The Basics of GenAi

Course Introduction 

Generative AI (GenAI) represents one of the most transformative leaps in modern technology, enabling machines to create text, images, audio, code, and even new ideas with human-like intelligence. This course, The Basics of GenAI, introduces learners to the foundations of how GenAI works—covering core concepts such as neural networks, large language models, diffusion models, and the role of data and training in shaping intelligent systems. Designed for beginners, it simplifies complex technical ideas into digestible insights while connecting them to real-world applications across industries like education, healthcare, manufacturing, entertainment, and business operations.

Throughout the course, learners will explore how GenAI models understand prompts, generate outputs, and continuously improve through feedback. Hands-on examples, demonstrations, and guided exercises will help participants gain practical familiarity with GenAI tools and workflows. By the end of this course, learners will have a strong conceptual grounding in GenAI, empowering them to use AI responsibly, creatively, and effectively in both academic and professional settings.

The Basics of GenAI

Learning Objectives

• Understand what Generative AI is and why it matters today

• Learn the difference between traditional AI and GenAI

• Explore how models like GPT, LLaMA, and diffusion models operate

• Identify common GenAI applications across industries

• Recognize key terminology: prompts, embeddings, inference, fine-tuning, transformers

• Understand risks, limitations, and responsible use of GenAI

• Gain beginner-level hands-on exposure to GenAI tools

Module Topics

• Introduction to AI vs. GenAI

• Core concepts: neural networks, transformers, embeddings

• How GenAI models are trained and optimized

• Text generation, image generation, and multimodal GenAI

• Prompting basics and simple prompt engineering

• Ethics, safety, and responsible AI practices

• Future trends and opportunities in the GenAI ecosystem

Assessment & Activities

• Short quizzes on core concepts

• Practical exercises: write prompts, generate outputs

• Mini case studies from different industries

• Reflection question: “How can GenAI enhance your field of study or work?”