Data Science Courses

Training Course on Video Analysis & Action Recognition provides a comprehensive deep dive into cutting-edge techniques and Deep Learning methodologies.

Training Course on Computer Vision for Autonomous Systems provides a comprehensive understanding of CV algorithms and their practical implementation in autonomous navigation and object recognition

Training Course on Cross-Lingual NLP and Machine Translation is designed to empower data scientists, AI engineers, and linguists with the essential skills to navigate the complexities of multilingual data.

Training Course on Sentiment Analysis & Opinion Mining (Advanced) is designed for professionals seeking to master the complexities of modern sentiment analysis, leveraging Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL).

Training Course on Text Generation & Summarization with Deep Learning introduces participants to the transformative power of Deep Learning in Natural Language Processing (NLP), specifically focusing on Text Generation and Text Summarization

Training Course on Image Classification with Transfer Learning provides a comprehensive deep dive into Image Classification using the powerful technique of Transfer Learning.

Training Course on Question Answering Systems with Natural Language Programming delves into the theoretical foundations and practical implementations of developing robust QA models, leveraging cutting-edge deep learning architectures and transformer models to build intelligent systems capable of accurate and efficient information retrieval.

Training Course on Named Entity Recognition (NER) and Information Extraction dives deep into Named Entity Recognition (NER) and Information Extraction (IE), equipping participants with cutting-edge Natural Language Processing (NLP) techniques to transform unstructured text into valuable, structured data

Training Course on Advanced Convolutional Neural Networks (CNNs) empowers professionals with the in-depth knowledge and practical skills to design, implement, and optimize state-of-the-art CNN architectures like ResNet, Inception, and EfficientNet.

Training Course on Graph Neural Networks (GNNs) & Graph Machine Learning dives deep into the theoretical foundations and practical applications of GNNs, equipping participants with the skills to effectively analyze and model complex network data.

Training Course on Bayesian Statistics for Data Science dives deep into Bayesian statistics, a powerful paradigm for probabilistic modeling and uncertainty quantification in the realm of data science.

Training Course on Advanced Statistical Modeling & Hypothesis Testing offers a deep dive into advanced statistical modeling and rigorous hypothesis testing, equipping participants with the analytical prowess to extract meaningful insights from complex datasets.