Next-Gen Full Stack Developer (Powered by AI)

Fuel Digital Transformation with
Generative AI

Future proof your career with Growskill IT immersive AI Program
built to turn ambition into expertise.

Our upcoming batch begins in july

Be part of our JULY batch – limited seats available !

Get expert academic guidance

Duration
12 Months

Personalized
Attention

Live
Classes

1:1
Mentorship

Project
Reviews

Career
Support

Hands-On
Coding

DSA + System
Design

Generative
AI Mastery

What's New

As the Industry Grows,
We Grow Stronger.

An AI-Powered Full Stack Engineer combines the capabilities of traditional full-stack development (front-end + back-end) with cutting-edge AI/ML integration skills. This hybrid role allows engineers to not only build and scale applications end-to-end but also embed intelligent features such as recommendation systems, natural language processing (NLP), and computer vision.

1 AI Stack Pro

From Python basics to Full Stack & GenAI mastery-guaranteed Outcome*

Full Stack Python Development with
Gen AI 22 Weeks (5.5 Months)

2 AgentCraft

Build real-world GenAI apps from scratch using Python, LangChain, and full stack toolsguaranteed Outcome*

Full Stack Python Development with Gen AI + Agentic AI _ Langchain 34 Weeks (8.5 Months)

3 DeepStack AI

Master Full Stack Python, Agent AI, LangChain, and System -guaranteed Outcome*

Full Stack Python Development with Gen AI + Agentic AI _ Langchain + Advance DSA_System Design 45 Weeks (11 Months)

Curriculum Overview

From Fundamentals to Future Skills All in One Place

Module 1 : Python + DSA + Backend Development

Duration : ~7 Weeks

Phase 1 : Python Fundamentals

Duration : 1 st - 2 nd Week
  Python Basics (Variables, Data Types, Operators, Loops)
  Functions, Recursion, Exception Handling & File Handling
  Objectriented Programming (OOP) & File Handling
  Python Libraries (NumPy, Pandas, Flask Basics)

Phase 2 : Data Structures & Algorithms (DSA)

Duration : 3 rd - 4 th Week
  Arrays, Strings, Linked Lists
  Stacks, Queues, Hashing
  Trees (Binary Trees, BST, AVL Trees)
  Graphs (DFS, BFS, Shortest Path Algorithms)
  Sorting & Searching Algorithms
  Dynamic Programming & Greedy Algorithms

Phase 3 : Backend Development

Duration : 5 th - 7 th Week
  Web Development Basics (HTTP, REST APIs)
  Database Management (SQL & NoSQL)
  Authentication & Authorization (OAuth, JWT, SSO)
  ORM, Caching, Performance Optimization
  Microservices Architecture & Deployment
  Final Project & Revision

Module 2 : Frontend + Full-Stack Integration

Duration : ~5 Weeks

Phase 1 : Frontend Development

Duration : 1 st - 3 rd Week
  HTML5 & CSS3 (Structure, Styling, Responsive Design)
  JavaScript Basics (DOM Manipulation, ES6 Features)
  Advanced JavaScript (Async/Await, Fetch API, Local Storage)
  Frontend Frameworks (React.js or Vue.js)
  State Management (Redux, Context API)
  UI Libraries & Component Design (Bootstrap, Tailwind CSS)

Phase 2 : Full-Stack Integration

Duration : 2 nd - 5 th Week
  Connecting Frontend & Backend (API Calls, Data Flow)
  Advanced Backend Features (Caching, WebSockets)
  Security Best Practices (CSRF, CORS, Encryption)
  Testing & Debugging (Unit Testing, Integration Testing)
  DevOps & CI/CD Pipelines
  Final Project Development (Building a Full-Stack App)

Module 3 : GenAI with GPT + Prompting

Duration : ~10 Weeks (2.5 Months)

Phase 1 : Introduction to Generative AI & GPT

Duration : 1 st - 3 rd Week
  Basics of AI, ML, and Deep Learning
  Understanding Large Language Models (LLMs)
  Introduction to GPT Models & Their Architecture
  Applications of Generative AI in Various Domains

