)
3K+
Start Your Learning Journey Today
550+ Students Placed Every Month Be The Next!
Our Hiring Partners
Curriculam Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
-
30+ Case Studies & Projects
-
9+ Engaging Projects
-
10+ Years Of Experience
Open Nebula Training Projects
Become a Open Nebula Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Data Analysis with Python
Perform data cleaning and preprocessing using Pandas and NumPy. Analyze structured datasets and generate meaningful insights. Apply basic statistics and visualization.
Exploratory Data Analysis (EDA) Project
Work on real datasets to identify trends and patterns. Handle missing values and outliers effectively. Create visual dashboards using Matplotlib and Seaborn.
Basic Machine Learning Model
Build regression or classification models. Implement Linear Regression and Logistic Regression. Evaluate models using accuracy and performance metrics. Deploy a simple predictive analytics.
Customer Segmentation using ML
Apply K-Means clustering for customer analysis. Perform feature engineering and dimensionality reduction. Interpret cluster results for business strategies. Develop a segmentation dashboard for insights.
NLP Sentiment Analysis Project
Perform text preprocessing and vectorization. Build sentiment classification models. Apply TF-IDF and basic NLP techniques. Analyze customer reviews and social media data.
Deep Learning Image Classification
Build CNN models for image classification. Train neural networks using TensorFlow or PyTorch. Optimize models with backpropagation techniques. Develop an AI-powered image.
Generative AI Application
Implement transformer-based language models. Work with Large Language Models (LLMs). Apply prompt engineering techniques. Develop a chatbot or AI content generation system.
Model Deployment & MLOps
Deploy ML models using Flask or FastAPI. Containerize applications using Docker. Implement CI/CD pipelines for ML workflows. Monitor and maintain production AI systems.
End-to-End AI Capstone Project
Design a complete AI solution from data collection to deployment. Perform data preprocessing, modeling, and evaluation. Integrate cloud services for scalability. Present a production-ready AI.
Free Aptitude and
Technical Skills Training
Hands-On Projects
AI Powered Self
Interview Practice Portal
Interview Preparation
For Freshers
LMS Online Learning
Platform
