This full Generative AI for Beginners series (Part 1–18) is designed to guide learners step by step from zero knowledge to a strong foundational understanding of modern artificial intelligence. It provides a structured learning path that explains how Generative AI works and how it is used in real-world applications.

The series starts with the basics of artificial intelligence and introduces the core concept of Generative AI, explaining how models can create text, images, and other types of content. Learners will also explore how Large Language Models (LLMs) work, including key ideas like tokenization, embeddings, and transformer architecture in a simplified way.

As the series progresses, it focuses on practical skills such as prompt engineering, helping learners understand how to communicate effectively with AI tools like ChatGPT and other generative models. It also introduces real-world use cases including content creation, automation, productivity enhancement, and problem-solving using AI.

Later parts of the series gradually build a deeper understanding of advanced concepts, including AI limitations, responsible AI usage, and how Generative AI is shaping industries and career opportunities.

By the end of this 18-part series, learners will have a complete beginner-to-intermediate understanding of Generative AI and the confidence to st