Phase 2 : Prompt Engineering Fundamentals

Duration : 4 th - 6 th Week
  Basics of Prompting & Effective Prompt Design
  Optimizing Prompts for Better AI Responses
  Handsn Practice with GPT-based AI Tools
  Ethical Considerations & Bias in AI

Phase 3 : Building AI-Powered Applications

Duration : 7 th - 8 th Week
  Working with OpenAI API & Other AI Models
  Integrating GPT into Web Applications
  Fine-Tuning AI Models for Specific Use Cases
  Deploying AI Applications

Module 4 : Agents, LangChain, RAG, Memory Systems

Duration: ~12 Weeks

Phase 1 : Introduction to AI Agents & LangChain

Duration : 1 st - 3 rd Week
  Basics of AI Agents & Their Role in Automation
  Understanding LangChain & Its Components
  Building Simple AI Agents with LangChain
  Integrating External Tools & APIs with LangChain

Phase 2 : Retrieval-Augmented Generation (RAG) Fundamentals

Duration : 4 th - 6 th Week
  Introduction to RAG & Its Importance
  Setting Up Vector Databases for RAG
  Optimizing Retrieval for Better AI Responses
  Handsn Practice with RAG Pipelines

Phase 3 : Memory Systems & Advanced Agentic RAG

Duration : 7 th - 9 th Week
  Understanding Memory Systems in AI Agents
  Integrating GPT into Web Applications
  Dynamic Routing & Decision-Making in AI Agents

Phase 4 : Full-Stack AI Integration & Project Development

Duration : 10 th - 12 th Week
  Deploying AI Agents with LangChain
  Building a Full-Stack AI Application
  Final Project Development & Presentation

Module 5 : DSA Advanced + System Design

Duration: ~11 Weeks

Phase 1 Week 1-6: Advanced Data Structures & Algorithms (DSA)

Duration : 1 st - 6 th Week
  Arrays & Strings (Sliding Window, Two Pointer Techniques)
  Linked Lists (Singly, Doubly, Circular)
  Stacks & Queues (Monotonic Stack, LRU Cache)
  Hashing & Hash Tables (Collision Handling, Bloom Filters)
  Trees (Binary Trees, BST, AVL Trees, Segment Trees)
  Graphs (DFS, BFS, Shortest Path Algorithms, Topological Sorting)
  Sorting & Searching Algorithms (QuickSort, MergeSort, Binary Search Variants)
  Dynamic Programming (Knapsack, Matrix Chain Multiplication, LIS)
  Greedy Algorithms & Backtracking (Huffman Coding, N-Queens Problem)
  Time Complexity Analysis & Optimization Techniques

Phase 2 : System Design Basics

Duration : 7 th - 11 th Week
  Introduction to System Design (Scalability, Reliability, Maintainability)
  Load Balancing & Caching Strategies
  Database Design (SQL vs NoSQL, Indexing, Sharding)
  API Design
  Distributed Systems & Event-Driven Architecture
  Performance Optimization & Monitoring
  Case Studies on Real-World System Designs

Get Skilled

Technologies Covered in This Program

Hugging face

langchain

python

AWS

tensorflow

llamaindex

pytorch

Chatgpt

All in One Place

From Fundamentals to Future Skills

1. Full Stack Developer (Python)

Avg Salary (India): ₹6–12 LPA | Global: $60K–$100K

Skills Gained :

  Python, FastAPI, PostgreSQL

  REST APIs, GitHub CI/CD

  Auth, CRUD, DB schema design.

Proof of Work :

  Blog CMS

  Auth-enabled Job Tracker

  Deployed full-stack app

Typical Roles :

  Python Developer

  Python Backend Engineer

  Front-end Python Developer

  Junior Software Engineer

2. AI Developer / Generative AI Engineer

Avg Salary: ₹10–25 LPA | Global: $90K–$180K

Skills Gained :

  GPT-3.5/4 APIs, Claude, Cohere

  Prompt engineering (zero-shot, few-shot, CoT)

  OpenAI tool integrations

  LangChain, RAG, Agents, Memory

Proof of Work :

