🚀 Starting 14th April 2026
Learn, build, and innovate with experts from 10+ startups while solving 30+ real industrial problem statements — all in one powerful internship program.
Stop watching tutorials. Start building production-grade AI, ML, Data Science and Computer Vision systems. Join our intensive summer internship 2026 designed to turn ambitious students into industry-ready AI Engineers.
Traditional internships leave you fetching coffee. We leave you fetching APIs and deploying LLMs.
Learn how to take a model from a Jupyter Notebook to a live cloud environment. We focus on scalability, latency, and real-user impact.
Work alongside senior engineers from Menmozhi Technologies. Get weekly code reviews and 1-on-1 career guidance sessions.
Don't just build "To-Do" lists. Build RAG-based document analyzers, multimodal chatbots, and automated vision systems for your portfolio.
Learn directly from practitioners who build AI at scale.
Founder & CEO, Menmozhi Technologies Pvt Ltd
AI, ML & Computer Vision
Partner, Jeev Lifeworks LLP
Enterprise Software Architect
AI Lead, Karomi Technology Private Limited
AI & ML Specialist
Founder & CEO, Propeller Technology Pvt Ltd
Entreprenuer & STEM Expert
Founder & CEO, Dorus Tree Private Limited
Startup & Business Consulting Expert
Director, Digital South Trust
Blockchain Expert
Founder & CEO, BCBUZZ Technologies Private Limited
Founder & CEO
Founder & CTO, Boxfile Web Services Pvt Ltd
Enterprise Cloud Architect
CEO - ZAFI Robots Pvt Ltd
Robotics & STEM Expert
Menmozhi Technologies Pvt Ltd
ML & NLP Expert
Our curriculum is engineered to bridge the gap between academic theory and industrial application. You won't just learn algorithms; you'll learn how to make them survive in the real world.
Before AI comes the architecture. Master advanced Python patterns, asynchronous programming, and the math that matters.
NumPy, Pandas, Git Workflows, Vectorized OperationsGo beyond `model.fit()`. Understand bias-variance trade-offs, ensemble methods like XGBoost/LightGBM, and the art of feature engineering for tabular data.
Scikit-Learn, Hyperparameter Tuning, Cross-ValidationDemystify the "Black Box." Build neural networks from scratch to understand backpropagation, then scale up using industry-standard frameworks.
PyTorch, Autograd, Transfer Learning, Custom Loss FunctionsTeach machines to see. Transition from basic image classification to real-time object detection, segmentation, and pose estimation using modern SOTA models.
OpenCV, YOLOv10, Segmentation (SAM), OCR PipelinesThe core of the revolution. Master prompt engineering, Retrieval-Augmented Generation (RAG), and building autonomous agents that can use external tools.
LangChain, Vector DBs, Fine-tuning Llama-3, Tool-Use AgentsThe "Final Boss" of AI engineering. Containerize your models and deploy them to cloud clusters with monitoring, logging, and auto-scaling.
Docker, Kubernetes, FastAPI, AWS SageMaker, MonitoringExperts will share their experiences and best practices to follow to turn students innovations into startups.
Entreprenuership, Startups, InnovationsOnly limited seats available for the 2026 cohort.
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