:

₹4,999

₹10,000

GEN AI FULL-STACK DEVELOPMENT INTERNSHIP

Gain real-world Generative AI development experience by building production-ready applications under expert mentorship with industry-standard tools and workflows.