Introduction to Generative AI

Module 1. Fundamentals of AI and Generative AI

Introduces what artificial intelligence is and how generative AI fits within the broader AI landscape, explaining how it differs from traditional AI models and why it’s rapidly transforming industries. Learners will gain foundational understanding of key concepts like large language models (LLMs), generation vs. classification, and essential terminology.

Module 2. How Generative Models Work

Explores the mechanics behind generative models, such as how they are trained and how they produce outputs. This module covers core model types including language models and basic neural network architectures that power content creation across text, images, and audio.

Module 3. Practical Use Cases and Applications

Examines real-world applications of generative AI across domains like content creation, creative media, business automation, customer support, and productivity tools. Students learn how generative AI is being used in text generation, image synthesis, and code generation.

Module 4. Working with Generative AI Tools

Introduces popular generative AI tools and platforms such as text and image generators and guides learners through basic hands‑on exercises. This includes creating outputs with tools like ChatGPT and similar interfaces to reinforce practical understanding.

Module 5. Fundamentals of Prompt Engineering

Focuses on how to craft effective prompts and interact with generative AI systems to achieve desired outcomes. Learners explore strategies for improving prompt clarity, context setting, and achieving reliable outputs across different use cases.

Module 6. Responsible and Ethical Use

Discusses ethical considerations, risks, and best practices for using generative AI responsibly. Topics include bias, data privacy, model limitations (e.g., hallucinations), and how to mitigate potential harm while deploying or integrating generative AI into workflows.

Module 7. Future Trends and Career Pathways

Looks ahead at how generative AI continues to evolve, emerging trends in AI research and industry adoption, and career opportunities that leverage generative AI skills providing guidance for learners on next steps and professional development.

Module 8. Capstone or Final Project

Applies knowledge gained in a culminating project where learners develop a simple generative AI task or case study. This could include creating a content generator, designing prompts for a business problem, or demonstrating ethical considerations in generative AI usage