GEN AI: From Basics to Advanced Level

Generative AI: From Basics to Expert with Hands-On is a comprehensive course designed to take students through the exciting world of generative artificial intelligence. Starting with foundational concepts, students will learn the basics of Generative AI, including an introduction to Large Language Models (LLMs) and the importance of prompt engineering, a crucial skill for guiding AI responses.

The course dives deeper into essential topics such as word embeddings and artificial neural networks, which form the backbone of generative models. Through hands-on practice, students will work with popular frameworks like Hugging Face and Lang Chain to apply LLMs in real scenarios, such as processing data from PDFs or Wikipedia and creating meaningful outputs.

Students will also learn Retrieval-Augmented Generation, applying LLMs to private datasets to provide customized solutions. Beyond that, they’ll build intelligent agents capable of performing tasks independently, a skill that has real-world applications in automation and productivity.

Additionally, the course covers advanced theories, such as deep learning algorithms and Transformers, offering insights into how these technologies reshape content creation, code generation, and translation. Generative AI skills are in high demand across industries, making this course a powerful step toward a career in this transformative field. Through this hands-on approach, students will be prepared to leverage generative AI’s potential and gain valuable expertise for future opportunities.