Advanced AI Program — New 2025

Machine Learning
Internship in Madurai

Build Machine Learning using Python, LangChain and Gemini API at Webgapp, Madurai. Not theory — you deploy a live AI system that thinks, decides and acts on its own. Students join from Chennai, Coimbatore, Trichy, Dindigul and across Tamil Nadu.

✓ 1 Month Hands-On
✓ Live AI Agent Deployed
✓ Internship Certificate
✓ LangChain + Gemini API
✓ Limited Seats
382+
Students trained
4.8★
Google rating
10+
Years experience
22
Max batch size
What is this programme

What is Machine Learning?

Machine Learning is a branch of AI where computers learn from data to make predictions and decisions without being explicitly programmed for each situation. At Webgapp you learn ML by building real prediction models — student performance predictor, disease risk classifier, price estimator — using Python and Scikit-learn. Python knowledge is required before joining this programme.

Why this skill in 2025? Companies are moving from simple AI chatbots to full AI agent systems that can search the internet, query databases, write code and execute tasks automatically. Professionals who can build these systems are the most in-demand AI talent right now — with very few trained people available in Tamil Nadu.
📊
Data Analysis
Before building models you analyse the data. You use Pandas and NumPy to load, clean and explore datasets — finding patterns and understanding the data.
🧪
Model Training
You train classification and regression models using Scikit-learn. You split data into training and testing sets and measure how well your model performs.
📈
Model Evaluation
Accuracy, F1 score, confusion matrix, ROC curve — you learn how to properly evaluate a model and compare multiple algorithms to find the best one.
🚀
Deployment
Convert the trained model into a Streamlit web application where users can input data and get AI predictions in real time. Deployed on Streamlit Cloud.
Week by week plan

1 month Curriculum — What You Build Each Week

Every day your team teaches for 45 minutes then you build. By week 4 you have a deployed live AI agent application.

W1
Data Analysis Foundation
Pandas, NumPy, Matplotlib, exploratory data analysis
+
  • Pandas — load CSV dataset, explore structure, check for missing values.
  • Data cleaning — handle missing values, remove duplicates, fix data types.
  • NumPy — numerical operations, array manipulation, statistical functions.
  • Matplotlib and Seaborn — create charts to visualise data patterns.
  • Exploratory Data Analysis — find correlations and key patterns in data.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
W2
Machine Learning Models
Regression, classification, Scikit-learn, evaluation
+
  • What is ML — supervised vs unsupervised, training vs testing split.
  • Linear Regression — predict a continuous value from input features.
  • Classification — Logistic Regression, Decision Tree — predict categories.
  • Model evaluation — accuracy, F1 score, confusion matrix, ROC curve.
  • Random Forest and XGBoost — compare with previous models, pick the best.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
W3
Feature Engineering and Model Improvement
Feature selection, hyperparameter tuning, SHAP
+
  • Feature engineering — create new features from existing data to improve model.
  • Hyperparameter tuning — use GridSearchCV to find optimal model settings.
  • SHAP values — understand why the model made each prediction.
  • Handle class imbalance — SMOTE technique for skewed datasets.
  • Mid review — team reviews all models and code, gives written feedback.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
W4
Streamlit App and Deployment
Build prediction interface, deploy, final demo
+
  • Build Streamlit app — user inputs features, model predicts in real time.
  • Add charts and model performance metrics to the dashboard.
  • Save model using joblib — load saved model in Streamlit app.
  • Deploy to Streamlit Cloud — live URL, test on multiple devices.
  • Final day — demo complete ML application, receive 3 certificates.
✅ Week outcome — working agent that calls the Gemini API and uses one tool, pushed to GitHub
Your takeaways

What You Walk Out With on the Last Day

Not promises — this is what every intern before you already received.

Live ML prediction application on Streamlit Cloud
Trained ML model with evaluation metrics
GitHub repository under Webgapp organisation
Internship Certificate from Webgapp
Internship Certificate accepted by all affiliated colleges and universities
Training Assessment Certificate
Resume line — ML Developer Intern, Python Scikit-learn, Webgapp Madurai
College submission pack
Where this takes you

Career Path After Machine Learning Internship

AI Agent Development is among the highest-paid and fastest-growing roles in India's technology sector in 2025.

