This beginner-oriented Generative AI course introduces the core concepts behind modern AI systems and provides practical guidance for working with Large Language Models (LLMs) and AI-powered applications.
The course starts with an introduction to Generative AI and LLMs, explaining how modern AI models generate text, answer questions, and create human-like responses using deep learning techniques and massive datasets.
Learners then explore and compare different LLMs, gaining insight into how various models differ in capabilities, performance, context handling, and practical use cases. This section helps learners understand the rapidly evolving landscape of generative AI technologies.
A dedicated module focuses on responsible AI usage, covering ethical concerns such as hallucinations, misinformation, bias, privacy, and safe deployment practices. Learners understand why responsible AI development is essential in real-world applications.
The course then introduces prompt engineering fundamentals, teaching how prompts influence model outputs and how carefully designed instructions can improve accuracy and usefulness.
Advanced prompting techniques are also explored, including contextual prompting, role prompting, structured prompts, and iterative refinement strategies for more reliable AI interactions.
Practical sections guide learners through building text generation applications and AI-powered chat applications, demonstrating how LLMs can be integrated into real software systems.
By the end of the course, learners will understand the foundations of Generative AI, how LLMs operate, prompt engineering best practices, r
