| Predictive Modeling & Core ML | Generative AI & LLM Systems |
|---|---|
Supervised Machine Learning: Regression and ClassificationProvider: DeepLearning.AI × Stanford (Andrew Ng) Role: The Foundation Focus: Mathematical and programmatic roots of AI: Regression, Classification, and Scikit-Learn. |
Generative AI with Large Language ModelsProvider: DeepLearning.AI × AWS Role: The Core Specialist Focus: The full Transformer lifecycle: Fine-tuning, PEFT/LoRA, and RLHF for model alignment. |
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NVIDIA: Generative AI ExplainedProvider: NVIDIA Deep Learning Institute Role: Theoretical Overview Focus: Foundational concepts, model architectures, and real-world deployment limitations. |
NVIDIA: Augment Your LLM Using RAGProvider: NVIDIA Deep Learning Institute Role: Implementation & Architecture Focus: Building Retrieval Augmented Generation systems to connect LLMs to external data. |