Courses/Full Stack Development

Full Stack DevelopmentBestsellerNew

FullStack with AIML

Name: FullStack with AIML
Rating: 0 (0 reviews)

Developer pro with Fullstack using Fully features of AIML with python

New course — be the first to review90 DaysBeginnerHindi + English

Anuj Bisariya

Full Stack Developer

Overview

Learn the Any full stack Like MEAN / MERN or Python Backend with any Frontend using AIML indetailed.

Skills You'll Learn

Full-stack development with React/Next.js & Node.js

REST API design & database modeling

Python for AI/ML with scikit-learn

Integrating LLM APIs into real products

Retrieval-Augmented Generation (RAG) basics

Authentication & payment integration

Cloud deployment of full-stack + AI systems

System design for AI-powered products

Prerequisites

Basic programming knowledge in any language (JavaScript or Python preferred)
Familiarity with HTML/CSS is helpful but not required
A laptop capable of running Node.js and Python

Course Roadmap

Module 1

Modules 1–3: Full-Stack Foundations → Python for AI/ML

The full-stack backbone for the whole program. Build the data layer of a real product. The AI foundation layered onto full-stack skills.

Module 2

Modules 4–6: Integrating AI into Full-Stack Apps → Authentication & Payments

Where full-stack meets AI in real products. Add modern AI features confidently. The features every real SaaS needs.

Module 3

Modules 7–9: Cloud Deployment → System Design for AI Products

Ship the platform, not just the code. Keep AI features reliable after launch. Think like an architect, not just a coder.

Module 4

Modules 10–12: Testing & Quality → Capstone: AI-Powered SaaS Product

Ship AI features you can trust. Work the way a real product team works. Your complete, portfolio-defining project.

Course Curriculum

12 modules · 13 quizzes

Modern full-stack architecture
Frontend: React/Next.js essentials
Backend: Node.js/Express essentials

Relational/NoSQL modeling
REST API design
Authentication basics

NumPy, Pandas & scikit-learn
Core ML workflow
Model evaluation

Serving a model via an API
Calling LLM APIs from the frontend
Prompt-driven features

LLM API integration
Function calling
RAG basics

Auth.js/NextAuth
Stripe/Razorpay integration
Role-based access

Deploying frontend & backend
Environment configuration
CI basics

Model versioning basics
Monitoring a deployed model
Retraining triggers (conceptual)

Designing an AI-powered feature
Scaling considerations
Cost & latency tradeoffs

Testing full-stack apps
Testing AI-powered features
CI test automation

Git workflow at scale
Code review practices
Documentation habits

Planning the capstone
Building end-to-end
Launch & demo

Projects

AI-Powered SaaS Platform

A full SaaS product with auth, payments, and an integrated AI feature.

Next.jsNode.jsLLM APIsStripe

AI Content/Analytics Dashboard

A dashboard combining real data with AI-generated summaries.

ReactPythonLLM APIs

Recommendation Engine + Web App

A full-stack app with a real ML-based recommendation feature.

scikit-learnNode.js

RAG-Powered Support Assistant

A support assistant integrated into a full-stack product.

LangChainNext.js

Capstone: End-to-End AI SaaS

The complete final capstone: full-stack + AI + deployed + demoed.

Full StackAI/ML

Assignments

Design a Full-Stack Architecture

Medium

Plan the architecture for an AI-powered feature.

Build & Serve an ML Model

Medium

Train a model and serve it via an API endpoint.

Integrate an LLM Feature

Hard

Add one working AI feature to a full-stack app.

Add Auth & Payments

Hard

Implement authentication and a payment flow.

Deploy the Full Platform

Hard

Deploy frontend, backend, and AI service together.

System Design Write-Up

Hard

Design an AI product’s architecture on paper, with tradeoffs.

Capstone Milestone Reviews

Hard

Present progress at 3 capstone checkpoints.

Final Capstone Demo

Hard

Present and demo the finished AI-powered SaaS product.

Meet Your Instructor

Anuj Bisariya

Full Stack Developer

10+ Years of Experience in Python, RAG/LLM, AWS/Azure etc.

Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000

Your Name Here

Successfully completed the Full Stack with AIML & Python at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”

ISSUING DATE - 27TH MARCH, 2026

Certified Fullstack AIML developer

Student Reviews

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.

Aarush Rai

B.Tech / AI-ML

I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.

Divyanshu Mishra

B.Tech / AI-ML

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.