Growskill IT Presents
Next-Gen Full Stack Developer (Powered by AI)Fuel Digital Transformation with
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 !
Talk to our Academic Advisors
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.
1AI Stack Pro
From Python basics to Full Stack & GenAI mastery-guaranteed Outcome*
Full Stack Python Development with
Gen AI 22 Weeks (5.5 Months)
2AgentCraft
Build real-world GenAI apps from scratch using Python, LangChain, and full stack tools guaranteed Outcome*
Full Stack Python Development with Gen AI + Agentic AI _ Langchain 34 Weeks (8.5 Months)
3DeepStack 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
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.
