Learning Lab

Living archive of my ongoing learning and technical growth. Each directory represents a focused track, course, or tool I've explored with complete code samples, personal projects.

• Learning Lab
  • Introducing Generative AI with AWS
    • Topics Covered
    • What I learned
    • Python Environment Setup
  • Jupyter Notebooks
  • 🧠 Terminal Quiz

Introducing Generative AI with AWS

This course offers an in-depth exploration of generative artificial intelligence (AI), emphasizing its foundational concepts and real-world applications. We'll cover foundational concepts in machine learning and generative AI and hands-on practice will connect your technical knowledge to thinking about the responsible and inclusive use of AI.

Topics Covered

Artificial Intelligence in Context - The evolution of AI, tracing its milestones from inception to its modern-day ubiquity. Critically examine AI's integration across various industries, emphasizing its transformative societal impact.

Foundations of Artificial Intelligence and Machine Learning - Explore the relationship between AI and machine learning (ML). Participants will be introduced to the different ML methodologies, their practical applications, and the emergence of innovative AI models.

Understanding Large Language Models (LLMs) - A deep dive into the architectures of LLMs. Learn about transformer-based models, prompt engineering, and fine-tuning mechanisms.

Real-world Applications of Generative AI - Study the tangible societal effects of generative AI. Explore its potential for societal transformation and the imperative of its responsible deployment.

What I learned

Holistically describe AI's historical and societal context.

Identify the clear distinction between primary ML types and between AI and ML.

Discuss Large Language Models, particularly transformer-based architectures.

Provide perspective on the ethical, societal, and economic implications of generative AI, emphasizing responsible and inclusive deployment.

View Project

Python Environment Setup

• Python version: 3.11.8
• Recommended version manager: pyenv

pyenv install 3.11.8
pyenv local 3.11.8
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Jupyter Notebooks

jupyter lab

🧠 Terminal Quiz

Each module in the Learning Lab includes a simple terminal-based quiz powered by a shared core quiz engine.

# Ex. python terminal-quiz/terminal_quiz/engine.py [./**/**/quiz.json]
python terminal-quiz/terminal_quiz/engine.py ./udacity-introducing-generative-ai-with-aws/quiz.json