Generative AI Fundamentals – LLMs, Prompts & Transformers

About this course

Generative AI Fundamentals: LLMs, Prompt Engineering, Transformers & Open-Source AI ModelsGenerative AI is transforming the way we create content, automate workflows, write code, conduct research, and build intelligent applications. This beginner-friendly course is designed to provide a strong conceptual and practical foundation for anyone interested in understanding the technologies behind modern AI systems such as ChatGPT and other Large Language Models (LLMs).

The course begins by introducing the fundamentals of Generative AI and clearly differentiates it from Traditional Artificial Intelligence. You will understand how Generative AI differs from rule-based systems and conventional machine learning approaches, and why it has become one of the most disruptive technologies across industries.

Next, you will explore the core building blocks of Large Language Models (LLMs) and gain an in-depth understanding of the "nuts and bolts" of Generative AI. Key topics include Transformer Architecture, Self-Attention Mechanism, Tokenization, Embeddings, Prompt Engineering, Prompt Semantics, context windows, and how LLMs process and generate human-like text. Complex concepts are explained in a simple and intuitive manner, making them accessible even to learners with little or no prior AI experience.

The course also introduces the practical aspects of working with Generative AI. You will learn how to set up a basic development environment for experimenting with open-source AI models, explore the Hugging Face ecosystem, and understand how to discover, download, and use pre-trained language models. In addition, you will learn how the Transformers Pipeline API simplifies inference tasks such as text generation, summarization, sentiment analysis, and question answering with just a few lines of code.

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