Generative AI Internship

Internship with Hands-On AI Product Development | Live AI Projects | Industry-Focused Training

Learn how to design, build, and deploy real Generative AI applications using modern AI tools, APIs, and full-stack integration — exactly how today’s IT companies expect.

Training cum Internship with Real-World Generative AI Projects | AI Product Portfolio | Internship Certificate

Build AI-powered applications, not just prompts

Develop AI Chatbots, Content Engines & Automation Tools

Duration: Choose Your Internship Duration —

1, 2, 3, 4, 5, or 6 Months (Online & Remote)

Stipend Given – Check Internship Overview

Industry recognized certificate

Why This Generative AI Internship?

Generative AI is transforming every industry — from startups to MNCs. This internship is designed to not just teach theory, but to help you:

✅ Build real AI-powered products ✅ Work on industry-level client projects ✅ Learn tools used by AI engineers at top companies ✅ Become job & freelance ready

Phase 1: Initial 15-Day Training & Onboarding

You will start with a focused 15-day training period, guided by experienced mentors and our support team. This phase helps you build core Full Stack Web Development + AI skills, required to work on real client projects.

Phase 2: Paid Client Project Work (Stipend Starts)

After successful completion of training, you will be assigned to AI-powered live client projects.

✔ From this stage, stipend will be provided ✔ Stipend is performance-based and task-driven

Stipend Range:

₹10,000 – ₹16,000 per month (Based on project complexity, task completion, and performance evaluation)

🏦 Stipend Payment & Management

Our Accounts & Support Team ensures smooth and timely stipend processing. You will be asked to submit your bank or UPI details once you become eligible for stipend payouts.

What You Will Learn & Implement on Real Project

Industry recognized certificate

🔹 Phase 1: Foundations of Generative AI

• Introduction to AI, ML & Generative AI
• How ChatGPT, Gemini, Claude work
• Types of Generative Models
• Use-cases across industries (HR, Marketing, Healthcare, Finance)

🔹 Phase 2: Python for AI (Practical Focus)

• Python basics for AI
• Working with APIs
• JSON, requests, environment variables
• Writing clean & production-ready Python code

🔹 Phase 3: Prompt Engineering (Advanced)

• Prompt design principles
• Zero-shot, Few-shot & Chain-of-Thought prompting
• Role-based prompts
• Prompt optimization techniques
• Prompt testing & evaluation
• Building reusable prompt templates

🛠 Hands-on: Build prompt systems for real businesses

🔹 Phase 4: Large Language Models (LLMs)

• Understanding LLM architecture (high-level)
• Tokens, embeddings, temperature, top-p
• OpenAI API / Gemini API / Claude API
• Cost optimization & rate limits
• Fine-tuning vs RAG (Retrieval Augmented Generation)

🔹 Phase 5: Vector Databases & RAG

• What is RAG & why it matters
• Embeddings explained simply
• Vector databases (Pinecone / FAISS / ChromaDB)
• Uploading PDFs, Docs, CSVs
• Building AI that answers from custom data

🛠 Hands-on: AI chatbot trained on company documents

🔹 Phase 6: AI Product Development

• Designing AI workflows
• AI + Backend integration
• Error handling & safety
• Logging & monitoring AI responses
• Scaling AI applications

🔹 Phase 7: No-Code & Low-Code AI Tools

• LangChain basics
• AI Agents introduction
• Automation using AI
• Connecting AI with websites & apps

🔹 Phase 8: Deployment & Real-World Usage

• Deploying AI apps
• API hosting
• Basic cloud concepts
• Making AI products usable by real users

REAL CLIENT PROJECTS

✅ Project 1: AI Customer Support Chatbot

• - Trained on business FAQs & documents
• Website-integrated chatbot
• Used by real users

✅ Project 2: Resume Analyzer & Job Matcher (HR Tech)

• - Upload resume → AI analysis
• Skill gap detection
• Job matching recommendations

✅ Project 3: AI Content Generator for Businesses

• - Marketing content generation
• Social media captions
• SEO blogs & email copy
• Prompt optimization for brands

✅ Project 4: AI PDF / Document Assistant

• - Upload PDFs
• Ask questions from documents
• Used for legal, education & corporate use

Internship Flow (Very Important)

Step 1:

15-Day Structured Training & Onboarding (Learn Generative AI Concepts)

Step 2:

Work on AI-Powered Live Client Projects

Step 3:

Performance Review → Stipend Eligibility

Step 4:

Internship Certificate + LOR + Career Support

Generative AI Intern – Responsibilities

• - Build AI-powered applications like chatbots, content generators, and AI assistants.
• Work with Generative AI tools and APIs (such as ChatGPT, Gemini, etc.) to solve real problems.
• Create and improve prompts to get accurate and useful responses from AI models.
• Use company documents or data to train AI systems using RAG and embeddings.
• Test AI outputs, fix errors, and improve performance and response quality.
• Document work, collaborate with mentors, and support real or simulated client projects.

Internship Highlights

Performance-Based Stipend

Work on real projects and earn a monthly stipend of ₹10,000 – ₹16,000 based on your performance and task completion.

Real Project-Based Learning

You won’t just learn theory. You’ll build real full stack websites and AI-powered applications used in actual projects.

Complete Gen AI Skills

Build AI-powered applications like chatbots, content generators, and AI assistants.

Mentorship by Industry Experts

Get personal guidance, code reviews, and feedback from experienced developers working in the IT industry.

Git & GitHub (Industry Workflow)

Learn how real developers write, manage, and collaborate on code using Git and GitHub.

Flexible Schedule

Learn at your own pace — no fixed wor