AI & ML Internship — Pluto Academy

// The Tech Stack

Real Tools.
Used by Real Companies.

Every tool in this internship is free. No paid subscriptions — ever. Run everything on Google Colab right from your browser.

🐍

Python

Core language for all AI/ML work. Variables, loops, functions, OOP — the foundation.

100% FREE

🐼

Pandas & NumPy

Load, clean, manipulate and analyse datasets. The most-used tools in every data role.

100% FREE

📊

Matplotlib & Seaborn

Create beautiful, professional charts — bar, line, scatter, histogram, heatmap.

100% FREE

⚙️

Scikit-learn

Train, evaluate, and compare ML models. Logistic Regression, Random Forest, KNN and more.

100% FREE

🧠

TensorFlow / Keras

Deep learning framework for building neural networks. Pre-installed on Google Colab.

100% FREE

☁️

Google Colab

Browser-based Python environment with free GPU. No installation. Works on any device.

100% FREE

📦

Kaggle

Download real-world datasets for both projects. Free account, thousands of datasets.

100% FREE

🐙

GitHub

Host your project notebooks. A public portfolio employers can visit right now.

100% FREE

// Your Work

Two Projects.
Both on Real Data.

Not tutorials. Not copy-paste exercises. You get a problem statement and build the solution from scratch — exactly like a real AI/ML team.

01

EDA & Insights Report

"You are a Data Analyst. Your manager has given you a real dataset. Find patterns, visualise the insights, and write a business report with 5 recommendations."

→ Load & clean dataset using Pandas

→ Answer 5 EDA questions with code & output

→ Create 6+ professional visualisations

→ Write 5 business insights in plain English

→ Push clean notebook to public GitHub

02

ML Model — Predict & Evaluate

"You are an ML Engineer. Build, train and evaluate 3 different ML models on real data. Compare their performance and justify which model wins."

→ Preprocess data & engineer features

→ Train 3 different ML algorithms

→ Compare all 3 using proper metrics

→ Show confusion matrix / residual plot

→ Write conclusion justifying best model

// Month Plan

Your 4-Week Journey

Self-paced. No fixed timings. Complete both projects within your 1-month window and submit via Google Form.

W1

// WEEK 01

Setup & Project 01 Start

Set up Google Colab, create Kaggle account, download your chosen dataset. Load, inspect, and clean the data. Begin EDA — answer the first 3 questions.

W2

// WEEK 02

Complete & Finalise Project 01

Finish remaining EDA questions, create all 6+ visualisations, write the 5-point Insights Report. Push clean notebook to a public GitHub repo.

W3

// WEEK 03

Build Project 02

Choose your ML dataset, preprocess and engineer features, train your first two ML models. Record evaluation metrics and start the comparison table.

W4

// WEEK 04

Evaluate, Submit & Get Certified

Train Model 3, build the full comparison table, generate confusion matrix, write conclusion. Push to GitHub, submit via Google Form, WhatsApp us — certificate in 48 hours.

// What You Get

Walk Away With More
Than a Certificate.

📓

2 Real Python Notebooks

Complete Colab notebooks with clean code, charts, and written analysis. Ready to show in interviews.

🐙

GitHub Portfolio

Two public repos with proper READMEs. The first thing companies check after your resume.

🏅

Verified Certificate

AI & ML Internship Certificate with a unique ID. Verifiable at plutoacademy.in/verify-certificates/

💬

Telegram Support

Dedicated support channel. Ask anything — dataset issues, model errors, concept doubts.

📍

100% Remote

Work from anywhere in India. No relocating, no fixed schedule. Just build and submit.

⚡

48-Hour Certificate

Projects evaluated within 48 hours. Certificate sent directly to your email and WhatsApp.

// Is This For You?

Built For Students Who
Want Real Experience.

🎓

CS / IT Students

BCA, B.Tech, MCA — add a real AI/ML internship before you graduate. Stand out from 90% of applicants.

📚

AI/ML Course Students

Already taking our AI/ML Course? This internship is the perfect next step — apply what you've learned on real data.

💻

Python Beginners

Know basic Python? That's enough. We give you the problem statement — Google Colab handles the setup.

🔄

Career Switchers

Moving into data or AI? A verified internship certificate adds serious credibility to your profile.

📍

Pan India

Fully remote. Apply from any state, any city. Work on your own schedule within the 1-month window.

🎯

Placement Seekers

Internship on resume + 2 ML projects on GitHub = a much stronger job application than 90% of candidates.

// Your Certificate

A Certificate That
Employers Respect.

Complete both projects and submit via Google Form. We evaluate your work and issue your AI & ML Internship Certificate within 48 hours.

🔍

Instantly Verifiable

Unique certificate ID verifiable at plutoacademy.in/verify-certificates/ — any employer can check in seconds.

🏛️

MSME Registered Issuer

Pluto Academy is officially MSME registered (UDYAM-RJ-06-0057331) — adds real credibility to your credential.

💼

LinkedIn & Resume Ready

High-quality PDF. Add to LinkedIn, attach to job applications, or share directly on WhatsApp.

AI/ML

PLUTO ACADEMY · MSME UDYAM-RJ-06-0057331

CERTIFICATE

OF COMPLETION

THIS IS TO CERTIFY THAT

Your Name

has successfully completed the
AI & ML Internship Program
at Pluto Academy

INSTRUCTOR

Shobhita B

PLUTO
ACADEMY

CERT ID

PA-AIML-####

// Process

5 Steps to Get Certified

01

💳

Enroll

Pay ₹99 and complete enrollment.

02

📄

Get Brief

Receive project brief PDF and Telegram access.

03

💻

Build Projects

Build both Python projects within 1 month.

04

📤

Submit

Submit via Google Form + WhatsApp us.

05

🏅

Get Certified

Certificate sent to email in 48 hours.

// Questions

Frequently Asked

Basic Python knowledge is recommended — variables, loops, and functions. You do not need prior knowledge of machine learning or data science. All tools are pre-installed on Google Colab and we give you step-by-step project briefs. If you have completed our AI/ML Course, you are fully prepared.

Nothing. All tools — Python, Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow — are pre-installed on Google Colab which runs completely in your browser for free. You just need a Google account and internet connection.

1 month from your enrollment date. There are no fixed daily timings — work at your own pace. Both projects must be submitted together via the Google Form before your month ends. Our recommended plan is Week 1-2 for Project 01 and Week 3-4 for Project 02.

Submit both projects together at the end of your 1-month window using our Google Form — forms.gle/AVjDk51he5zYAHWY7. Include your GitHub repo links and Google Colab notebook links. After submitting, WhatsApp +91 7597129727 with your name to trigger evaluation.

We evaluate your submitted projects and send the AI & ML Internship Certificate directly to your email and WhatsApp within 48 hours. The certificate has a unique ID verifiable at plutoacademy.in/verify-certificates/

You have access to our Telegram support channel where you can ask questions anytime. You can also reach us on WhatsApp at +91 7597129727 or email plutoacademy1527@gmail.com. We are here to help — not to watch you fail alone.

Each project is evaluated out of 100 marks. You need a minimum of 60/100 on both to receive the certificate. If you score below 60 on either project, you get detailed feedback and one chance to resubmit within 5 days.

This is a self-paced internship — no live sessions, no fixed class timings. You receive a project brief PDF with everything you need, build both projects at your own pace within 1 month, and submit when done. Think of it as real work, not classes.

You may use AI tools to understand concepts and debug errors. But your analysis, code, and insights must be your own work. Submitting entirely AI-generated notebooks will be disqualified. The goal is to learn — using AI as a crutch defeats that purpose.

// Get in Touch