Comprehensive course on deep learning, transformer fine-tuning, vector database modeling, and LangChain frameworks.
Python variables, SQL Vector Environments, Modeling Foundations & Cursor/AI Assistant Synergy.
Feature Engineering, Model Interpretability (SHAP/LIME), Auto-ML (Vertex AI, H2O.ai).
Deep Neural networks with PyTorch, Transformers & Generative LLMs Fine-Tuning.
MLOps production pipelines as scalable microservices APIs & Capstone.
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