This comprehensive course explores the foundations of Generative AI and the technologies behind modern AI systems using AWS tools and services. Designed for learners interested in advanced artificial intelligence concepts, the course provides practical knowledge about foundation models, model training, prompt engineering, and scalable AI development.
Students will begin by learning the fundamentals of foundation models and how they power generative AI applications. The course explains how to select the right foundation model for different business and technical use cases while understanding performance, scalability, and deployment considerations.
Learners will also explore prompt engineering and fine-tuning techniques used to improve model responses and customize AI systems for specific tasks. Advanced topics include pretraining new foundation models, preparing large datasets, and training AI systems at scale using cloud infrastructure.
In addition, the course introduces reinforcement learning with human feedback (RLHF), a key technique used to align AI models with human preferences and improve response quality. Through expert-led lessons and real-world examples, students will gain valuable insights into the lifecycle of building and optimizing generative AI systems.
By the end of the course, learners will have a strong understanding of AWS-based generative AI technologies and modern AI model development w
