AI-ML Training & Internship – Academy

+91 9618692266

+91 9849602266
Working Hours

Mon - Fri: 9 am to 6 pm
SBR Gateway, HITEC City

Hyderabad, 500081

Join our Webinar

2 Months Program

Download Brochure

✅ Data Fundamentals
✅ Introduction to AI & ML
✅ Introduction to Python
✅ NumPy, Pandas,
✅ Data Cleaning
✅ Data Preparation
✅ Matplotlib Basics
✅ Statistics & Linear Algebra Basics
✅ Supervised vs Unsupervised Learning
✅ GitHub Basics
✅ Gen AI Fundamentals

✅ Regression Models
✅ Classification Algorithms
✅ Model Training
✅ Model Evaluation Techniques
✅ Testing
✅ Model validation, and test data sets
✅ Understanding overfitting
✅ Regularization methods like L2 (ridge) or L1 (lasso)
✅ Deployment Basics using Streamlit
✅ One-hot encoding

Feature Engineering
Performance Prediction
Churn Prediction
Claude, OpenAI
Deployment Basics using Streamlit

Real-World Project

✅Student Performance Prediction
✅House Price Prediction
✅Customer Churn Prediction

Deliverables

✅ Internship Certificate ✅ Project Completion Certificate ✅ GitHub Portfolio ✅ Resume Building Support

3 Months Program

Download Brochure

✅ Data Fundamentals
✅ Introduction to AI & ML
✅ Introduction to Python
✅ NumPy, Pandas,
✅ Data Cleaning
✅ Data Preparation
✅ Matplotlib Basics
✅ Statistics & Linear Algebra Basics
✅ Supervised vs Unsupervised Learning
✅ GitHub Basics
✅ Gen AI Fundamentals

✅ Regression Models
✅ Classification Algorithms
✅ Model Training
✅ Model Evaluation Techniques
✅ Testing
✅ Model validation, and test data sets
✅ Understanding overfitting
✅ Regularization methods like L2 (ridge) or L1 (lasso)
✅ Deployment Basics using Streamlit
✅ One-hot encoding

Feature Engineering
Performance Prediction
Churn Prediction
Claude, OpenAI
Deployment Basics using Streamlit

✅ Performance Prediction
✅ Property Price Prediction
✅ Customer Churn Prediction

Deliverables

✅ Dashboard Portfolio ✅ Internship Certificate ✅ LinkedIn Portfolio Guidance

6 Months Program

Download Brochure

✅ Data Fundamentals
✅ Introduction to AI & ML
✅ Introduction to Python
✅ NumPy, Pandas,
✅ Data Cleaning
✅ Data Preparation
✅ Matplotlib Basics
✅ Statistics & Linear Algebra Basics
✅ Supervised vs Unsupervised Learning
✅ GitHub Basics
✅ Gen AI Fundamentals

✅ Regression Models
✅ Classification Algorithms
✅ Model Training
✅ Model Evaluation Techniques
✅ Testing
✅ Model validation, and test data sets
✅ Understanding overfitting
✅ Regularization methods like L2 (ridge) or L1 (lasso)
✅ Deployment Basics using Streamlit
✅ One-hot encoding

✅ Interactive Dashboard Design
✅ Filters & Drilldowns
✅ Performance Optimization
✅ Dashboard Publishing

- ✅ Performance Prediction
- ✅Property Price Prediction
- ✅Customer Churn Prediction

Deliverables

✅ Dashboard Portfolio ✅ Internship Certificate ✅ LinkedIn Portfolio Guidance