D24
Web DevelopmentAdvanced10 weeks
AI Full Stack Development
AI Full Stack Development is a 10-week advanced course teaching developers who already know full-stack basics how to integrate real AI features into a product: calling LLM APIs from a Node/Express backend, streaming responses to a React frontend, building RAG search over your own data, and wiring an AI agent into your app's own APIs — including auth, rate limiting, and deployment for AI-powered features.
Build production web applications with real AI features baked in — streaming LLM responses, RAG-powered search, and AI agents wired into your own React frontend and Node backend.
What you'll learn
Calling and streaming LLM responses through a full-stack app
Building RAG search grounded in your own application data
Wiring an AI agent into your app's own APIs, not just a chat window
Auth, rate limiting, cost control, and deployment for AI features
Course details
Duration
10 weeks
Best for
Developers who already know full-stack basics and want to ship real AI-powered features
Compare enrollment modes
| Mode | Price | What you get |
|---|---|---|
| Live Class | ₹4,999 | Instructor-led live cohort with doubt-clearing sessions — includes both the course and internship certificates. |
| Recorded Batch | ₹2,999 | Full recordings of a completed live batch — includes both the course and internship certificates. |
| Internship | ₹2,499 | Work through real projects with our team and earn an internship certificate (course certificate not included). |
| Self-Paced | ₹1,999 | Learn anytime with the full recorded curriculum and community access. |
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in AI Full Stack Development.
01Getting Started & Environment Setup
3 topicsWeeks 1–2
- Setting up a Node/Express + React project with an LLM provider API key
- Installing a vector database (or a free-tier hosted option) for later RAG work
- Verifying the setup with a first API call end-to-end
02Basic
3 topicsWeek 3
- Where AI features fit in a full-stack architecture: API routes vs. direct client calls
- Calling an LLM API securely from a Node/Express backend
- Handling AI API errors, timeouts, and retries gracefully
03Intermediate
3 topicsWeeks 4–5
- Streaming AI responses to a React frontend token by token
- Prompt engineering inside a real application: system prompts and user input handling
- Structured output and function calling from an LLM
04Advanced
4 topicsWeeks 6–7
- RAG in a full-stack app: embedding pipeline, vector store, and retrieval endpoint
- Building a chat UI in React that cites its sources
- File upload and embedding pipeline for user-provided documents
- Rate limiting and cost control for AI features
05Pro
4 topicsWeek 8
- Building an AI agent feature that calls your app's own internal APIs as tools
- Auth and per-user usage scoping for AI features
- Testing and evaluating AI features beyond "it looks right"
- Deploying an AI-integrated full-stack application
06AI Pro
3 topicsWeeks 9–10
- Using Claude, ChatGPT, and Perplexity to build AI-integrated features faster
- Verifying AI-generated integration code before trusting it in production
- Project: A deployed full-stack feature with a working RAG or agent capability, source citations, and basic usage limits
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
React
NodNode.js & Express
LanLangChain
VecVector Database
ClaClaude / ChatGPT
Docker
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
A streaming AI chat feature integrated into an existing full-stack app
A RAG-powered search feature grounded in uploaded documents, with source citations
An AI agent feature that can call your app's own APIs to take real actions
A deployed capstone combining streaming responses, RAG, and basic usage limits
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in AI Full Stack Development get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, AI Full Stack Development, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track.
Course Completion Certificate
Sample
Data24ZoneCertificate of Completion
Your Name Here
has successfully completed the
AI Full Stack Development
Certificate No.
D24-SAMPLE
Mode
Self-Paced
Duration
10 weeks
Issued On
On completion
Scan to verify
Sample only — not a real, issued certificate.
Internship Completion Certificate
Sample
Data24ZoneCertificate of Internship
Your Name Here
has successfully completed a project-based internship in
AI Full Stack Development
Certificate No.
D24-SAMPLE
Mode
Internship
Duration
10 weeks
Issued On
On completion
Scan to verify
Sample only — not a real, issued certificate.
Frequently Asked Questions
What will I learn in the AI Full Stack Development course?
You'll learn: Calling and streaming LLM responses through a full-stack app; Building RAG search grounded in your own application data; Wiring an AI agent into your app's own APIs, not just a chat window; Auth, rate limiting, cost control, and deployment for AI features.
What tools and technologies does the AI Full Stack Development course cover?
This course covers: React, Node.js & Express, LangChain, Vector Database, Claude / ChatGPT, Docker.
Is the AI Full Stack Development course beginner-friendly?
This is a advanced-level course. It still starts with a "Getting Started & Environment Setup" module covering tool installation, but assumes some prior familiarity with the subject.
How long does the AI Full Stack Development course take to complete?
The course is designed to be completed in approximately 10 weeks, depending on your pace.
What enrollment options are available for AI Full Stack Development?
Live Class (₹4,999) — Instructor-led live cohort with doubt-clearing sessions — includes both the course and internship certificates. Recorded Batch (₹2,999) — Full recordings of a completed live batch — includes both the course and internship certificates. Internship (₹2,499) — Work through real projects with our team and earn an internship certificate (course certificate not included). Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for AI Full Stack Development?
Yes — enrolling in the Internship track (or the Live/Recorded tracks, which include it) means working through real projects with our team and earning a separate Internship Certificate, in addition to the course completion certificate for Live/Recorded enrollments.
Will I get a certificate after completing AI Full Stack Development?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Live and Recorded enrollments earn both. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile.
What kind of projects will I build in AI Full Stack Development?
You'll work on real projects such as: A streaming AI chat feature integrated into an existing full-stack app; A RAG-powered search feature grounded in uploaded documents, with source citations; An AI agent feature that can call your app's own APIs to take real actions; A deployed capstone combining streaming responses, RAG, and basic usage limits.
Is placement support included with AI Full Stack Development?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
