·Artificial Intelligence
Module 8 Lesson 1: What Is Bias in LLMs?
LLMs don't have their own opinions, but they do reflect ours. In this lesson, we explore how bias enters the machine and why 'Neutrality' is harder than it sounds.
data-science
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·Artificial Intelligence
Module 5 Lesson 4: Positional Encoding – The Sense of Order
Transformers see a sentence all at once, which means they are naturally blind to word order. In our final lesson of Module 5, we learn how AI adds the 'GPS of words' to stay organized.
·DevOps
Module 14 Lesson 2: Project: Python AI/ML Workspace
Handle the heavy lifting. Learn how to containerize a Python Data Science environment with Jupyter Notebooks, Pandas, and GPU support.
·AWS Bedrock
Module 7 Lesson 2: Chunking and Embeddings
Slicing the Data. Understanding how Bedrock breaks docs into 'Chunks' and turns them into 'Vectors' of meaning.
·AI & LLMs
Module 11 Lesson 3: Training Data Preparation
Garbage In, garbage out. How to format your data in JSONL for successful fine-tuning.
·Projects
Capstone Project: The Automated Data Scientist
The Grand Finale. Apply everything from Modules 1-7 to build a fully automated system that cleans raw data, performs analysis, and chooses the best AI model.
·Programming
Module 5 Lesson 3: Working with CSV Data
Process spreadsheets like a pro. Learn how to use Python's built-in csv module to read and write structured data for analysis.
·Data Science
Module 6 Lesson 1: Intro to Data Science with Python
Turn numbers into insights. Learn why Python is the #1 language for Data Science and get an overview of the ecosystem including NumPy, Pandas, and Matplotlib.
·Data Science
Module 6 Lesson 11: Hands-on Projects
Master real-world data science. Choose from three advanced projects: Stock Market Tracking, Weather Pattern Analysis, or a Personal Habit Tracker.