Aifullstack

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AI Fullstack Developer Training

This comprehensive training equips you with the skills to work on every layer of a development project, from initial setup to final deployment with AI.

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Course Detail

This segment ensures mastery of core development technologies:
Front-End Development: Building responsive user interfaces using HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js.
Back-End Development: Managing server-side logic, APIs, and business logic using languages/frameworks such as Node.js, Python (Django/Flask), or Java (Spring Boot).
Databases & DevOps: Working with SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases, along with understanding cloud deployment, Docker, and Git version control.

AI coding assistants: GitHub Copilot, Amazon CodeWhisperer, or ChatGPT.

Course Features

  • Instruct led interactive session
  • Access session recordings
  • Access session notes
  • Access E-Material
  • Access E-Materials
  • Periodic Assessment and Test
  • 120 Hours (54 Hours Instrector led)
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Basics: Introduction to programming logic, data structures, and algorithms (DSA).

Languages: Core programming with a focus on Python and/or Java, and JavaScript/TypeScript.

Tools: Version control using Git and GitHub for team collaboration and project management tools like Jira.

Web Fundamentals: HTML5, CSS3, and responsive design techniques like Flexbox, Grid, and frameworks such as Bootstrap or Tailwind CSS.

JavaScript: Core JavaScript (ES6+), DOM manipulation, events, asynchronous programming (Promises, Async/Await), and client-side storage.

Frameworks: Building single-page applications (SPAs) using modern libraries/frameworks such as React.js or Angular, including state management (Redux/Context API) and routing.

Server-Side Logic: Developing server-side applications and RESTful APIs using technologies like Node.js/Express.js, Python (Django/Flask), or Java (Spring Boot) or C# (ASP.NET) or PHP (LARAVAL).

Databases: Managing both relational (SQL, PostgreSQL, MySQL) and non-relational (NoSQL, MongoDB) databases, including schema design and CRUD operations.

API Security: Implementing authentication and authorization using methods like JWT or OAuth.

AI, Machine Learning & Automation 

Generative AI Practices: Utilizing AI tools for code generation, smart code completion, automated testing and debugging, and prompt engineering.

AI/ML Fundamentals: Core concepts of AI and machine learning, including model types (training vs. inference), neural networks, and natural language processing (NLP) basics.

AI Integration: Learning to use AI services and APIs (e.g., OpenAI APIs, TensorFlow.js) to integrate intelligent features into web applications.

Projects: Hands-on industry projects and a final capstone project to build a portfolio of AI-powered applications (e.g., a sentiment analyzer web app, a hotel booking system with AI search).

Cloud Deployment: Hosting applications on cloud platforms like AWS, Azure, or DigitalOcean.

Containerization: Using Docker and Kubernetes for efficient application deployment and orchestration.

A strong UI/UX project typically involves a full case study that outlines the problem, user research, design process, and final solution.

  • E-Commerce App Redesign: Redesign an existing e-commerce app (e.g., a small local store) to improve the user flow, search functionality, and checkout process.
  • Health & Fitness Tracker: Design a mobile app that helps users track workouts, monitor progress, and set personalized goals. This involves creating a good user journey map and intuitive data visualization.
  • AI-Powered Educational Platform: Create an educational website or app that uses AI to provide a personalized learning path or an AI tutor.
  • Smart Home Interface: Design a user interface for managing smart home devices that simplifies complex controls into an intuitive dashboard.
  • Local Event Finder Web App: A platform where users can discover and RSVP to local events, focusing on seamless navigation and filtering options.
  • Mental Health/Wellness App: A sensitive project focusing on creating a supportive and calming interface for a wellness or mindfulness application. 

A full stack project is a complete software application where a single developer or team builds both the front-end (what the user sees) and the back-end (the server, database, and logic).
Building a full stack project demonstrates the ability to manage every layer of development, from user interface design to final deployment. Full stack projects can range from basic applications for beginners to complex, production-ready systems. 
E-commerce Platform: A robust online store that includes product listings, categories, user authentication, a shopping cart, and payment gateway integration (e.g., Stripe, Razorpay). This demonstrates handling of complex business logic and secure transactions.
Real-time Chat Application: A messaging app using WebSockets (like Socket.io) to handle instant, bidirectional communication. This highlights skills in real-time functionality and data management.
Content Management System (CMS): Build your own version of WordPress or a blogging platform where an admin can create, edit, and publish content. This project showcases dynamic content handling and user role management.
Project Management Tool: A Kanban board-style application (similar to Trello) that tracks tasks, deadlines, and team collaboration. This involves complex state management and database relationships.
Personalized Healthcare Dashboard: A secure application for tracking health metrics, managing appointments, or tracking fitness data using third-party APIs (like Fitbit or HealthKit). This emphasizes secure data handling and data visualization. 

Common Technology Stacks
Developers often use a “stack” of complementary technologies to build these applications: 
MERN/MEAN Stack: Uses MongoDB (database), Express.js (back-end framework), React.js or Angular.js (front-end framework), and Node.js (back-end runtime).
LAMP Stack: A classic stack using Linux, Apache, MySQL, and PHP.
Python/Django Stack: Involves Python on the back-end with frameworks like Django or Flask, combined with a modern front-end library like React or Vue. 
A strong full stack project should not just be functional on your local machine; it should be deployed to a cloud platform (like Vercel, Netlify, or AWS), have clean documentation, and include essential features like authentication and error handling. 

Feature Courses:

PROMPT ENGINEERING

Talking to AI for a desired task through code, content or images

Gen AI, Core Prompt Techniques, COT, TOT, RAG, AI Tools and Libray, Testing and Evaluation, LLMOps

₹ 32000

AI FULLSTACK DEVELOPER

Skill set to design, develop, and deploy an entire web application

UI/UX:HTML,CSS,BS,JS,React,Angular Back End: C# – ASP.NET, Python, Java Spring Boot, SQL. AI Tools.

₹62000

AGENTIC AI DEVELOPER

Develops goal oriented and self sufficient AI Agents. AI Autonomous

Agent design, LangChain, CrewAI, AutoGen, and LangGraph, RAG, AgentOPs, Ethical AI.

₹82000

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  • The future workforce will not lose their jobs to AI, but to people who know how to use AI. Our mission is to equip every aspiring engineer with the practical expertise and global certifications required to become the indispensable ‘AI whisperers’ of tomorrow’s major companies
    Kannan Madhesan
    Founder and CEO
Diverse Curiculum

National and International curriculum  provides a direct pathway to achieving globally recognized certifications and securing desirable career placements.

Expert Instructors

The Instructor are active industry professionals who apply their skills daily. They provide current, real-world practical insights that prepare learners for actual job demands.

AI Enabled Learning

Interactive live sessions with hands-on, live practical, leveraging modern digital tools and AI- automation for seamless learning, assessment, and support.

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