🧑‍💻 ML Engineer
Builds and deploys machine learning models for products
₹5 LPA – ₹18 LPA
🧑‍💻 Data Scientist
Analyses data and builds predictive models for business insights
₹5 LPA – ₹20 LPA
🧑‍💻 AI Developer
Combines ML and AI APIs to build intelligent applications
₹5 LPA – ₹18 LPA
🧑‍💻 Research Engineer
Develops and experiments with new ML approaches
₹6 LPA – ₹22 LPA
Technology stack

Tools You Will Use in This Internship

All tools are free or have free tiers. No paid software required.

💻
Python
XGBoost, Streamlit
💻
Pandas
SHAP, Git + GitHub
💻
NumPy
Matplotlib, Streamlit Cloud
💻
Scikit-learn
Seaborn
Why this programme

Machine Learning Internship vs Regular AI Internship

Understand what makes this programme different from a standard AI or Python internship.

Feature Regular AI Internship Machine Learning — Webgapp
What you build ML model or basic chatbot Autonomous AI agent with tools and memory
Technologies taught Scikit-learn, pandas, theory LangChain, Gemini API, ChromaDB, Streamlit
Live deployment Rarely Yes — Streamlit Cloud with public URL
GitHub portfolio Usually not tracked Under Webgapp org — 20+ daily commits
Industry demand 2025 Medium Highest — very few trained professionals
Salary range ₹3–8 LPA ₹5–30 LPA
Certificates 1 generic certificate 3 certificates + Letter of Recommendation
Project shows to HOD Theory project / notebook Live running AI agent — opens on any browser
Student reviews

What Our Students Say About Webgapp

4.8★ rated by 382 students on Google — Madurai's most reviewed internship training company.

4.8
★★★★★
Based on 382 Google reviews
GST Registered · ISO Certified · 10+ Years · Madurai, Tamil Nadu
★★★★★
"My internship at Webgapp provided me with strong practical knowledge. The guidance and support from the mentors were excellent, making complex concepts easy to understand. This internship significantly enhanced my skills and boosted my confidence."
RR
Rithanya Raja
Web Development Intern
★★★★★
"I completed my internship in Python and learned basic programming concepts. It helped me improve my coding skills and understand how Python is used in practical applications. Overall, it was a good learning experience."
RU
Rubina R
Python Intern
★★★★★
"I recently completed my internship at Webgapp, and it was a very good learning experience for me. The team was supportive and the projects were practical and relevant to the industry."
HA
Harini
Web Development Intern
Read all 382 student reviews on Google
Got questions?

Frequently Asked Questions

Everything you need to know about the AI Agent Development internship at Webgapp.

What knowledge do I need before joining ML internship?

You need solid Python knowledge — functions, lists, dictionaries, file handling. Completing the Webgapp Python internship before this is strongly recommended. No prior ML or math knowledge required.

What ML models will I learn? +

Linear Regression, Logistic Regression, Decision Tree, Random Forest and XGBoost. You compare all of them on the same dataset and understand when to use which model.

What will I build? +

A complete ML pipeline — data loading, cleaning, analysis, model training, evaluation and a Streamlit web app where users input data and get real-time AI predictions. Deployed live on Streamlit Cloud.

What certificate do I get? +

Three certificates — Internship Certificate from Webgapp, Internship Certificate accepted by all affiliated colleges and universities, and Training Assessment Certificate.

Is Machine Learning in demand? +

Yes. ML and AI skills are the most in-demand and highest-paying technology skills in India in 2025. Companies across banking, healthcare, e-commerce and manufacturing are actively hiring ML engineers.

What is the fee for ML internship? +

The registration fee for 1-month Machine Learning internship is Rs.3,540. A 3-month advanced programme is also available. Contact us for current batch details.

Also available

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💬
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🔍
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Apply for Machine Learning Internship

Limited seats per batch · Max 22 students · Morning and afternoon slots · Madurai

Call / WhatsApp
+91 97879 68375 (Mr. Subash)
+91 74187 75297 (Ms. Vaishnavi)
Address
1st Floor, AJ Complex
Bye-pass Road, PRC Depo Opp
Madurai, Tamil Nadu 625010
Apply Now — Start Your AI Career
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