Introduction to the Course

Course Overview

This course is the first in a three-part series designed to guide you through implementing generative AI in your business. We'll focus on the "See" phase of the "See-Plan-Act" approach, providing a comprehensive overview of generative AI's core technical capabilities and their business applications.

Learning Objectives

• Understand the core capabilities of GenAI tools in business settings
• Envision future GenAI possibilities in the short and medium-term
• Analyze real-world GenAI implementation cases

Course Structure

The course consists of three modules:

• Module 1: Introduction
• Module 2: GenAI in Action - Maizey Case Study
• Module 3: GenAI Concepts

Each module includes lectures, readings, and discussions. A graded assignment in Module 3 requires an 80% score for course completion.

Key Policies

• Academic Honesty: Submit original work and properly cite sources
• GenAI Tools: Use aligns with course guidelines; consider ethical implications
• Participation: Engage respectfully and constructively in discussions
• Accessibility: Report any challenges via the feedback form
• Support: Use the Course Issues & Support forum for queries

Inclusive Learning Environment