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Core Requirements

Charles J. Fowler edited this page Jul 30, 2024 · 5 revisions

Core: Programme for Artificial Intelligence - The Technical Sessions

  • IBM SkillsBuild Account
    • Registration to IBM Skills Build Sessions 1-4: Live Sessions.
  • Google Drive and Account
  • GitHub Account option, preferred

Quick Start

To run these repository notebooks, with zero configuration, go to Quick Start

Access to Sessions 1-4

The following notebooks where the original by author: GitHub

  1. GoogleColab: Python
  2. GoogleColab: Unsupervised Learning

  3. 3.1 GoogleColab: GenAi: VAE
    3.2 GoogleColab: GenAI: Transformers
  4. GoogleColab: EmbedAI: OpenAI

Pre-requisites

  • Some familiarity with Python, however Session 1 covers the se basics
  • Access to Google Research's CoLab, with zero configuration, for
    • Interactive computing in the browser
    • Cloud Compute resources
  • Free Cloud Credits default or Purchased Credits for increase compute elective

Live Technical Sessions: Methods and Approaches

  • Visit Session.md for a in depth discussion of each session's methods and approaches, inclusive of libraries/frameworks/APIs.

Live Technical Sessions: Libraries Used

1. All Sessions

  • |
  • |

2. Session 1: Python Basics: The Fundamentals

  • |

3. Session 2: Machine Learning - Unsupervised Learning.

  • NumPy |
    • NumPy |
  • Matplotlib
  • SciKit Learn |
    • SciKit Learn |
    • SciKit Learn |
    • SciKit Learn |
    • SciKit Learn |
  • Pandas |

4. Session 3: Introduction to Generative AI

Session 3.1 GenAI: Auto-Encoders

  • TensorFlow |
    • TensorFlow |
  • Keras.io |
  • NumPy |
  • Matplotlib

Session 3.2 GenAI: Transformers

  • Hugging Face |
    • Hugging Face |
    • Hugging Face |
    • Hugging Face |
  • PyTorch |

Key

Example - Learn more by each button: navigate to each open-source project's website.