18-Week Flagship Cohort
Data Science & Artificial Intelligence
Master statistical computing, machine learning modeling, deep neural networks, and modern Generative AI engineering. Deploy intelligent systems that solve real problems.
Module 01: Python for Data Science & Numerical Computing
NumPy matrix operations, Pandas data wrangling, data storytelling with Seaborn, and probability theory.
Module 02: Classical Machine Learning & Feature Engineering
Linear/Logistic regression, decision trees, random forests, XGBoost, cross-validation, and hyperparameter tuning.
Module 03: Deep Learning with PyTorch & Computer Vision
Feedforward neural networks, Convolutional Neural Networks (CNNs), transfer learning, image classification and object detection.
Module 04: Large Language Models, RAG & AI Agent Engineering
Transformer architectures, embeddings, vector databases (Pinecone, Chroma), LangChain, fine-tuning LLMs, and building autonomous agent pipelines.