Generative AI and Large Language Models

Aspiring AI developers and tech professionals seeking a solid, foundational entry point into the world of artificial intelligence will find exactly what they need in Generative AI and Large Language Models by Sujithkumar MA. This course bridges the gap between theoretical machine learning concepts and practical, hands-on execution. Designed to demystify complex architectures, the curriculum breaks down the inner workings of Transformers, self-attention mechanisms, and neural networks into digestible, beginner-friendly segments. What sets this course apart is its emphasis on actual implementation; learners do not just watch slides but actively write code. Through interactive Python labs, students gain direct experience utilizing the Hugging Face library to load pre-trained models, manipulate tokenizers, and run local inference. Beyond simple generation, the course addresses critical production challenges, teaching students how to systematically evaluate, fine-tune, and align model outputs for specific real-world tasks. Whether you are a software engineer transitioning into AI, a data analyst looking to automate text workflows, or an entrepreneur aiming to leverage LLMs for custom business applications, this learning path equips you with the conceptual confidence and coding skills to start building immediately.