Machine Learning & Deep Learning

Our course focuses on three essential domains in machine learning and deep learning divided in three self-contained modules as follows:

• 1.Natural Language Processing Module: It will dive into the latest developments in NLP, especially Transformer-based architectures, preparing you for the forefront of research and applications. Learn to build robust text processing pipelines using Python libraries like HuggingFace, spacy, genism, fasttext, NLTK, and delve into vector embeddings. Explore LSTM and Transformer models, including practical applications like ChatGPT.
• 2.Time Series Forecasting Module: It will equip you with expertise in time series forecasting with applications in finance, insurance, supply chain management, and more.
• 3.Unsupervised Machine Learning Module: It will make you ready for dimensionality reduction, clustering analysis, anomaly detection, and outlier analysis, applicable for exploratory data analysis and integration with deep learning models. Our course is designed to equip you for real-world AI projects and industry-grade products. You will be well-prepared to pursue in-demand industry roles in NLP, Time-Series Forecasting, and Unsupervised ML.