  GPT Resume Reviewer

  Multi-agent Research Assistant

  PDF-based Q&A System

  RAG-powered AI Assistant

Typical Roles :

  Generative AI Engineer

  LLM App Developer

  Prompt Engineer

  AI Solutions Developer

3. AI Agent Engineer / Tool Builder (LangChain + Agents)

Avg Salary: ₹12–30 LPA | Global: $100K+

Skills Gained :

  LangChain Chains, Tools, Agents

  FAISS/Chroma indexing

  CrewAI / AutoGen for multi-agent flows

  Context-aware memory and tool usage

Proof of Work :

  Multi-agent business planner

  Memory-enabled personal assistant

  Agent with live tools (calendar, documents)

Typical Roles :

  AI Agent Engineer

  AI Automation Engineer

  GPT/LLM Systems Developer

4. System Design + Backend Engineer

Avg Salary: ₹10–20 LPA

Skills Gained :

  High-level architecture design

  Caching, queuing, rate-limiting

  API gateways, load balancers

  Design for AI pipelines

Proof of Work :

  System Design Capstone

  AI platform infra design (agent + RAG + API)

Typical Roles :

  System Design Engineer

  Backend/Platform Engineer

  Cloud-native AI Infrastructure Developer

5. Freelance AI Tool/Chatbot Builder

Freelance Income: ₹1L–5L/month possible

Skills Gained :

  Low-code frontends (Streamlit, Gradio)

  Deploying apps (HuggingFace, Render, Vercel)

  Working with APIs + AI libraries

  Client delivery templates (Notion, Airtable, etc.)

Proof of Work :

  Portfolio of 5–10 working AI tools

  HuggingFace/Streamlit profiles

  Personal portfolio site + Notion templates

Typical Roles :

  Independent GenAI Consultant

  Indie Hacker / AI App Builder

  Upwork/Toptal AI Developer

6. AI Teaching Assistant / Research Intern (EdTech/Startups)

Ideal for Beginners / Career Switchers | ₹3–8 LPA

Skills Gained :

  Clear fundamentals in Python, DSA

  Ability to explain prompts, projects

  Building reusable learning tools

  Familiarity with AI/ML frameworks

Proof of Work :

  Resume Reviewer Bot

  LLM-powered learning tools

  Weekly GitHub commits & doc writing

Typical Roles :

  Course TA (Python, AI)

  AI Bootcamp Intern

  Research Assistant in AI Labs

Standing Out in the Industry

Built to Cover Every Angle of the Industry

Certificate of

Completion &
Referral Letters

Dedicated Placement

Coach &
Alumni Jobs Portal

1:1

Personalized Mentorship

from Industry Experts

Weekly Reading Guides,

AI Ethics & Safety Crash Course

Final Demo

Day (recorded & reviewed)

Learn Everything You Need
From Those Who Know It Best

Lifetime Discord Access + Dev

Tooling Templates
(Notion, GitHub Actions, Docs)

Real Skills. Real Experts.

One Complete Program.

Industry-Leading

Comprehensive Learning Designed

by Industry Leaders

Begin Your Transformation into an AI Professional

Turn Ambition into Achievement

Shape Tomorrow with the
Right Choices Today

Deep-Dive Sessions

Experience AI in Action : A Day of Problem-Solving, Mentorship & High-Impact Networking.

Step Into the AI World with a Full-Day Immersion: Hackathon, Mentorship & Leader Connect.

Real-World Encounters

Learn from the Best : Monthly AI Sessions Featuring Pioneers, Insights & Strategy Talks

Monthly Sessions with AI Leaders – Gain Deep Industry Insights and Career Guidance

Personal AI Mentorship

Tap into AI Expertise Monthly – Learn, Brainstorm, and Build Your Future

A Power-Packed Day of AI Challenges, Expert Guidance, and Networking with Industry Titans

Trainers

Learn directly from top AI experts and accelerate your skills and career growth.

Accelerate your AI journey with customized coaching from seasoned instructors.

Next-Gen Full Stack Developer
(Powered by AI)

Skills

Certification

Placement Support

1:1 Live Sessions

Career Guidance from Professionals

Speak with Our Admissions Team for Details on Fees & Financing