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The Architect of Intelligence - A vintage illustration showing a scientist building bridges between data and AI

Data Scientist: The Architect of Intelligence

"Data without context is noise. Intelligence without architecture is chaos. The modern Data Scientist must master both."

The Scientist's Query

Dear Marilyn,I spent years mastering statistics and scikit-learn. Now everyone just wants me to "call an API" for an LLM. Is my deep knowledge of algorithms useless? Or is there a way to combine classical data science with this new wave of AI?

Marilyn's Reply

Your foundation is your greatest asset. An API can generate text, but it cannot understand truth.

The future belongs to those who can bridge the gap. We will explore the LLM Revolution not as users, but as engineers. We will build RAG Pipelines to ground AI in reality, and master MLOps to turn experiments into production systems.

The LLM Revolution - Understanding Transformer architecture

Module 1: The LLM Revolution

Understanding the architecture of Transformers and how to fine-tune them for specific domains.

RAG Architecture - Retrieval-Augmented Generation pipelines

Module 2: RAG Architecture

Retrieval-Augmented Generation: Connecting your private data to Large Language Models securely.

MLOps Mastery - From notebooks to production pipelines

Module 3: MLOps Mastery

Moving from Jupyter Notebooks to production pipelines with automated testing and monitoring.

Scientist's Toolkit

  • Prompt Engineering
  • Vector Embeddings
  • Model Evaluation