Data Science & Machine Learning
End-to-end Data Science and ML course with hands-on training covering data preprocessing, model building, deep learning, LLMs, Generative AI, RAG pipelines, live projects, and internship certification.
Data Science and AI Pipeline Training
Comprehensive data science curriculum focused on exploratory data analysis, data cleaning, feature engineering, scaling, transformation, and model evaluation metrics.
Machine learning model training covers regression, classification, clustering, and ensemble methods. Deep learning modules include CNN, RNN, Transformers, and deployment with PyTorch and TensorFlow.
Enterprise AI includes instruction on large language models (LLMs), generative AI workflows, Retrieval-Augmented Generation (RAG), model fine-tuning, prompt design, and scalable inference. Live project-based learning with internship certificate placements ensures job-ready portfolio outcomes.
Data Preprocessing & Feature Engineering
Master data cleaning, imputation, normalization, encoding, and principle feature engineering techniques for production-ready models.
Learn to handle missing values, outliers, categorical encoding, scaling, NLP pre-processing, and pipeline automation with scikit-learn and pandas.
Machine Learning Model Training
Train and tune regression, classification, clustering, and ensemble models with cross-validation and model selection best practices.
Work with scikit-learn, XGBoost, LightGBM, model metrics, hyperparameter search, and deployment-ready performance evaluation.
Deep Learning & Neural Networks
Build CNNs, RNNs, and transformer architectures for vision, sequence, and language tasks using TensorFlow and PyTorch.
Learn model optimization, dropout, regularization, transfer learning, and deployment techniques with GPU acceleration.
Large Language Models & Generative AI
Explore LLM fundamentals, embeddings, prompt engineering, fine-tuning, and production workflows with OpenAI and open-source models.
Implement GenAI use-cases: text generation, summarization, chatbot agents, and real-time conversational AI with robust safety controls.
RAG & Live Project with Internship
Build Retrieval-Augmented Generation pipelines using vector stores and knowledge retrieval for high-quality context-aware AI responses.
Apply your portfolio to real-world projects, complete capstone assignments, and earn an internship certificate with mentorship from industry experts.
