Generative AI Foundations: The Complete Study and Practical Guide

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Introduction

Welcome to the Generative AI Foundations study and practice guide.
As a learner, you are entering a field that is advancing every month. This guide is organized to help you:

  • Understand the core concepts behind generative models
  • Practise the process of prompting and refining outputs
  • Identify which AI tools are appropriate for which tasks
  • Use AI responsibly, avoiding common pitfalls such as bias or misinformation

Throughout the course, we explore the four domains of the certification:

  1. Methods and Methodologies – What generative AI is, how models are built, and where they differ.
  2. Basic Prompt Engineering – How to communicate with AI systems in a clear, structured way.
  3. Prompt Refinement – How to improve, troubleshoot, and control outputs.
  4. Ethics, Law & Societal Impact – How to use AI safely, ethically, and within compliance boundaries.

 

Course Content

Domain 1: Generative AI Methods and Methodologies
Domain 2: Basic Prompt Engineering – From Text to Video
Domain 3: Prompt Refinement
DOMAIN 4 ETHICS, LAW, AND SOCIETAL IMPACT

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