AWS AI Practitioner: Basic Concepts of Generative AI

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Generative AI is a newer form of artificial intelligence (AI) that differs from other AI approaches primarily because it creates original content, while other AI approaches analyze or classify existing data and information. In this course, learn generative AI concepts such as tokens, chunking, embeddings, vectors, prompt engineering, transformer-based LLMs, foundation models, multi-modal models, and diffusion models. Next, explore potential use cases for generative AI models, like image, video, and audio generation, as well as summarization, chatbots, translation, code generation, customer service agents, and search and recommendation engines. Finally, examine the foundation model lifecycle phases, including data selection, model selection, pre-training, fine-tuning, evaluation, deployment, and feedback. This course is part of a collection that prepares you for the AIF-C01: AWS Certified AI Practitioner exam.